Salary_classification_UCI.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from xgboost import XGBClassifier\n",
    "from sklearn.neural_network import MLPClassifier\n",
    "from sklearn import model_selection\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn import preprocessing\n",
    "\n",
    "from xgboost import plot_importance\n",
    "import numpy as np\n",
    "from sklearn.metrics import confusion_matrix\n",
    "\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "pd.set_option('display.max_columns', 500)\n",
    "pd.set_option('display.max_rows', 500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(32561, 15)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = pd.read_csv(\"Adult.csv\")\n",
    "ds.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16281, 15)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_test = pd.read_csv(\"Adult_test.csv\")\n",
    "ds_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(48842, 15)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged = pd.concat([ds, ds_test])\n",
    "ds_merged.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_merged = ds_merged.replace(\" ?\", np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>workclass</th>\n",
       "      <th>fnlwgt</th>\n",
       "      <th>education</th>\n",
       "      <th>education-num</th>\n",
       "      <th>marital-status</th>\n",
       "      <th>occupation</th>\n",
       "      <th>relationship</th>\n",
       "      <th>race</th>\n",
       "      <th>sex</th>\n",
       "      <th>capital-gain</th>\n",
       "      <th>capital-loss</th>\n",
       "      <th>hours-per-week</th>\n",
       "      <th>native-country</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>39</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>77516</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>2174</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>50</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>83311</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>38</td>\n",
       "      <td>Private</td>\n",
       "      <td>215646</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>53</td>\n",
       "      <td>Private</td>\n",
       "      <td>234721</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>28</td>\n",
       "      <td>Private</td>\n",
       "      <td>338409</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Wife</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Cuba</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>37</td>\n",
       "      <td>Private</td>\n",
       "      <td>284582</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>49</td>\n",
       "      <td>Private</td>\n",
       "      <td>160187</td>\n",
       "      <td>9th</td>\n",
       "      <td>5</td>\n",
       "      <td>Married-spouse-absent</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>Jamaica</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>52</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>209642</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>31</td>\n",
       "      <td>Private</td>\n",
       "      <td>45781</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>14084</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>42</td>\n",
       "      <td>Private</td>\n",
       "      <td>159449</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>5178</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>37</td>\n",
       "      <td>Private</td>\n",
       "      <td>280464</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>80</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>30</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>141297</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>India</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>23</td>\n",
       "      <td>Private</td>\n",
       "      <td>122272</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>32</td>\n",
       "      <td>Private</td>\n",
       "      <td>205019</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>40</td>\n",
       "      <td>Private</td>\n",
       "      <td>121772</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>34</td>\n",
       "      <td>Private</td>\n",
       "      <td>245487</td>\n",
       "      <td>7th-8th</td>\n",
       "      <td>4</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Amer-Indian-Eskimo</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>25</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>176756</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Farming-fishing</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>32</td>\n",
       "      <td>Private</td>\n",
       "      <td>186824</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>38</td>\n",
       "      <td>Private</td>\n",
       "      <td>28887</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>43</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>292175</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>40</td>\n",
       "      <td>Private</td>\n",
       "      <td>193524</td>\n",
       "      <td>Doctorate</td>\n",
       "      <td>16</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>54</td>\n",
       "      <td>Private</td>\n",
       "      <td>302146</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>35</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>76845</td>\n",
       "      <td>9th</td>\n",
       "      <td>5</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Farming-fishing</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>43</td>\n",
       "      <td>Private</td>\n",
       "      <td>117037</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>2042</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>59</td>\n",
       "      <td>Private</td>\n",
       "      <td>109015</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>56</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>216851</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>19</td>\n",
       "      <td>Private</td>\n",
       "      <td>168294</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>54</td>\n",
       "      <td>NaN</td>\n",
       "      <td>180211</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>South</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>39</td>\n",
       "      <td>Private</td>\n",
       "      <td>367260</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>80</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>49</td>\n",
       "      <td>Private</td>\n",
       "      <td>193366</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>23</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>190709</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Protective-serv</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>52</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>20</td>\n",
       "      <td>Private</td>\n",
       "      <td>266015</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>45</td>\n",
       "      <td>Private</td>\n",
       "      <td>386940</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1408</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>30</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>59951</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>22</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>311512</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>48</td>\n",
       "      <td>Private</td>\n",
       "      <td>242406</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Puerto-Rico</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>21</td>\n",
       "      <td>Private</td>\n",
       "      <td>197200</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>19</td>\n",
       "      <td>Private</td>\n",
       "      <td>544091</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-AF-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>31</td>\n",
       "      <td>Private</td>\n",
       "      <td>84154</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>48</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>265477</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>31</td>\n",
       "      <td>Private</td>\n",
       "      <td>507875</td>\n",
       "      <td>9th</td>\n",
       "      <td>5</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>53</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>88506</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>24</td>\n",
       "      <td>Private</td>\n",
       "      <td>172987</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>49</td>\n",
       "      <td>Private</td>\n",
       "      <td>94638</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>25</td>\n",
       "      <td>Private</td>\n",
       "      <td>289980</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>57</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>337895</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>53</td>\n",
       "      <td>Private</td>\n",
       "      <td>144361</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>44</td>\n",
       "      <td>Private</td>\n",
       "      <td>128354</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>41</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>101603</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>29</td>\n",
       "      <td>Private</td>\n",
       "      <td>271466</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>25</td>\n",
       "      <td>Private</td>\n",
       "      <td>32275</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Wife</td>\n",
       "      <td>Other</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>18</td>\n",
       "      <td>Private</td>\n",
       "      <td>226956</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>47</td>\n",
       "      <td>Private</td>\n",
       "      <td>51835</td>\n",
       "      <td>Prof-school</td>\n",
       "      <td>15</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>1902</td>\n",
       "      <td>60</td>\n",
       "      <td>Honduras</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>50</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>251585</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>47</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>109832</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>43</td>\n",
       "      <td>Private</td>\n",
       "      <td>237993</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>46</td>\n",
       "      <td>Private</td>\n",
       "      <td>216666</td>\n",
       "      <td>5th-6th</td>\n",
       "      <td>3</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>35</td>\n",
       "      <td>Private</td>\n",
       "      <td>56352</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Puerto-Rico</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>41</td>\n",
       "      <td>Private</td>\n",
       "      <td>147372</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>30</td>\n",
       "      <td>Private</td>\n",
       "      <td>188146</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>5013</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>30</td>\n",
       "      <td>Private</td>\n",
       "      <td>59496</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>2407</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>32</td>\n",
       "      <td>NaN</td>\n",
       "      <td>293936</td>\n",
       "      <td>7th-8th</td>\n",
       "      <td>4</td>\n",
       "      <td>Married-spouse-absent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>48</td>\n",
       "      <td>Private</td>\n",
       "      <td>149640</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>42</td>\n",
       "      <td>Private</td>\n",
       "      <td>116632</td>\n",
       "      <td>Doctorate</td>\n",
       "      <td>16</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>29</td>\n",
       "      <td>Private</td>\n",
       "      <td>105598</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>36</td>\n",
       "      <td>Private</td>\n",
       "      <td>155537</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>28</td>\n",
       "      <td>Private</td>\n",
       "      <td>183175</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>53</td>\n",
       "      <td>Private</td>\n",
       "      <td>169846</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>49</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>191681</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>200681</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>19</td>\n",
       "      <td>Private</td>\n",
       "      <td>101509</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>31</td>\n",
       "      <td>Private</td>\n",
       "      <td>309974</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>29</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>162298</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>70</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>23</td>\n",
       "      <td>Private</td>\n",
       "      <td>211678</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>79</td>\n",
       "      <td>Private</td>\n",
       "      <td>124744</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>213921</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>40</td>\n",
       "      <td>Private</td>\n",
       "      <td>32214</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>67</td>\n",
       "      <td>NaN</td>\n",
       "      <td>212759</td>\n",
       "      <td>10th</td>\n",
       "      <td>6</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>18</td>\n",
       "      <td>Private</td>\n",
       "      <td>309634</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>31</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>125927</td>\n",
       "      <td>7th-8th</td>\n",
       "      <td>4</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Farming-fishing</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>18</td>\n",
       "      <td>Private</td>\n",
       "      <td>446839</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>52</td>\n",
       "      <td>Private</td>\n",
       "      <td>276515</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Cuba</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>46</td>\n",
       "      <td>Private</td>\n",
       "      <td>51618</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>59</td>\n",
       "      <td>Private</td>\n",
       "      <td>159937</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>44</td>\n",
       "      <td>Private</td>\n",
       "      <td>343591</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>14344</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>53</td>\n",
       "      <td>Private</td>\n",
       "      <td>346253</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>49</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>268234</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Protective-serv</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>33</td>\n",
       "      <td>Private</td>\n",
       "      <td>202051</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>30</td>\n",
       "      <td>Private</td>\n",
       "      <td>54334</td>\n",
       "      <td>9th</td>\n",
       "      <td>5</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>43</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>410867</td>\n",
       "      <td>Doctorate</td>\n",
       "      <td>16</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>57</td>\n",
       "      <td>Private</td>\n",
       "      <td>249977</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>37</td>\n",
       "      <td>Private</td>\n",
       "      <td>286730</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>28</td>\n",
       "      <td>Private</td>\n",
       "      <td>212563</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>30</td>\n",
       "      <td>Private</td>\n",
       "      <td>117747</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Wife</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>1573</td>\n",
       "      <td>35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>34</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>226296</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Protective-serv</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>29</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>115585</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>48</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>191277</td>\n",
       "      <td>Doctorate</td>\n",
       "      <td>16</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1902</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>37</td>\n",
       "      <td>Private</td>\n",
       "      <td>202683</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>48</td>\n",
       "      <td>Private</td>\n",
       "      <td>171095</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>England</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>32</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>249409</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>76</td>\n",
       "      <td>Private</td>\n",
       "      <td>124191</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>44</td>\n",
       "      <td>Private</td>\n",
       "      <td>198282</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>15024</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>47</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>149116</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>20</td>\n",
       "      <td>Private</td>\n",
       "      <td>188300</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>29</td>\n",
       "      <td>Private</td>\n",
       "      <td>103432</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>32</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>317660</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>7688</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>304873</td>\n",
       "      <td>10th</td>\n",
       "      <td>6</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>34095</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>30</td>\n",
       "      <td>Private</td>\n",
       "      <td>194901</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>31</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>189265</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>42</td>\n",
       "      <td>Private</td>\n",
       "      <td>124692</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>24</td>\n",
       "      <td>Private</td>\n",
       "      <td>432376</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>38</td>\n",
       "      <td>Private</td>\n",
       "      <td>65324</td>\n",
       "      <td>Prof-school</td>\n",
       "      <td>15</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>56</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>335605</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1887</td>\n",
       "      <td>50</td>\n",
       "      <td>Canada</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>28</td>\n",
       "      <td>Private</td>\n",
       "      <td>377869</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>4064</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>36</td>\n",
       "      <td>Private</td>\n",
       "      <td>102864</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>53</td>\n",
       "      <td>Private</td>\n",
       "      <td>95647</td>\n",
       "      <td>9th</td>\n",
       "      <td>5</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>56</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>303090</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>49</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>197371</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>55</td>\n",
       "      <td>Private</td>\n",
       "      <td>247552</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>22</td>\n",
       "      <td>Private</td>\n",
       "      <td>102632</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>21</td>\n",
       "      <td>Private</td>\n",
       "      <td>199915</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>40</td>\n",
       "      <td>Private</td>\n",
       "      <td>118853</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>30</td>\n",
       "      <td>Private</td>\n",
       "      <td>77143</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Germany</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>29</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>267989</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>19</td>\n",
       "      <td>Private</td>\n",
       "      <td>301606</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>47</td>\n",
       "      <td>Private</td>\n",
       "      <td>287828</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>20</td>\n",
       "      <td>Private</td>\n",
       "      <td>111697</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>1719</td>\n",
       "      <td>28</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>31</td>\n",
       "      <td>Private</td>\n",
       "      <td>114937</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>129305</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>39</td>\n",
       "      <td>Private</td>\n",
       "      <td>365739</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>28</td>\n",
       "      <td>Private</td>\n",
       "      <td>69621</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>24</td>\n",
       "      <td>Private</td>\n",
       "      <td>43323</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>1762</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>38</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>120985</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>4386</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>37</td>\n",
       "      <td>Private</td>\n",
       "      <td>254202</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>46</td>\n",
       "      <td>Private</td>\n",
       "      <td>146195</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>38</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>125933</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Iran</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>43</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>56920</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>163127</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>20</td>\n",
       "      <td>Private</td>\n",
       "      <td>34310</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>49</td>\n",
       "      <td>Private</td>\n",
       "      <td>81973</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>61</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>66614</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>232782</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>19</td>\n",
       "      <td>Private</td>\n",
       "      <td>316868</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>45</td>\n",
       "      <td>Private</td>\n",
       "      <td>196584</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>1564</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>70</td>\n",
       "      <td>Private</td>\n",
       "      <td>105376</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>31</td>\n",
       "      <td>Private</td>\n",
       "      <td>185814</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>22</td>\n",
       "      <td>Private</td>\n",
       "      <td>175374</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>36</td>\n",
       "      <td>Private</td>\n",
       "      <td>108293</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>64</td>\n",
       "      <td>Private</td>\n",
       "      <td>181232</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>2179</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>43</td>\n",
       "      <td>NaN</td>\n",
       "      <td>174662</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>47</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>186009</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>34</td>\n",
       "      <td>Private</td>\n",
       "      <td>198183</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>33</td>\n",
       "      <td>Private</td>\n",
       "      <td>163003</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Philippines</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>21</td>\n",
       "      <td>Private</td>\n",
       "      <td>296158</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>52</td>\n",
       "      <td>NaN</td>\n",
       "      <td>252903</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>48</td>\n",
       "      <td>Private</td>\n",
       "      <td>187715</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>23</td>\n",
       "      <td>Private</td>\n",
       "      <td>214542</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>71</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>494223</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1816</td>\n",
       "      <td>2</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>29</td>\n",
       "      <td>Private</td>\n",
       "      <td>191535</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>42</td>\n",
       "      <td>Private</td>\n",
       "      <td>228456</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>68</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38317</td>\n",
       "      <td>1st-4th</td>\n",
       "      <td>2</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>25</td>\n",
       "      <td>Private</td>\n",
       "      <td>252752</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>44</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>78374</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>28</td>\n",
       "      <td>Private</td>\n",
       "      <td>88419</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>England</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>45</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>201080</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>36</td>\n",
       "      <td>Private</td>\n",
       "      <td>207157</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>39</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>235485</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>46</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>102628</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>Protective-serv</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>18</td>\n",
       "      <td>Private</td>\n",
       "      <td>25828</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>66</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>54826</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>124953</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1980</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>28</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>175325</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Protective-serv</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>51</td>\n",
       "      <td>Private</td>\n",
       "      <td>96062</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1977</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>428030</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>28</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>149624</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>253814</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-spouse-absent</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>21</td>\n",
       "      <td>Private</td>\n",
       "      <td>312956</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>34</td>\n",
       "      <td>Private</td>\n",
       "      <td>483777</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>18</td>\n",
       "      <td>Private</td>\n",
       "      <td>183930</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>33</td>\n",
       "      <td>Private</td>\n",
       "      <td>37274</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>44</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>181344</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>43</td>\n",
       "      <td>Private</td>\n",
       "      <td>114580</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>30</td>\n",
       "      <td>Private</td>\n",
       "      <td>633742</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>40</td>\n",
       "      <td>Private</td>\n",
       "      <td>286370</td>\n",
       "      <td>7th-8th</td>\n",
       "      <td>4</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>37</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>29054</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>34</td>\n",
       "      <td>Private</td>\n",
       "      <td>304030</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>41</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>143129</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135105</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>31</td>\n",
       "      <td>Private</td>\n",
       "      <td>99928</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>58</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>109567</td>\n",
       "      <td>Doctorate</td>\n",
       "      <td>16</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>38</td>\n",
       "      <td>Private</td>\n",
       "      <td>155222</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>24</td>\n",
       "      <td>Private</td>\n",
       "      <td>159567</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>41</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>523910</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>47</td>\n",
       "      <td>Private</td>\n",
       "      <td>120939</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>41</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>130760</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>23</td>\n",
       "      <td>Private</td>\n",
       "      <td>197387</td>\n",
       "      <td>5th-6th</td>\n",
       "      <td>3</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>36</td>\n",
       "      <td>Private</td>\n",
       "      <td>99374</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>40</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>56795</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>14084</td>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>35</td>\n",
       "      <td>Private</td>\n",
       "      <td>138992</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>7298</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>24</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>32921</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>26</td>\n",
       "      <td>Private</td>\n",
       "      <td>397317</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>1876</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>170653</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Italy</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>51</td>\n",
       "      <td>Private</td>\n",
       "      <td>259323</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>42</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>254817</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>1340</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>37</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>48211</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>18</td>\n",
       "      <td>Private</td>\n",
       "      <td>140164</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>36</td>\n",
       "      <td>Private</td>\n",
       "      <td>128757</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>7298</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>35</td>\n",
       "      <td>Private</td>\n",
       "      <td>36270</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>58</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>210563</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>15024</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>17</td>\n",
       "      <td>Private</td>\n",
       "      <td>65368</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>44</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>160943</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>37</td>\n",
       "      <td>Private</td>\n",
       "      <td>208358</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>35</td>\n",
       "      <td>Private</td>\n",
       "      <td>153790</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Amer-Indian-Eskimo</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>60</td>\n",
       "      <td>Private</td>\n",
       "      <td>85815</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>54</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>125417</td>\n",
       "      <td>7th-8th</td>\n",
       "      <td>4</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>37</td>\n",
       "      <td>Private</td>\n",
       "      <td>635913</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>50</td>\n",
       "      <td>Private</td>\n",
       "      <td>313321</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>38</td>\n",
       "      <td>Private</td>\n",
       "      <td>182609</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>Poland</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>45</td>\n",
       "      <td>Private</td>\n",
       "      <td>109434</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>25</td>\n",
       "      <td>Private</td>\n",
       "      <td>255004</td>\n",
       "      <td>10th</td>\n",
       "      <td>6</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>31</td>\n",
       "      <td>Private</td>\n",
       "      <td>197860</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>64</td>\n",
       "      <td>NaN</td>\n",
       "      <td>187656</td>\n",
       "      <td>1st-4th</td>\n",
       "      <td>2</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>90</td>\n",
       "      <td>Private</td>\n",
       "      <td>51744</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>2206</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>54</td>\n",
       "      <td>Private</td>\n",
       "      <td>176681</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>53</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>140359</td>\n",
       "      <td>Preschool</td>\n",
       "      <td>1</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>18</td>\n",
       "      <td>Private</td>\n",
       "      <td>243313</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24215</td>\n",
       "      <td>10th</td>\n",
       "      <td>6</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Amer-Indian-Eskimo</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>66</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>167687</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Farming-fishing</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>1409</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>75</td>\n",
       "      <td>Private</td>\n",
       "      <td>314209</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>Columbia</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>65</td>\n",
       "      <td>Private</td>\n",
       "      <td>176796</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>35</td>\n",
       "      <td>Private</td>\n",
       "      <td>538583</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>3674</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>41</td>\n",
       "      <td>Private</td>\n",
       "      <td>130408</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>25</td>\n",
       "      <td>Private</td>\n",
       "      <td>159732</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>33</td>\n",
       "      <td>Private</td>\n",
       "      <td>110978</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>Other</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>28</td>\n",
       "      <td>Private</td>\n",
       "      <td>76714</td>\n",
       "      <td>Prof-school</td>\n",
       "      <td>15</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>59</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>268700</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>40</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>170525</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>41</td>\n",
       "      <td>Private</td>\n",
       "      <td>180138</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>Iran</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>38</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>115076</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>70</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>23</td>\n",
       "      <td>Private</td>\n",
       "      <td>115458</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>40</td>\n",
       "      <td>Private</td>\n",
       "      <td>347890</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>41</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>196001</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>24</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>273905</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Protective-serv</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119156</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>38</td>\n",
       "      <td>Private</td>\n",
       "      <td>179488</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1741</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>56</td>\n",
       "      <td>Private</td>\n",
       "      <td>203580</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>58</td>\n",
       "      <td>Private</td>\n",
       "      <td>236596</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>32</td>\n",
       "      <td>Private</td>\n",
       "      <td>183916</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>40</td>\n",
       "      <td>Private</td>\n",
       "      <td>207578</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1977</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>45</td>\n",
       "      <td>Private</td>\n",
       "      <td>153141</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16031</th>\n",
       "      <td>30</td>\n",
       "      <td>Private</td>\n",
       "      <td>235847</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16032</th>\n",
       "      <td>56</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124319</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16033</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>193807</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1741</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16034</th>\n",
       "      <td>69</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>215926</td>\n",
       "      <td>7th-8th</td>\n",
       "      <td>4</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16035</th>\n",
       "      <td>19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>455665</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16036</th>\n",
       "      <td>36</td>\n",
       "      <td>Private</td>\n",
       "      <td>36423</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16037</th>\n",
       "      <td>42</td>\n",
       "      <td>Private</td>\n",
       "      <td>32878</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>99999</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16038</th>\n",
       "      <td>25</td>\n",
       "      <td>Private</td>\n",
       "      <td>96862</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>2174</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16039</th>\n",
       "      <td>17</td>\n",
       "      <td>Private</td>\n",
       "      <td>187879</td>\n",
       "      <td>9th</td>\n",
       "      <td>5</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16040</th>\n",
       "      <td>40</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>36296</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16041</th>\n",
       "      <td>40</td>\n",
       "      <td>Private</td>\n",
       "      <td>75615</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16042</th>\n",
       "      <td>17</td>\n",
       "      <td>Private</td>\n",
       "      <td>168807</td>\n",
       "      <td>10th</td>\n",
       "      <td>6</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16043</th>\n",
       "      <td>24</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>161783</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16044</th>\n",
       "      <td>40</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>13492</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Protective-serv</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Amer-Indian-Eskimo</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>84</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16045</th>\n",
       "      <td>65</td>\n",
       "      <td>Private</td>\n",
       "      <td>119769</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>Priv-house-serv</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16046</th>\n",
       "      <td>38</td>\n",
       "      <td>Private</td>\n",
       "      <td>313914</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Farming-fishing</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16047</th>\n",
       "      <td>33</td>\n",
       "      <td>Private</td>\n",
       "      <td>172584</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>1590</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16048</th>\n",
       "      <td>28</td>\n",
       "      <td>Private</td>\n",
       "      <td>112425</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16049</th>\n",
       "      <td>22</td>\n",
       "      <td>Private</td>\n",
       "      <td>157783</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>Vietnam</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16050</th>\n",
       "      <td>34</td>\n",
       "      <td>Private</td>\n",
       "      <td>356882</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16051</th>\n",
       "      <td>61</td>\n",
       "      <td>Private</td>\n",
       "      <td>156852</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16052</th>\n",
       "      <td>63</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>175177</td>\n",
       "      <td>Prof-school</td>\n",
       "      <td>15</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16053</th>\n",
       "      <td>28</td>\n",
       "      <td>Private</td>\n",
       "      <td>425127</td>\n",
       "      <td>9th</td>\n",
       "      <td>5</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16054</th>\n",
       "      <td>30</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>99761</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16055</th>\n",
       "      <td>36</td>\n",
       "      <td>Private</td>\n",
       "      <td>272950</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16056</th>\n",
       "      <td>43</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>174295</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16057</th>\n",
       "      <td>24</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>157678</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-spouse-absent</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>2036</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16058</th>\n",
       "      <td>52</td>\n",
       "      <td>Private</td>\n",
       "      <td>186224</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16059</th>\n",
       "      <td>17</td>\n",
       "      <td>Private</td>\n",
       "      <td>142587</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16060</th>\n",
       "      <td>46</td>\n",
       "      <td>Private</td>\n",
       "      <td>131091</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16061</th>\n",
       "      <td>43</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>71269</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16062</th>\n",
       "      <td>54</td>\n",
       "      <td>Private</td>\n",
       "      <td>311551</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16063</th>\n",
       "      <td>22</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>171041</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16064</th>\n",
       "      <td>42</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>140915</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>South</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16065</th>\n",
       "      <td>46</td>\n",
       "      <td>Private</td>\n",
       "      <td>41223</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16066</th>\n",
       "      <td>46</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>292569</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>7298</td>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16067</th>\n",
       "      <td>44</td>\n",
       "      <td>Private</td>\n",
       "      <td>132921</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16068</th>\n",
       "      <td>59</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>177271</td>\n",
       "      <td>Prof-school</td>\n",
       "      <td>15</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>99999</td>\n",
       "      <td>0</td>\n",
       "      <td>84</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16069</th>\n",
       "      <td>58</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>314482</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16070</th>\n",
       "      <td>36</td>\n",
       "      <td>Private</td>\n",
       "      <td>310531</td>\n",
       "      <td>10th</td>\n",
       "      <td>6</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16071</th>\n",
       "      <td>29</td>\n",
       "      <td>Private</td>\n",
       "      <td>145490</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16072</th>\n",
       "      <td>61</td>\n",
       "      <td>Private</td>\n",
       "      <td>181200</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1564</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16073</th>\n",
       "      <td>29</td>\n",
       "      <td>Private</td>\n",
       "      <td>152951</td>\n",
       "      <td>Prof-school</td>\n",
       "      <td>15</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>Canada</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16074</th>\n",
       "      <td>40</td>\n",
       "      <td>Private</td>\n",
       "      <td>85668</td>\n",
       "      <td>7th-8th</td>\n",
       "      <td>4</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16075</th>\n",
       "      <td>30</td>\n",
       "      <td>Private</td>\n",
       "      <td>316606</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>2339</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16076</th>\n",
       "      <td>38</td>\n",
       "      <td>Private</td>\n",
       "      <td>220694</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16077</th>\n",
       "      <td>24</td>\n",
       "      <td>Private</td>\n",
       "      <td>408585</td>\n",
       "      <td>7th-8th</td>\n",
       "      <td>4</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Farming-fishing</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16078</th>\n",
       "      <td>42</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>36699</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16079</th>\n",
       "      <td>50</td>\n",
       "      <td>Private</td>\n",
       "      <td>104280</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16080</th>\n",
       "      <td>29</td>\n",
       "      <td>Private</td>\n",
       "      <td>97254</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Amer-Indian-Eskimo</td>\n",
       "      <td>Male</td>\n",
       "      <td>4101</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16081</th>\n",
       "      <td>35</td>\n",
       "      <td>Private</td>\n",
       "      <td>186420</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16082</th>\n",
       "      <td>44</td>\n",
       "      <td>Private</td>\n",
       "      <td>112482</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16083</th>\n",
       "      <td>54</td>\n",
       "      <td>Private</td>\n",
       "      <td>317733</td>\n",
       "      <td>Doctorate</td>\n",
       "      <td>16</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>2472</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16084</th>\n",
       "      <td>56</td>\n",
       "      <td>Private</td>\n",
       "      <td>235136</td>\n",
       "      <td>7th-8th</td>\n",
       "      <td>4</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Dominican-Republic</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16085</th>\n",
       "      <td>29</td>\n",
       "      <td>Private</td>\n",
       "      <td>229729</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16086</th>\n",
       "      <td>66</td>\n",
       "      <td>Private</td>\n",
       "      <td>46677</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16087</th>\n",
       "      <td>48</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>277946</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16088</th>\n",
       "      <td>46</td>\n",
       "      <td>Private</td>\n",
       "      <td>263727</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16089</th>\n",
       "      <td>32</td>\n",
       "      <td>Private</td>\n",
       "      <td>74501</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16090</th>\n",
       "      <td>34</td>\n",
       "      <td>Private</td>\n",
       "      <td>143776</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16091</th>\n",
       "      <td>69</td>\n",
       "      <td>Private</td>\n",
       "      <td>179130</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16092</th>\n",
       "      <td>23</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>386568</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16093</th>\n",
       "      <td>22</td>\n",
       "      <td>Private</td>\n",
       "      <td>413110</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16094</th>\n",
       "      <td>45</td>\n",
       "      <td>Private</td>\n",
       "      <td>72618</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16095</th>\n",
       "      <td>45</td>\n",
       "      <td>Private</td>\n",
       "      <td>102288</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16096</th>\n",
       "      <td>47</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>321851</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16097</th>\n",
       "      <td>32</td>\n",
       "      <td>Private</td>\n",
       "      <td>180871</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16098</th>\n",
       "      <td>25</td>\n",
       "      <td>Private</td>\n",
       "      <td>124483</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>India</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16099</th>\n",
       "      <td>43</td>\n",
       "      <td>Private</td>\n",
       "      <td>72791</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>5178</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16100</th>\n",
       "      <td>47</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>263215</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>80</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16101</th>\n",
       "      <td>34</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>207668</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16102</th>\n",
       "      <td>30</td>\n",
       "      <td>Private</td>\n",
       "      <td>198953</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16103</th>\n",
       "      <td>48</td>\n",
       "      <td>Private</td>\n",
       "      <td>38819</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>75</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16104</th>\n",
       "      <td>43</td>\n",
       "      <td>Private</td>\n",
       "      <td>107306</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>Canada</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16105</th>\n",
       "      <td>20</td>\n",
       "      <td>Private</td>\n",
       "      <td>161962</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16106</th>\n",
       "      <td>83</td>\n",
       "      <td>Private</td>\n",
       "      <td>192305</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16107</th>\n",
       "      <td>42</td>\n",
       "      <td>Private</td>\n",
       "      <td>449925</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16108</th>\n",
       "      <td>42</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>131167</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16109</th>\n",
       "      <td>30</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>268482</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16110</th>\n",
       "      <td>34</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>103642</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1651</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16111</th>\n",
       "      <td>43</td>\n",
       "      <td>Private</td>\n",
       "      <td>201723</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16112</th>\n",
       "      <td>53</td>\n",
       "      <td>Private</td>\n",
       "      <td>186224</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16113</th>\n",
       "      <td>39</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>139703</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16114</th>\n",
       "      <td>33</td>\n",
       "      <td>Private</td>\n",
       "      <td>397995</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16115</th>\n",
       "      <td>52</td>\n",
       "      <td>Private</td>\n",
       "      <td>259323</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16116</th>\n",
       "      <td>18</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>427515</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16117</th>\n",
       "      <td>21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>187937</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>52</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16118</th>\n",
       "      <td>34</td>\n",
       "      <td>Private</td>\n",
       "      <td>177437</td>\n",
       "      <td>10th</td>\n",
       "      <td>6</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16119</th>\n",
       "      <td>32</td>\n",
       "      <td>Private</td>\n",
       "      <td>162442</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16120</th>\n",
       "      <td>48</td>\n",
       "      <td>Private</td>\n",
       "      <td>83407</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16121</th>\n",
       "      <td>61</td>\n",
       "      <td>NaN</td>\n",
       "      <td>265201</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16122</th>\n",
       "      <td>19</td>\n",
       "      <td>Private</td>\n",
       "      <td>109005</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16123</th>\n",
       "      <td>55</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>56915</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Amer-Indian-Eskimo</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16124</th>\n",
       "      <td>37</td>\n",
       "      <td>Private</td>\n",
       "      <td>210830</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16125</th>\n",
       "      <td>24</td>\n",
       "      <td>Private</td>\n",
       "      <td>194848</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16126</th>\n",
       "      <td>39</td>\n",
       "      <td>Private</td>\n",
       "      <td>109351</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16127</th>\n",
       "      <td>39</td>\n",
       "      <td>Private</td>\n",
       "      <td>105813</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>3908</td>\n",
       "      <td>0</td>\n",
       "      <td>72</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16128</th>\n",
       "      <td>32</td>\n",
       "      <td>Private</td>\n",
       "      <td>123430</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Farming-fishing</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16129</th>\n",
       "      <td>44</td>\n",
       "      <td>Private</td>\n",
       "      <td>105896</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16130</th>\n",
       "      <td>35</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>135020</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Germany</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16131</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>136077</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16132</th>\n",
       "      <td>18</td>\n",
       "      <td>Private</td>\n",
       "      <td>151463</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16133</th>\n",
       "      <td>43</td>\n",
       "      <td>Private</td>\n",
       "      <td>73333</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>2174</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16134</th>\n",
       "      <td>51</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>43705</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>54</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16135</th>\n",
       "      <td>26</td>\n",
       "      <td>Private</td>\n",
       "      <td>320465</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16136</th>\n",
       "      <td>23</td>\n",
       "      <td>Private</td>\n",
       "      <td>237811</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Trinadad&amp;Tobago</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16137</th>\n",
       "      <td>41</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>190910</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Farming-fishing</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16138</th>\n",
       "      <td>33</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>348326</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16139</th>\n",
       "      <td>41</td>\n",
       "      <td>Private</td>\n",
       "      <td>163287</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>62</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16140</th>\n",
       "      <td>31</td>\n",
       "      <td>Private</td>\n",
       "      <td>97723</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16141</th>\n",
       "      <td>56</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>160383</td>\n",
       "      <td>10th</td>\n",
       "      <td>6</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16142</th>\n",
       "      <td>39</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>263690</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>3137</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Trinadad&amp;Tobago</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16143</th>\n",
       "      <td>42</td>\n",
       "      <td>Private</td>\n",
       "      <td>278926</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16144</th>\n",
       "      <td>33</td>\n",
       "      <td>Private</td>\n",
       "      <td>189017</td>\n",
       "      <td>12th</td>\n",
       "      <td>8</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16145</th>\n",
       "      <td>22</td>\n",
       "      <td>Private</td>\n",
       "      <td>87546</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16146</th>\n",
       "      <td>23</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>145112</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16147</th>\n",
       "      <td>55</td>\n",
       "      <td>Private</td>\n",
       "      <td>107308</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16148</th>\n",
       "      <td>79</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>132668</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16149</th>\n",
       "      <td>47</td>\n",
       "      <td>Private</td>\n",
       "      <td>175600</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16150</th>\n",
       "      <td>51</td>\n",
       "      <td>Private</td>\n",
       "      <td>176608</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16151</th>\n",
       "      <td>37</td>\n",
       "      <td>Private</td>\n",
       "      <td>217054</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16152</th>\n",
       "      <td>47</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>244813</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16153</th>\n",
       "      <td>44</td>\n",
       "      <td>Private</td>\n",
       "      <td>77373</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16154</th>\n",
       "      <td>41</td>\n",
       "      <td>Private</td>\n",
       "      <td>135823</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16155</th>\n",
       "      <td>56</td>\n",
       "      <td>Private</td>\n",
       "      <td>174864</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16156</th>\n",
       "      <td>45</td>\n",
       "      <td>Private</td>\n",
       "      <td>121676</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16157</th>\n",
       "      <td>38</td>\n",
       "      <td>Private</td>\n",
       "      <td>108140</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16158</th>\n",
       "      <td>46</td>\n",
       "      <td>Private</td>\n",
       "      <td>185041</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1902</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16159</th>\n",
       "      <td>47</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>144579</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>90</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16160</th>\n",
       "      <td>26</td>\n",
       "      <td>Private</td>\n",
       "      <td>143280</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16161</th>\n",
       "      <td>41</td>\n",
       "      <td>Private</td>\n",
       "      <td>242804</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16162</th>\n",
       "      <td>48</td>\n",
       "      <td>Private</td>\n",
       "      <td>156926</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16163</th>\n",
       "      <td>55</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>103948</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16164</th>\n",
       "      <td>28</td>\n",
       "      <td>Private</td>\n",
       "      <td>249720</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16165</th>\n",
       "      <td>52</td>\n",
       "      <td>Private</td>\n",
       "      <td>203635</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1902</td>\n",
       "      <td>65</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16166</th>\n",
       "      <td>31</td>\n",
       "      <td>Private</td>\n",
       "      <td>136721</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16167</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>114865</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16168</th>\n",
       "      <td>23</td>\n",
       "      <td>Private</td>\n",
       "      <td>166517</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16169</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>96219</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16170</th>\n",
       "      <td>48</td>\n",
       "      <td>Private</td>\n",
       "      <td>236197</td>\n",
       "      <td>12th</td>\n",
       "      <td>8</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Guatemala</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16171</th>\n",
       "      <td>39</td>\n",
       "      <td>Private</td>\n",
       "      <td>357118</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>1974</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16172</th>\n",
       "      <td>25</td>\n",
       "      <td>Private</td>\n",
       "      <td>193787</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16173</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>607658</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16174</th>\n",
       "      <td>64</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>47298</td>\n",
       "      <td>Doctorate</td>\n",
       "      <td>16</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Protective-serv</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16175</th>\n",
       "      <td>55</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>258121</td>\n",
       "      <td>Prof-school</td>\n",
       "      <td>15</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1902</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16176</th>\n",
       "      <td>46</td>\n",
       "      <td>Private</td>\n",
       "      <td>411037</td>\n",
       "      <td>10th</td>\n",
       "      <td>6</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16177</th>\n",
       "      <td>23</td>\n",
       "      <td>Private</td>\n",
       "      <td>228724</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16178</th>\n",
       "      <td>28</td>\n",
       "      <td>Private</td>\n",
       "      <td>179008</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16179</th>\n",
       "      <td>37</td>\n",
       "      <td>Private</td>\n",
       "      <td>422933</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16180</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>32452</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16181</th>\n",
       "      <td>35</td>\n",
       "      <td>Private</td>\n",
       "      <td>54363</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16182</th>\n",
       "      <td>35</td>\n",
       "      <td>Private</td>\n",
       "      <td>113397</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Japan</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16183</th>\n",
       "      <td>45</td>\n",
       "      <td>Private</td>\n",
       "      <td>159080</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16184</th>\n",
       "      <td>59</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>354948</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>3103</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16185</th>\n",
       "      <td>31</td>\n",
       "      <td>Private</td>\n",
       "      <td>162572</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>15024</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16186</th>\n",
       "      <td>35</td>\n",
       "      <td>Private</td>\n",
       "      <td>108140</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16187</th>\n",
       "      <td>58</td>\n",
       "      <td>Private</td>\n",
       "      <td>126104</td>\n",
       "      <td>10th</td>\n",
       "      <td>6</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16188</th>\n",
       "      <td>41</td>\n",
       "      <td>Private</td>\n",
       "      <td>145522</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16189</th>\n",
       "      <td>20</td>\n",
       "      <td>Private</td>\n",
       "      <td>61777</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16190</th>\n",
       "      <td>39</td>\n",
       "      <td>Private</td>\n",
       "      <td>139057</td>\n",
       "      <td>Prof-school</td>\n",
       "      <td>15</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>India</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16191</th>\n",
       "      <td>31</td>\n",
       "      <td>Private</td>\n",
       "      <td>113129</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16192</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>202062</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16193</th>\n",
       "      <td>34</td>\n",
       "      <td>Private</td>\n",
       "      <td>31341</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16194</th>\n",
       "      <td>32</td>\n",
       "      <td>Private</td>\n",
       "      <td>196125</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16195</th>\n",
       "      <td>33</td>\n",
       "      <td>Private</td>\n",
       "      <td>44559</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16196</th>\n",
       "      <td>33</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>202153</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>2829</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16197</th>\n",
       "      <td>35</td>\n",
       "      <td>Private</td>\n",
       "      <td>238980</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16198</th>\n",
       "      <td>56</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>156873</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16199</th>\n",
       "      <td>20</td>\n",
       "      <td>Private</td>\n",
       "      <td>32805</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16200</th>\n",
       "      <td>68</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>273088</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16201</th>\n",
       "      <td>43</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>241055</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16202</th>\n",
       "      <td>25</td>\n",
       "      <td>Private</td>\n",
       "      <td>157028</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16203</th>\n",
       "      <td>35</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>304252</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Vietnam</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16204</th>\n",
       "      <td>57</td>\n",
       "      <td>Private</td>\n",
       "      <td>106910</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Outlying-US(Guam-USVI-etc)</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16205</th>\n",
       "      <td>57</td>\n",
       "      <td>Private</td>\n",
       "      <td>127728</td>\n",
       "      <td>7th-8th</td>\n",
       "      <td>4</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16206</th>\n",
       "      <td>37</td>\n",
       "      <td>State-gov</td>\n",
       "      <td>178876</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Protective-serv</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Amer-Indian-Eskimo</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16207</th>\n",
       "      <td>18</td>\n",
       "      <td>Private</td>\n",
       "      <td>78181</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16208</th>\n",
       "      <td>21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>212661</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16209</th>\n",
       "      <td>29</td>\n",
       "      <td>Private</td>\n",
       "      <td>288229</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Wife</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Female</td>\n",
       "      <td>4386</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16210</th>\n",
       "      <td>24</td>\n",
       "      <td>Private</td>\n",
       "      <td>205883</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16211</th>\n",
       "      <td>36</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>268205</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>52</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16212</th>\n",
       "      <td>23</td>\n",
       "      <td>Private</td>\n",
       "      <td>113735</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16213</th>\n",
       "      <td>36</td>\n",
       "      <td>Private</td>\n",
       "      <td>390243</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16214</th>\n",
       "      <td>52</td>\n",
       "      <td>Private</td>\n",
       "      <td>137984</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16215</th>\n",
       "      <td>41</td>\n",
       "      <td>Private</td>\n",
       "      <td>160785</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16216</th>\n",
       "      <td>18</td>\n",
       "      <td>Private</td>\n",
       "      <td>86150</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16217</th>\n",
       "      <td>32</td>\n",
       "      <td>Private</td>\n",
       "      <td>244268</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1672</td>\n",
       "      <td>48</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16218</th>\n",
       "      <td>34</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>177828</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16219</th>\n",
       "      <td>29</td>\n",
       "      <td>Private</td>\n",
       "      <td>337953</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16220</th>\n",
       "      <td>56</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>254711</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16221</th>\n",
       "      <td>60</td>\n",
       "      <td>Private</td>\n",
       "      <td>127084</td>\n",
       "      <td>7th-8th</td>\n",
       "      <td>4</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16222</th>\n",
       "      <td>19</td>\n",
       "      <td>Private</td>\n",
       "      <td>156618</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>1602</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16223</th>\n",
       "      <td>30</td>\n",
       "      <td>Private</td>\n",
       "      <td>201697</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16224</th>\n",
       "      <td>50</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>187830</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>27828</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16225</th>\n",
       "      <td>52</td>\n",
       "      <td>Private</td>\n",
       "      <td>240612</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Peru</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16226</th>\n",
       "      <td>66</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>190160</td>\n",
       "      <td>Prof-school</td>\n",
       "      <td>15</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16227</th>\n",
       "      <td>28</td>\n",
       "      <td>Private</td>\n",
       "      <td>109001</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16228</th>\n",
       "      <td>35</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>297322</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16229</th>\n",
       "      <td>29</td>\n",
       "      <td>Private</td>\n",
       "      <td>335015</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16230</th>\n",
       "      <td>50</td>\n",
       "      <td>Private</td>\n",
       "      <td>174964</td>\n",
       "      <td>7th-8th</td>\n",
       "      <td>4</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16231</th>\n",
       "      <td>34</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>408813</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16232</th>\n",
       "      <td>37</td>\n",
       "      <td>Private</td>\n",
       "      <td>115332</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Transport-moving</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16233</th>\n",
       "      <td>29</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>170482</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Protective-serv</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>2057</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16234</th>\n",
       "      <td>34</td>\n",
       "      <td>Private</td>\n",
       "      <td>113688</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16235</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>133770</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Male</td>\n",
       "      <td>2202</td>\n",
       "      <td>0</td>\n",
       "      <td>52</td>\n",
       "      <td>Philippines</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16236</th>\n",
       "      <td>57</td>\n",
       "      <td>Private</td>\n",
       "      <td>161964</td>\n",
       "      <td>12th</td>\n",
       "      <td>8</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16237</th>\n",
       "      <td>30</td>\n",
       "      <td>Private</td>\n",
       "      <td>34572</td>\n",
       "      <td>Prof-school</td>\n",
       "      <td>15</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>80</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16238</th>\n",
       "      <td>21</td>\n",
       "      <td>Private</td>\n",
       "      <td>198259</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16239</th>\n",
       "      <td>73</td>\n",
       "      <td>NaN</td>\n",
       "      <td>144872</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>Canada</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16240</th>\n",
       "      <td>57</td>\n",
       "      <td>Private</td>\n",
       "      <td>161944</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>7688</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16241</th>\n",
       "      <td>51</td>\n",
       "      <td>Private</td>\n",
       "      <td>29887</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1590</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16242</th>\n",
       "      <td>37</td>\n",
       "      <td>Federal-gov</td>\n",
       "      <td>238980</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16243</th>\n",
       "      <td>42</td>\n",
       "      <td>Private</td>\n",
       "      <td>275677</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16244</th>\n",
       "      <td>32</td>\n",
       "      <td>Private</td>\n",
       "      <td>24529</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>5178</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16245</th>\n",
       "      <td>51</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>311631</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16246</th>\n",
       "      <td>19</td>\n",
       "      <td>Private</td>\n",
       "      <td>105460</td>\n",
       "      <td>9th</td>\n",
       "      <td>5</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16247</th>\n",
       "      <td>24</td>\n",
       "      <td>Private</td>\n",
       "      <td>374763</td>\n",
       "      <td>11th</td>\n",
       "      <td>7</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16248</th>\n",
       "      <td>25</td>\n",
       "      <td>Private</td>\n",
       "      <td>242136</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16249</th>\n",
       "      <td>31</td>\n",
       "      <td>Private</td>\n",
       "      <td>112115</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16250</th>\n",
       "      <td>49</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>77132</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>Canada</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16251</th>\n",
       "      <td>81</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26711</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>2936</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16252</th>\n",
       "      <td>60</td>\n",
       "      <td>Private</td>\n",
       "      <td>117909</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>7688</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16253</th>\n",
       "      <td>39</td>\n",
       "      <td>Private</td>\n",
       "      <td>229647</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Tech-support</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>1669</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16254</th>\n",
       "      <td>38</td>\n",
       "      <td>Private</td>\n",
       "      <td>149347</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16255</th>\n",
       "      <td>43</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>23157</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>1902</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16256</th>\n",
       "      <td>23</td>\n",
       "      <td>Private</td>\n",
       "      <td>93977</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16257</th>\n",
       "      <td>73</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>159691</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16258</th>\n",
       "      <td>35</td>\n",
       "      <td>Private</td>\n",
       "      <td>176967</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Protective-serv</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16259</th>\n",
       "      <td>66</td>\n",
       "      <td>Private</td>\n",
       "      <td>344436</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16260</th>\n",
       "      <td>27</td>\n",
       "      <td>Private</td>\n",
       "      <td>430340</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16261</th>\n",
       "      <td>40</td>\n",
       "      <td>Private</td>\n",
       "      <td>202168</td>\n",
       "      <td>Prof-school</td>\n",
       "      <td>15</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>15024</td>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16262</th>\n",
       "      <td>51</td>\n",
       "      <td>Private</td>\n",
       "      <td>82720</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16263</th>\n",
       "      <td>22</td>\n",
       "      <td>Private</td>\n",
       "      <td>269623</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16264</th>\n",
       "      <td>64</td>\n",
       "      <td>Self-emp-not-inc</td>\n",
       "      <td>136405</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>Farming-fishing</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16265</th>\n",
       "      <td>50</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>139347</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Wife</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16266</th>\n",
       "      <td>55</td>\n",
       "      <td>Private</td>\n",
       "      <td>224655</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Priv-house-serv</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16267</th>\n",
       "      <td>38</td>\n",
       "      <td>Private</td>\n",
       "      <td>247547</td>\n",
       "      <td>Assoc-voc</td>\n",
       "      <td>11</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Black</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16268</th>\n",
       "      <td>58</td>\n",
       "      <td>Private</td>\n",
       "      <td>292710</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16269</th>\n",
       "      <td>32</td>\n",
       "      <td>Private</td>\n",
       "      <td>173449</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Handlers-cleaners</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16270</th>\n",
       "      <td>48</td>\n",
       "      <td>Private</td>\n",
       "      <td>285570</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16271</th>\n",
       "      <td>61</td>\n",
       "      <td>Private</td>\n",
       "      <td>89686</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Sales</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16272</th>\n",
       "      <td>31</td>\n",
       "      <td>Private</td>\n",
       "      <td>440129</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Craft-repair</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16273</th>\n",
       "      <td>25</td>\n",
       "      <td>Private</td>\n",
       "      <td>350977</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16274</th>\n",
       "      <td>48</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>349230</td>\n",
       "      <td>Masters</td>\n",
       "      <td>14</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16275</th>\n",
       "      <td>33</td>\n",
       "      <td>Private</td>\n",
       "      <td>245211</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16276</th>\n",
       "      <td>39</td>\n",
       "      <td>Private</td>\n",
       "      <td>215419</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16277</th>\n",
       "      <td>64</td>\n",
       "      <td>NaN</td>\n",
       "      <td>321403</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other-relative</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16278</th>\n",
       "      <td>38</td>\n",
       "      <td>Private</td>\n",
       "      <td>374983</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16279</th>\n",
       "      <td>44</td>\n",
       "      <td>Private</td>\n",
       "      <td>83891</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Adm-clerical</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>Asian-Pac-Islander</td>\n",
       "      <td>Male</td>\n",
       "      <td>5455</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16280</th>\n",
       "      <td>35</td>\n",
       "      <td>Self-emp-inc</td>\n",
       "      <td>182148</td>\n",
       "      <td>Bachelors</td>\n",
       "      <td>13</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&gt;50K.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>48842 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       age          workclass   fnlwgt      education   education-num  \\\n",
       "0       39          State-gov    77516      Bachelors              13   \n",
       "1       50   Self-emp-not-inc    83311      Bachelors              13   \n",
       "2       38            Private   215646        HS-grad               9   \n",
       "3       53            Private   234721           11th               7   \n",
       "4       28            Private   338409      Bachelors              13   \n",
       "5       37            Private   284582        Masters              14   \n",
       "6       49            Private   160187            9th               5   \n",
       "7       52   Self-emp-not-inc   209642        HS-grad               9   \n",
       "8       31            Private    45781        Masters              14   \n",
       "9       42            Private   159449      Bachelors              13   \n",
       "10      37            Private   280464   Some-college              10   \n",
       "11      30          State-gov   141297      Bachelors              13   \n",
       "12      23            Private   122272      Bachelors              13   \n",
       "13      32            Private   205019     Assoc-acdm              12   \n",
       "14      40            Private   121772      Assoc-voc              11   \n",
       "15      34            Private   245487        7th-8th               4   \n",
       "16      25   Self-emp-not-inc   176756        HS-grad               9   \n",
       "17      32            Private   186824        HS-grad               9   \n",
       "18      38            Private    28887           11th               7   \n",
       "19      43   Self-emp-not-inc   292175        Masters              14   \n",
       "20      40            Private   193524      Doctorate              16   \n",
       "21      54            Private   302146        HS-grad               9   \n",
       "22      35        Federal-gov    76845            9th               5   \n",
       "23      43            Private   117037           11th               7   \n",
       "24      59            Private   109015        HS-grad               9   \n",
       "25      56          Local-gov   216851      Bachelors              13   \n",
       "26      19            Private   168294        HS-grad               9   \n",
       "27      54                NaN   180211   Some-college              10   \n",
       "28      39            Private   367260        HS-grad               9   \n",
       "29      49            Private   193366        HS-grad               9   \n",
       "30      23          Local-gov   190709     Assoc-acdm              12   \n",
       "31      20            Private   266015   Some-college              10   \n",
       "32      45            Private   386940      Bachelors              13   \n",
       "33      30        Federal-gov    59951   Some-college              10   \n",
       "34      22          State-gov   311512   Some-college              10   \n",
       "35      48            Private   242406           11th               7   \n",
       "36      21            Private   197200   Some-college              10   \n",
       "37      19            Private   544091        HS-grad               9   \n",
       "38      31            Private    84154   Some-college              10   \n",
       "39      48   Self-emp-not-inc   265477     Assoc-acdm              12   \n",
       "40      31            Private   507875            9th               5   \n",
       "41      53   Self-emp-not-inc    88506      Bachelors              13   \n",
       "42      24            Private   172987      Bachelors              13   \n",
       "43      49            Private    94638        HS-grad               9   \n",
       "44      25            Private   289980        HS-grad               9   \n",
       "45      57        Federal-gov   337895      Bachelors              13   \n",
       "46      53            Private   144361        HS-grad               9   \n",
       "47      44            Private   128354        Masters              14   \n",
       "48      41          State-gov   101603      Assoc-voc              11   \n",
       "49      29            Private   271466      Assoc-voc              11   \n",
       "50      25            Private    32275   Some-college              10   \n",
       "51      18            Private   226956        HS-grad               9   \n",
       "52      47            Private    51835    Prof-school              15   \n",
       "53      50        Federal-gov   251585      Bachelors              13   \n",
       "54      47       Self-emp-inc   109832        HS-grad               9   \n",
       "55      43            Private   237993   Some-college              10   \n",
       "56      46            Private   216666        5th-6th               3   \n",
       "57      35            Private    56352      Assoc-voc              11   \n",
       "58      41            Private   147372        HS-grad               9   \n",
       "59      30            Private   188146        HS-grad               9   \n",
       "60      30            Private    59496      Bachelors              13   \n",
       "61      32                NaN   293936        7th-8th               4   \n",
       "62      48            Private   149640        HS-grad               9   \n",
       "63      42            Private   116632      Doctorate              16   \n",
       "64      29            Private   105598   Some-college              10   \n",
       "65      36            Private   155537        HS-grad               9   \n",
       "66      28            Private   183175   Some-college              10   \n",
       "67      53            Private   169846        HS-grad               9   \n",
       "68      49       Self-emp-inc   191681   Some-college              10   \n",
       "69      25                NaN   200681   Some-college              10   \n",
       "70      19            Private   101509   Some-college              10   \n",
       "71      31            Private   309974      Bachelors              13   \n",
       "72      29   Self-emp-not-inc   162298      Bachelors              13   \n",
       "73      23            Private   211678   Some-college              10   \n",
       "74      79            Private   124744   Some-college              10   \n",
       "75      27            Private   213921        HS-grad               9   \n",
       "76      40            Private    32214     Assoc-acdm              12   \n",
       "77      67                NaN   212759           10th               6   \n",
       "78      18            Private   309634           11th               7   \n",
       "79      31          Local-gov   125927        7th-8th               4   \n",
       "80      18            Private   446839        HS-grad               9   \n",
       "81      52            Private   276515      Bachelors              13   \n",
       "82      46            Private    51618        HS-grad               9   \n",
       "83      59            Private   159937        HS-grad               9   \n",
       "84      44            Private   343591        HS-grad               9   \n",
       "85      53            Private   346253        HS-grad               9   \n",
       "86      49          Local-gov   268234        HS-grad               9   \n",
       "87      33            Private   202051        Masters              14   \n",
       "88      30            Private    54334            9th               5   \n",
       "89      43        Federal-gov   410867      Doctorate              16   \n",
       "90      57            Private   249977      Assoc-voc              11   \n",
       "91      37            Private   286730   Some-college              10   \n",
       "92      28            Private   212563   Some-college              10   \n",
       "93      30            Private   117747        HS-grad               9   \n",
       "94      34          Local-gov   226296      Bachelors              13   \n",
       "95      29          Local-gov   115585   Some-college              10   \n",
       "96      48   Self-emp-not-inc   191277      Doctorate              16   \n",
       "97      37            Private   202683   Some-college              10   \n",
       "98      48            Private   171095     Assoc-acdm              12   \n",
       "99      32        Federal-gov   249409        HS-grad               9   \n",
       "100     76            Private   124191        Masters              14   \n",
       "101     44            Private   198282      Bachelors              13   \n",
       "102     47   Self-emp-not-inc   149116        Masters              14   \n",
       "103     20            Private   188300   Some-college              10   \n",
       "104     29            Private   103432        HS-grad               9   \n",
       "105     32       Self-emp-inc   317660        HS-grad               9   \n",
       "106     17                NaN   304873           10th               6   \n",
       "107     30            Private   194901           11th               7   \n",
       "108     31          Local-gov   189265        HS-grad               9   \n",
       "109     42            Private   124692        HS-grad               9   \n",
       "110     24            Private   432376      Bachelors              13   \n",
       "111     38            Private    65324    Prof-school              15   \n",
       "112     56   Self-emp-not-inc   335605        HS-grad               9   \n",
       "113     28            Private   377869   Some-college              10   \n",
       "114     36            Private   102864        HS-grad               9   \n",
       "115     53            Private    95647            9th               5   \n",
       "116     56       Self-emp-inc   303090   Some-college              10   \n",
       "117     49          Local-gov   197371      Assoc-voc              11   \n",
       "118     55            Private   247552   Some-college              10   \n",
       "119     22            Private   102632        HS-grad               9   \n",
       "120     21            Private   199915   Some-college              10   \n",
       "121     40            Private   118853      Bachelors              13   \n",
       "122     30            Private    77143      Bachelors              13   \n",
       "123     29          State-gov   267989      Bachelors              13   \n",
       "124     19            Private   301606   Some-college              10   \n",
       "125     47            Private   287828      Bachelors              13   \n",
       "126     20            Private   111697   Some-college              10   \n",
       "127     31            Private   114937     Assoc-acdm              12   \n",
       "128     35                NaN   129305        HS-grad               9   \n",
       "129     39            Private   365739   Some-college              10   \n",
       "130     28            Private    69621     Assoc-acdm              12   \n",
       "131     24            Private    43323        HS-grad               9   \n",
       "132     38   Self-emp-not-inc   120985        HS-grad               9   \n",
       "133     37            Private   254202      Bachelors              13   \n",
       "134     46            Private   146195     Assoc-acdm              12   \n",
       "135     38        Federal-gov   125933        Masters              14   \n",
       "136     43   Self-emp-not-inc    56920        HS-grad               9   \n",
       "137     27            Private   163127      Assoc-voc              11   \n",
       "138     20            Private    34310   Some-college              10   \n",
       "139     49            Private    81973   Some-college              10   \n",
       "140     61       Self-emp-inc    66614        HS-grad               9   \n",
       "141     27            Private   232782   Some-college              10   \n",
       "142     19            Private   316868   Some-college              10   \n",
       "143     45            Private   196584      Assoc-voc              11   \n",
       "144     70            Private   105376   Some-college              10   \n",
       "145     31            Private   185814        HS-grad               9   \n",
       "146     22            Private   175374   Some-college              10   \n",
       "147     36            Private   108293        HS-grad               9   \n",
       "148     64            Private   181232           11th               7   \n",
       "149     43                NaN   174662   Some-college              10   \n",
       "150     47          Local-gov   186009   Some-college              10   \n",
       "151     34            Private   198183        HS-grad               9   \n",
       "152     33            Private   163003      Bachelors              13   \n",
       "153     21            Private   296158        HS-grad               9   \n",
       "154     52                NaN   252903        HS-grad               9   \n",
       "155     48            Private   187715        HS-grad               9   \n",
       "156     23            Private   214542      Bachelors              13   \n",
       "157     71   Self-emp-not-inc   494223   Some-college              10   \n",
       "158     29            Private   191535        HS-grad               9   \n",
       "159     42            Private   228456      Bachelors              13   \n",
       "160     68                NaN    38317        1st-4th               2   \n",
       "161     25            Private   252752        HS-grad               9   \n",
       "162     44       Self-emp-inc    78374        Masters              14   \n",
       "163     28            Private    88419        HS-grad               9   \n",
       "164     45   Self-emp-not-inc   201080        Masters              14   \n",
       "165     36            Private   207157   Some-college              10   \n",
       "166     39        Federal-gov   235485     Assoc-acdm              12   \n",
       "167     46          State-gov   102628        Masters              14   \n",
       "168     18            Private    25828           11th               7   \n",
       "169     66          Local-gov    54826      Assoc-voc              11   \n",
       "170     27            Private   124953        HS-grad               9   \n",
       "171     28          State-gov   175325        HS-grad               9   \n",
       "172     51            Private    96062   Some-college              10   \n",
       "173     27            Private   428030      Bachelors              13   \n",
       "174     28          State-gov   149624      Bachelors              13   \n",
       "175     27            Private   253814        HS-grad               9   \n",
       "176     21            Private   312956        HS-grad               9   \n",
       "177     34            Private   483777        HS-grad               9   \n",
       "178     18            Private   183930        HS-grad               9   \n",
       "179     33            Private    37274      Bachelors              13   \n",
       "180     44          Local-gov   181344   Some-college              10   \n",
       "181     43            Private   114580   Some-college              10   \n",
       "182     30            Private   633742   Some-college              10   \n",
       "183     40            Private   286370        7th-8th               4   \n",
       "184     37        Federal-gov    29054   Some-college              10   \n",
       "185     34            Private   304030        HS-grad               9   \n",
       "186     41   Self-emp-not-inc   143129      Bachelors              13   \n",
       "187     53                NaN   135105      Bachelors              13   \n",
       "188     31            Private    99928        Masters              14   \n",
       "189     58          State-gov   109567      Doctorate              16   \n",
       "190     38            Private   155222   Some-college              10   \n",
       "191     24            Private   159567   Some-college              10   \n",
       "192     41          Local-gov   523910      Bachelors              13   \n",
       "193     47            Private   120939   Some-college              10   \n",
       "194     41        Federal-gov   130760      Bachelors              13   \n",
       "195     23            Private   197387        5th-6th               3   \n",
       "196     36            Private    99374   Some-college              10   \n",
       "197     40        Federal-gov    56795        Masters              14   \n",
       "198     35            Private   138992        Masters              14   \n",
       "199     24   Self-emp-not-inc    32921        HS-grad               9   \n",
       "200     26            Private   397317        Masters              14   \n",
       "201     19                NaN   170653        HS-grad               9   \n",
       "202     51            Private   259323      Bachelors              13   \n",
       "203     42          Local-gov   254817   Some-college              10   \n",
       "204     37          State-gov    48211        HS-grad               9   \n",
       "205     18            Private   140164           11th               7   \n",
       "206     36            Private   128757      Bachelors              13   \n",
       "207     35            Private    36270        HS-grad               9   \n",
       "208     58       Self-emp-inc   210563        HS-grad               9   \n",
       "209     17            Private    65368           11th               7   \n",
       "210     44          Local-gov   160943        HS-grad               9   \n",
       "211     37            Private   208358        HS-grad               9   \n",
       "212     35            Private   153790   Some-college              10   \n",
       "213     60            Private    85815        HS-grad               9   \n",
       "214     54       Self-emp-inc   125417        7th-8th               4   \n",
       "215     37            Private   635913      Bachelors              13   \n",
       "216     50            Private   313321     Assoc-acdm              12   \n",
       "217     38            Private   182609      Bachelors              13   \n",
       "218     45            Private   109434      Bachelors              13   \n",
       "219     25            Private   255004           10th               6   \n",
       "220     31            Private   197860   Some-college              10   \n",
       "221     64                NaN   187656        1st-4th               2   \n",
       "222     90            Private    51744        HS-grad               9   \n",
       "223     54            Private   176681        HS-grad               9   \n",
       "224     53          Local-gov   140359      Preschool               1   \n",
       "225     18            Private   243313        HS-grad               9   \n",
       "226     60                NaN    24215           10th               6   \n",
       "227     66   Self-emp-not-inc   167687        HS-grad               9   \n",
       "228     75            Private   314209      Assoc-voc              11   \n",
       "229     65            Private   176796        HS-grad               9   \n",
       "230     35            Private   538583           11th               7   \n",
       "231     41            Private   130408        HS-grad               9   \n",
       "232     25            Private   159732   Some-college              10   \n",
       "233     33            Private   110978   Some-college              10   \n",
       "234     28            Private    76714    Prof-school              15   \n",
       "235     59          State-gov   268700        HS-grad               9   \n",
       "236     40          State-gov   170525   Some-college              10   \n",
       "237     41            Private   180138      Bachelors              13   \n",
       "238     38          Local-gov   115076        Masters              14   \n",
       "239     23            Private   115458        HS-grad               9   \n",
       "240     40            Private   347890      Bachelors              13   \n",
       "241     41   Self-emp-not-inc   196001        HS-grad               9   \n",
       "242     24          State-gov   273905     Assoc-acdm              12   \n",
       "243     20                NaN   119156   Some-college              10   \n",
       "244     38            Private   179488   Some-college              10   \n",
       "245     56            Private   203580        HS-grad               9   \n",
       "246     58            Private   236596        HS-grad               9   \n",
       "247     32            Private   183916        HS-grad               9   \n",
       "248     40            Private   207578     Assoc-acdm              12   \n",
       "249     45            Private   153141        HS-grad               9   \n",
       "...    ...                ...      ...            ...             ...   \n",
       "16031   30            Private   235847      Bachelors              13   \n",
       "16032   56                NaN   124319        Masters              14   \n",
       "16033   27            Private   193807        HS-grad               9   \n",
       "16034   69   Self-emp-not-inc   215926        7th-8th               4   \n",
       "16035   19                NaN   455665        HS-grad               9   \n",
       "16036   36            Private    36423   Some-college              10   \n",
       "16037   42            Private    32878      Bachelors              13   \n",
       "16038   25            Private    96862        HS-grad               9   \n",
       "16039   17            Private   187879            9th               5   \n",
       "16040   40          Local-gov    36296      Bachelors              13   \n",
       "16041   40            Private    75615        HS-grad               9   \n",
       "16042   17            Private   168807           10th               6   \n",
       "16043   24          State-gov   161783      Bachelors              13   \n",
       "16044   40          State-gov    13492        HS-grad               9   \n",
       "16045   65            Private   119769        HS-grad               9   \n",
       "16046   38            Private   313914      Bachelors              13   \n",
       "16047   33            Private   172584        HS-grad               9   \n",
       "16048   28            Private   112425      Bachelors              13   \n",
       "16049   22            Private   157783        HS-grad               9   \n",
       "16050   34            Private   356882        HS-grad               9   \n",
       "16051   61            Private   156852      Assoc-voc              11   \n",
       "16052   63   Self-emp-not-inc   175177    Prof-school              15   \n",
       "16053   28            Private   425127            9th               5   \n",
       "16054   30          Local-gov    99761      Assoc-voc              11   \n",
       "16055   36            Private   272950      Bachelors              13   \n",
       "16056   43   Self-emp-not-inc   174295           11th               7   \n",
       "16057   24          Local-gov   157678        HS-grad               9   \n",
       "16058   52            Private   186224        HS-grad               9   \n",
       "16059   17            Private   142587           11th               7   \n",
       "16060   46            Private   131091        Masters              14   \n",
       "16061   43   Self-emp-not-inc    71269      Bachelors              13   \n",
       "16062   54            Private   311551   Some-college              10   \n",
       "16063   22       Self-emp-inc   171041      Bachelors              13   \n",
       "16064   42   Self-emp-not-inc   140915        HS-grad               9   \n",
       "16065   46            Private    41223   Some-college              10   \n",
       "16066   46       Self-emp-inc   292569      Bachelors              13   \n",
       "16067   44            Private   132921     Assoc-acdm              12   \n",
       "16068   59       Self-emp-inc   177271    Prof-school              15   \n",
       "16069   58       Self-emp-inc   314482        HS-grad               9   \n",
       "16070   36            Private   310531           10th               6   \n",
       "16071   29            Private   145490           11th               7   \n",
       "16072   61            Private   181200        HS-grad               9   \n",
       "16073   29            Private   152951    Prof-school              15   \n",
       "16074   40            Private    85668        7th-8th               4   \n",
       "16075   30            Private   316606      Bachelors              13   \n",
       "16076   38            Private   220694        Masters              14   \n",
       "16077   24            Private   408585        7th-8th               4   \n",
       "16078   42        Federal-gov    36699   Some-college              10   \n",
       "16079   50            Private   104280   Some-college              10   \n",
       "16080   29            Private    97254           11th               7   \n",
       "16081   35            Private   186420      Bachelors              13   \n",
       "16082   44            Private   112482        Masters              14   \n",
       "16083   54            Private   317733      Doctorate              16   \n",
       "16084   56            Private   235136        7th-8th               4   \n",
       "16085   29            Private   229729      Bachelors              13   \n",
       "16086   66            Private    46677   Some-college              10   \n",
       "16087   48        Federal-gov   277946   Some-college              10   \n",
       "16088   46            Private   263727   Some-college              10   \n",
       "16089   32            Private    74501        Masters              14   \n",
       "16090   34            Private   143776        Masters              14   \n",
       "16091   69            Private   179130        HS-grad               9   \n",
       "16092   23          State-gov   386568   Some-college              10   \n",
       "16093   22            Private   413110        HS-grad               9   \n",
       "16094   45            Private    72618      Assoc-voc              11   \n",
       "16095   45            Private   102288   Some-college              10   \n",
       "16096   47   Self-emp-not-inc   321851      Assoc-voc              11   \n",
       "16097   32            Private   180871           11th               7   \n",
       "16098   25            Private   124483      Bachelors              13   \n",
       "16099   43            Private    72791   Some-college              10   \n",
       "16100   47          State-gov   263215      Bachelors              13   \n",
       "16101   34          Local-gov   207668        Masters              14   \n",
       "16102   30            Private   198953      Bachelors              13   \n",
       "16103   48            Private    38819        Masters              14   \n",
       "16104   43            Private   107306   Some-college              10   \n",
       "16105   20            Private   161962   Some-college              10   \n",
       "16106   83            Private   192305   Some-college              10   \n",
       "16107   42            Private   449925      Bachelors              13   \n",
       "16108   42          Local-gov   131167        Masters              14   \n",
       "16109   30          Local-gov   268482   Some-college              10   \n",
       "16110   34          State-gov   103642        HS-grad               9   \n",
       "16111   43            Private   201723        HS-grad               9   \n",
       "16112   53            Private   186224      Assoc-voc              11   \n",
       "16113   39   Self-emp-not-inc   139703   Some-college              10   \n",
       "16114   33            Private   397995      Bachelors              13   \n",
       "16115   52            Private   259323        HS-grad               9   \n",
       "16116   18          State-gov   427515        HS-grad               9   \n",
       "16117   21                NaN   187937   Some-college              10   \n",
       "16118   34            Private   177437           10th               6   \n",
       "16119   32            Private   162442      Bachelors              13   \n",
       "16120   48            Private    83407        Masters              14   \n",
       "16121   61                NaN   265201   Some-college              10   \n",
       "16122   19            Private   109005   Some-college              10   \n",
       "16123   55          Local-gov    56915        HS-grad               9   \n",
       "16124   37            Private   210830      Assoc-voc              11   \n",
       "16125   24            Private   194848      Bachelors              13   \n",
       "16126   39            Private   109351      Assoc-voc              11   \n",
       "16127   39            Private   105813        HS-grad               9   \n",
       "16128   32            Private   123430        HS-grad               9   \n",
       "16129   44            Private   105896      Bachelors              13   \n",
       "16130   35   Self-emp-not-inc   135020      Bachelors              13   \n",
       "16131   27            Private   136077        HS-grad               9   \n",
       "16132   18            Private   151463           11th               7   \n",
       "16133   43            Private    73333   Some-college              10   \n",
       "16134   51          Local-gov    43705        Masters              14   \n",
       "16135   26            Private   320465        HS-grad               9   \n",
       "16136   23            Private   237811   Some-college              10   \n",
       "16137   41          State-gov   190910        HS-grad               9   \n",
       "16138   33       Self-emp-inc   348326        HS-grad               9   \n",
       "16139   41            Private   163287        HS-grad               9   \n",
       "16140   31            Private    97723     Assoc-acdm              12   \n",
       "16141   56          State-gov   160383           10th               6   \n",
       "16142   39        Federal-gov   263690        Masters              14   \n",
       "16143   42            Private   278926   Some-college              10   \n",
       "16144   33            Private   189017           12th               8   \n",
       "16145   22            Private    87546        HS-grad               9   \n",
       "16146   23          Local-gov   145112      Bachelors              13   \n",
       "16147   55            Private   107308      Assoc-voc              11   \n",
       "16148   79          Local-gov   132668        HS-grad               9   \n",
       "16149   47            Private   175600        HS-grad               9   \n",
       "16150   51            Private   176608        HS-grad               9   \n",
       "16151   37            Private   217054        HS-grad               9   \n",
       "16152   47          Local-gov   244813        HS-grad               9   \n",
       "16153   44            Private    77373      Bachelors              13   \n",
       "16154   41            Private   135823      Assoc-voc              11   \n",
       "16155   56            Private   174864      Bachelors              13   \n",
       "16156   45            Private   121676   Some-college              10   \n",
       "16157   38            Private   108140        HS-grad               9   \n",
       "16158   46            Private   185041   Some-college              10   \n",
       "16159   47       Self-emp-inc   144579      Bachelors              13   \n",
       "16160   26            Private   143280        HS-grad               9   \n",
       "16161   41            Private   242804        HS-grad               9   \n",
       "16162   48            Private   156926      Bachelors              13   \n",
       "16163   55       Self-emp-inc   103948      Assoc-voc              11   \n",
       "16164   28            Private   249720   Some-college              10   \n",
       "16165   52            Private   203635      Bachelors              13   \n",
       "16166   31            Private   136721        HS-grad               9   \n",
       "16167   27            Private   114865        HS-grad               9   \n",
       "16168   23            Private   166517        HS-grad               9   \n",
       "16169   27            Private    96219      Bachelors              13   \n",
       "16170   48            Private   236197           12th               8   \n",
       "16171   39            Private   357118      Bachelors              13   \n",
       "16172   25            Private   193787      Bachelors              13   \n",
       "16173   27            Private   607658      Bachelors              13   \n",
       "16174   64          Local-gov    47298      Doctorate              16   \n",
       "16175   55          Local-gov   258121    Prof-school              15   \n",
       "16176   46            Private   411037           10th               6   \n",
       "16177   23            Private   228724   Some-college              10   \n",
       "16178   28            Private   179008        HS-grad               9   \n",
       "16179   37            Private   422933        Masters              14   \n",
       "16180   27            Private    32452        Masters              14   \n",
       "16181   35            Private    54363     Assoc-acdm              12   \n",
       "16182   35            Private   113397        HS-grad               9   \n",
       "16183   45            Private   159080        HS-grad               9   \n",
       "16184   59          State-gov   354948      Bachelors              13   \n",
       "16185   31            Private   162572      Bachelors              13   \n",
       "16186   35            Private   108140        HS-grad               9   \n",
       "16187   58            Private   126104           10th               6   \n",
       "16188   41            Private   145522      Bachelors              13   \n",
       "16189   20            Private    61777   Some-college              10   \n",
       "16190   39            Private   139057    Prof-school              15   \n",
       "16191   31            Private   113129        HS-grad               9   \n",
       "16192   27            Private   202062      Bachelors              13   \n",
       "16193   34            Private    31341        HS-grad               9   \n",
       "16194   32            Private   196125        HS-grad               9   \n",
       "16195   33            Private    44559        HS-grad               9   \n",
       "16196   33   Self-emp-not-inc   202153   Some-college              10   \n",
       "16197   35            Private   238980   Some-college              10   \n",
       "16198   56   Self-emp-not-inc   156873        HS-grad               9   \n",
       "16199   20            Private    32805        HS-grad               9   \n",
       "16200   68   Self-emp-not-inc   273088   Some-college              10   \n",
       "16201   43   Self-emp-not-inc   241055        Masters              14   \n",
       "16202   25            Private   157028      Bachelors              13   \n",
       "16203   35          Local-gov   304252     Assoc-acdm              12   \n",
       "16204   57            Private   106910      Assoc-voc              11   \n",
       "16205   57            Private   127728        7th-8th               4   \n",
       "16206   37          State-gov   178876        HS-grad               9   \n",
       "16207   18            Private    78181   Some-college              10   \n",
       "16208   21                NaN   212661   Some-college              10   \n",
       "16209   29            Private   288229        HS-grad               9   \n",
       "16210   24            Private   205883        HS-grad               9   \n",
       "16211   36          Local-gov   268205      Bachelors              13   \n",
       "16212   23            Private   113735   Some-college              10   \n",
       "16213   36            Private   390243        HS-grad               9   \n",
       "16214   52            Private   137984        HS-grad               9   \n",
       "16215   41            Private   160785   Some-college              10   \n",
       "16216   18            Private    86150        HS-grad               9   \n",
       "16217   32            Private   244268           11th               7   \n",
       "16218   34       Self-emp-inc   177828        HS-grad               9   \n",
       "16219   29            Private   337953      Bachelors              13   \n",
       "16220   56   Self-emp-not-inc   254711        HS-grad               9   \n",
       "16221   60            Private   127084        7th-8th               4   \n",
       "16222   19            Private   156618        HS-grad               9   \n",
       "16223   30            Private   201697        HS-grad               9   \n",
       "16224   50   Self-emp-not-inc   187830      Bachelors              13   \n",
       "16225   52            Private   240612        HS-grad               9   \n",
       "16226   66   Self-emp-not-inc   190160    Prof-school              15   \n",
       "16227   28            Private   109001        HS-grad               9   \n",
       "16228   35          Local-gov   297322   Some-college              10   \n",
       "16229   29            Private   335015        HS-grad               9   \n",
       "16230   50            Private   174964        7th-8th               4   \n",
       "16231   34        Federal-gov   408813        HS-grad               9   \n",
       "16232   37            Private   115332        HS-grad               9   \n",
       "16233   29          Local-gov   170482        HS-grad               9   \n",
       "16234   34            Private   113688   Some-college              10   \n",
       "16235   27            Private   133770      Bachelors              13   \n",
       "16236   57            Private   161964           12th               8   \n",
       "16237   30            Private    34572    Prof-school              15   \n",
       "16238   21            Private   198259        HS-grad               9   \n",
       "16239   73                NaN   144872        HS-grad               9   \n",
       "16240   57            Private   161944   Some-college              10   \n",
       "16241   51            Private    29887      Bachelors              13   \n",
       "16242   37        Federal-gov   238980        Masters              14   \n",
       "16243   42            Private   275677      Assoc-voc              11   \n",
       "16244   32            Private    24529      Assoc-voc              11   \n",
       "16245   51   Self-emp-not-inc   311631      Bachelors              13   \n",
       "16246   19            Private   105460            9th               5   \n",
       "16247   24            Private   374763           11th               7   \n",
       "16248   25            Private   242136        HS-grad               9   \n",
       "16249   31            Private   112115        HS-grad               9   \n",
       "16250   49       Self-emp-inc    77132        HS-grad               9   \n",
       "16251   81                NaN    26711      Assoc-voc              11   \n",
       "16252   60            Private   117909      Assoc-voc              11   \n",
       "16253   39            Private   229647      Bachelors              13   \n",
       "16254   38            Private   149347        Masters              14   \n",
       "16255   43          Local-gov    23157        Masters              14   \n",
       "16256   23            Private    93977        HS-grad               9   \n",
       "16257   73       Self-emp-inc   159691   Some-college              10   \n",
       "16258   35            Private   176967   Some-college              10   \n",
       "16259   66            Private   344436        HS-grad               9   \n",
       "16260   27            Private   430340   Some-college              10   \n",
       "16261   40            Private   202168    Prof-school              15   \n",
       "16262   51            Private    82720        HS-grad               9   \n",
       "16263   22            Private   269623   Some-college              10   \n",
       "16264   64   Self-emp-not-inc   136405        HS-grad               9   \n",
       "16265   50          Local-gov   139347        Masters              14   \n",
       "16266   55            Private   224655        HS-grad               9   \n",
       "16267   38            Private   247547      Assoc-voc              11   \n",
       "16268   58            Private   292710     Assoc-acdm              12   \n",
       "16269   32            Private   173449        HS-grad               9   \n",
       "16270   48            Private   285570        HS-grad               9   \n",
       "16271   61            Private    89686        HS-grad               9   \n",
       "16272   31            Private   440129        HS-grad               9   \n",
       "16273   25            Private   350977        HS-grad               9   \n",
       "16274   48          Local-gov   349230        Masters              14   \n",
       "16275   33            Private   245211      Bachelors              13   \n",
       "16276   39            Private   215419      Bachelors              13   \n",
       "16277   64                NaN   321403        HS-grad               9   \n",
       "16278   38            Private   374983      Bachelors              13   \n",
       "16279   44            Private    83891      Bachelors              13   \n",
       "16280   35       Self-emp-inc   182148      Bachelors              13   \n",
       "\n",
       "               marital-status          occupation     relationship  \\\n",
       "0               Never-married        Adm-clerical    Not-in-family   \n",
       "1          Married-civ-spouse     Exec-managerial          Husband   \n",
       "2                    Divorced   Handlers-cleaners    Not-in-family   \n",
       "3          Married-civ-spouse   Handlers-cleaners          Husband   \n",
       "4          Married-civ-spouse      Prof-specialty             Wife   \n",
       "5          Married-civ-spouse     Exec-managerial             Wife   \n",
       "6       Married-spouse-absent       Other-service    Not-in-family   \n",
       "7          Married-civ-spouse     Exec-managerial          Husband   \n",
       "8               Never-married      Prof-specialty    Not-in-family   \n",
       "9          Married-civ-spouse     Exec-managerial          Husband   \n",
       "10         Married-civ-spouse     Exec-managerial          Husband   \n",
       "11         Married-civ-spouse      Prof-specialty          Husband   \n",
       "12              Never-married        Adm-clerical        Own-child   \n",
       "13              Never-married               Sales    Not-in-family   \n",
       "14         Married-civ-spouse        Craft-repair          Husband   \n",
       "15         Married-civ-spouse    Transport-moving          Husband   \n",
       "16              Never-married     Farming-fishing        Own-child   \n",
       "17              Never-married   Machine-op-inspct        Unmarried   \n",
       "18         Married-civ-spouse               Sales          Husband   \n",
       "19                   Divorced     Exec-managerial        Unmarried   \n",
       "20         Married-civ-spouse      Prof-specialty          Husband   \n",
       "21                  Separated       Other-service        Unmarried   \n",
       "22         Married-civ-spouse     Farming-fishing          Husband   \n",
       "23         Married-civ-spouse    Transport-moving          Husband   \n",
       "24                   Divorced        Tech-support        Unmarried   \n",
       "25         Married-civ-spouse        Tech-support          Husband   \n",
       "26              Never-married        Craft-repair        Own-child   \n",
       "27         Married-civ-spouse                 NaN          Husband   \n",
       "28                   Divorced     Exec-managerial    Not-in-family   \n",
       "29         Married-civ-spouse        Craft-repair          Husband   \n",
       "30              Never-married     Protective-serv    Not-in-family   \n",
       "31              Never-married               Sales        Own-child   \n",
       "32                   Divorced     Exec-managerial        Own-child   \n",
       "33         Married-civ-spouse        Adm-clerical        Own-child   \n",
       "34         Married-civ-spouse       Other-service          Husband   \n",
       "35              Never-married   Machine-op-inspct        Unmarried   \n",
       "36              Never-married   Machine-op-inspct        Own-child   \n",
       "37          Married-AF-spouse        Adm-clerical             Wife   \n",
       "38         Married-civ-spouse               Sales          Husband   \n",
       "39         Married-civ-spouse      Prof-specialty          Husband   \n",
       "40         Married-civ-spouse   Machine-op-inspct          Husband   \n",
       "41         Married-civ-spouse      Prof-specialty          Husband   \n",
       "42         Married-civ-spouse        Tech-support          Husband   \n",
       "43                  Separated        Adm-clerical        Unmarried   \n",
       "44              Never-married   Handlers-cleaners    Not-in-family   \n",
       "45         Married-civ-spouse      Prof-specialty          Husband   \n",
       "46         Married-civ-spouse   Machine-op-inspct          Husband   \n",
       "47                   Divorced     Exec-managerial        Unmarried   \n",
       "48         Married-civ-spouse        Craft-repair          Husband   \n",
       "49              Never-married      Prof-specialty    Not-in-family   \n",
       "50         Married-civ-spouse     Exec-managerial             Wife   \n",
       "51              Never-married       Other-service        Own-child   \n",
       "52         Married-civ-spouse      Prof-specialty             Wife   \n",
       "53                   Divorced     Exec-managerial    Not-in-family   \n",
       "54                   Divorced     Exec-managerial    Not-in-family   \n",
       "55         Married-civ-spouse        Tech-support          Husband   \n",
       "56         Married-civ-spouse   Machine-op-inspct          Husband   \n",
       "57         Married-civ-spouse       Other-service          Husband   \n",
       "58         Married-civ-spouse        Adm-clerical          Husband   \n",
       "59         Married-civ-spouse   Machine-op-inspct          Husband   \n",
       "60         Married-civ-spouse               Sales          Husband   \n",
       "61      Married-spouse-absent                 NaN    Not-in-family   \n",
       "62         Married-civ-spouse    Transport-moving          Husband   \n",
       "63         Married-civ-spouse      Prof-specialty          Husband   \n",
       "64                   Divorced        Tech-support    Not-in-family   \n",
       "65         Married-civ-spouse        Craft-repair          Husband   \n",
       "66                   Divorced        Adm-clerical    Not-in-family   \n",
       "67         Married-civ-spouse        Adm-clerical             Wife   \n",
       "68         Married-civ-spouse     Exec-managerial          Husband   \n",
       "69              Never-married                 NaN        Own-child   \n",
       "70              Never-married      Prof-specialty        Own-child   \n",
       "71                  Separated               Sales        Own-child   \n",
       "72         Married-civ-spouse               Sales          Husband   \n",
       "73              Never-married   Machine-op-inspct    Not-in-family   \n",
       "74         Married-civ-spouse      Prof-specialty   Other-relative   \n",
       "75              Never-married       Other-service        Own-child   \n",
       "76         Married-civ-spouse        Adm-clerical          Husband   \n",
       "77         Married-civ-spouse                 NaN          Husband   \n",
       "78              Never-married       Other-service        Own-child   \n",
       "79         Married-civ-spouse     Farming-fishing          Husband   \n",
       "80              Never-married               Sales    Not-in-family   \n",
       "81         Married-civ-spouse       Other-service          Husband   \n",
       "82         Married-civ-spouse       Other-service             Wife   \n",
       "83         Married-civ-spouse               Sales          Husband   \n",
       "84                   Divorced        Craft-repair    Not-in-family   \n",
       "85                   Divorced               Sales        Own-child   \n",
       "86         Married-civ-spouse     Protective-serv          Husband   \n",
       "87         Married-civ-spouse      Prof-specialty          Husband   \n",
       "88              Never-married               Sales    Not-in-family   \n",
       "89              Never-married      Prof-specialty    Not-in-family   \n",
       "90         Married-civ-spouse      Prof-specialty          Husband   \n",
       "91                   Divorced        Craft-repair        Unmarried   \n",
       "92                   Divorced   Machine-op-inspct        Unmarried   \n",
       "93         Married-civ-spouse               Sales             Wife   \n",
       "94         Married-civ-spouse     Protective-serv          Husband   \n",
       "95              Never-married   Handlers-cleaners    Not-in-family   \n",
       "96         Married-civ-spouse      Prof-specialty          Husband   \n",
       "97         Married-civ-spouse               Sales          Husband   \n",
       "98                   Divorced     Exec-managerial        Unmarried   \n",
       "99              Never-married       Other-service        Own-child   \n",
       "100        Married-civ-spouse     Exec-managerial          Husband   \n",
       "101        Married-civ-spouse     Exec-managerial          Husband   \n",
       "102             Never-married      Prof-specialty    Not-in-family   \n",
       "103             Never-married        Tech-support        Own-child   \n",
       "104             Never-married        Craft-repair    Not-in-family   \n",
       "105        Married-civ-spouse        Craft-repair          Husband   \n",
       "106             Never-married                 NaN        Own-child   \n",
       "107             Never-married   Handlers-cleaners        Own-child   \n",
       "108             Never-married        Adm-clerical    Not-in-family   \n",
       "109        Married-civ-spouse   Handlers-cleaners          Husband   \n",
       "110             Never-married               Sales   Other-relative   \n",
       "111        Married-civ-spouse      Prof-specialty          Husband   \n",
       "112        Married-civ-spouse       Other-service          Husband   \n",
       "113        Married-civ-spouse               Sales             Wife   \n",
       "114             Never-married   Machine-op-inspct        Own-child   \n",
       "115        Married-civ-spouse   Handlers-cleaners          Husband   \n",
       "116        Married-civ-spouse               Sales          Husband   \n",
       "117        Married-civ-spouse        Craft-repair          Husband   \n",
       "118        Married-civ-spouse               Sales          Husband   \n",
       "119             Never-married        Craft-repair    Not-in-family   \n",
       "120             Never-married       Other-service        Own-child   \n",
       "121        Married-civ-spouse     Exec-managerial          Husband   \n",
       "122             Never-married     Exec-managerial        Own-child   \n",
       "123        Married-civ-spouse      Prof-specialty          Husband   \n",
       "124             Never-married       Other-service        Own-child   \n",
       "125        Married-civ-spouse     Exec-managerial             Wife   \n",
       "126             Never-married        Adm-clerical        Own-child   \n",
       "127        Married-civ-spouse        Adm-clerical          Husband   \n",
       "128        Married-civ-spouse                 NaN          Husband   \n",
       "129                  Divorced        Craft-repair    Not-in-family   \n",
       "130             Never-married               Sales    Not-in-family   \n",
       "131             Never-married       Other-service    Not-in-family   \n",
       "132        Married-civ-spouse        Craft-repair          Husband   \n",
       "133        Married-civ-spouse               Sales          Husband   \n",
       "134                  Divorced        Tech-support    Not-in-family   \n",
       "135        Married-civ-spouse      Prof-specialty          Husband   \n",
       "136        Married-civ-spouse        Craft-repair          Husband   \n",
       "137        Married-civ-spouse        Adm-clerical             Wife   \n",
       "138             Never-married               Sales        Own-child   \n",
       "139        Married-civ-spouse        Craft-repair          Husband   \n",
       "140        Married-civ-spouse        Craft-repair          Husband   \n",
       "141             Never-married               Sales        Own-child   \n",
       "142             Never-married       Other-service        Own-child   \n",
       "143             Never-married      Prof-specialty    Not-in-family   \n",
       "144             Never-married        Tech-support   Other-relative   \n",
       "145             Never-married    Transport-moving        Unmarried   \n",
       "146        Married-civ-spouse       Other-service          Husband   \n",
       "147                   Widowed       Other-service        Unmarried   \n",
       "148        Married-civ-spouse        Craft-repair          Husband   \n",
       "149                  Divorced                 NaN    Not-in-family   \n",
       "150                  Divorced        Adm-clerical        Unmarried   \n",
       "151             Never-married        Adm-clerical    Not-in-family   \n",
       "152             Never-married     Exec-managerial   Other-relative   \n",
       "153             Never-married        Craft-repair        Own-child   \n",
       "154                  Divorced                 NaN    Not-in-family   \n",
       "155        Married-civ-spouse        Craft-repair          Husband   \n",
       "156             Never-married   Handlers-cleaners    Not-in-family   \n",
       "157                 Separated               Sales        Unmarried   \n",
       "158                  Divorced        Craft-repair    Not-in-family   \n",
       "159                 Separated       Other-service   Other-relative   \n",
       "160                  Divorced                 NaN    Not-in-family   \n",
       "161             Never-married       Other-service        Unmarried   \n",
       "162                  Divorced     Exec-managerial        Unmarried   \n",
       "163             Never-married     Exec-managerial    Not-in-family   \n",
       "164        Married-civ-spouse               Sales          Husband   \n",
       "165                  Divorced       Other-service        Unmarried   \n",
       "166             Never-married     Exec-managerial    Not-in-family   \n",
       "167                   Widowed     Protective-serv        Unmarried   \n",
       "168             Never-married   Handlers-cleaners        Own-child   \n",
       "169                   Widowed      Prof-specialty    Not-in-family   \n",
       "170             Never-married       Other-service    Not-in-family   \n",
       "171        Married-civ-spouse     Protective-serv          Husband   \n",
       "172        Married-civ-spouse               Sales          Husband   \n",
       "173             Never-married        Craft-repair    Not-in-family   \n",
       "174        Married-civ-spouse      Prof-specialty          Husband   \n",
       "175     Married-spouse-absent               Sales        Unmarried   \n",
       "176             Never-married        Craft-repair        Own-child   \n",
       "177             Never-married   Handlers-cleaners    Not-in-family   \n",
       "178             Never-married       Other-service        Own-child   \n",
       "179        Married-civ-spouse      Prof-specialty          Husband   \n",
       "180        Married-civ-spouse     Exec-managerial          Husband   \n",
       "181                  Divorced        Adm-clerical    Not-in-family   \n",
       "182             Never-married        Craft-repair    Not-in-family   \n",
       "183        Married-civ-spouse   Machine-op-inspct          Husband   \n",
       "184        Married-civ-spouse        Adm-clerical          Husband   \n",
       "185        Married-civ-spouse        Adm-clerical          Husband   \n",
       "186                  Divorced     Exec-managerial    Not-in-family   \n",
       "187                  Divorced                 NaN    Not-in-family   \n",
       "188        Married-civ-spouse      Prof-specialty             Wife   \n",
       "189        Married-civ-spouse      Prof-specialty          Husband   \n",
       "190                  Divorced   Machine-op-inspct    Not-in-family   \n",
       "191        Married-civ-spouse   Machine-op-inspct          Husband   \n",
       "192        Married-civ-spouse        Craft-repair          Husband   \n",
       "193        Married-civ-spouse        Tech-support          Husband   \n",
       "194        Married-civ-spouse        Tech-support          Husband   \n",
       "195        Married-civ-spouse    Transport-moving   Other-relative   \n",
       "196                  Divorced        Craft-repair    Not-in-family   \n",
       "197             Never-married     Exec-managerial    Not-in-family   \n",
       "198        Married-civ-spouse      Prof-specialty   Other-relative   \n",
       "199             Never-married               Sales    Not-in-family   \n",
       "200             Never-married      Prof-specialty    Not-in-family   \n",
       "201             Never-married                 NaN        Own-child   \n",
       "202        Married-civ-spouse     Exec-managerial          Husband   \n",
       "203             Never-married      Prof-specialty    Not-in-family   \n",
       "204                  Divorced        Adm-clerical        Unmarried   \n",
       "205             Never-married               Sales        Own-child   \n",
       "206        Married-civ-spouse       Other-service          Husband   \n",
       "207                  Divorced        Craft-repair    Not-in-family   \n",
       "208        Married-civ-spouse               Sales             Wife   \n",
       "209             Never-married               Sales        Own-child   \n",
       "210        Married-civ-spouse    Transport-moving          Husband   \n",
       "211        Married-civ-spouse        Craft-repair          Husband   \n",
       "212             Never-married               Sales    Not-in-family   \n",
       "213        Married-civ-spouse        Craft-repair          Husband   \n",
       "214        Married-civ-spouse   Machine-op-inspct          Husband   \n",
       "215             Never-married     Exec-managerial    Not-in-family   \n",
       "216                  Divorced               Sales    Not-in-family   \n",
       "217        Married-civ-spouse               Sales          Husband   \n",
       "218        Married-civ-spouse      Prof-specialty          Husband   \n",
       "219             Never-married        Craft-repair    Not-in-family   \n",
       "220        Married-civ-spouse   Handlers-cleaners          Husband   \n",
       "221                  Divorced                 NaN    Not-in-family   \n",
       "222             Never-married       Other-service    Not-in-family   \n",
       "223        Married-civ-spouse        Adm-clerical          Husband   \n",
       "224             Never-married   Machine-op-inspct    Not-in-family   \n",
       "225             Never-married               Sales        Own-child   \n",
       "226                  Divorced                 NaN    Not-in-family   \n",
       "227        Married-civ-spouse     Farming-fishing          Husband   \n",
       "228                   Widowed        Adm-clerical    Not-in-family   \n",
       "229                  Divorced        Adm-clerical    Not-in-family   \n",
       "230                 Separated    Transport-moving    Not-in-family   \n",
       "231                  Divorced               Sales        Unmarried   \n",
       "232             Never-married        Adm-clerical    Not-in-family   \n",
       "233                  Divorced        Craft-repair   Other-relative   \n",
       "234             Never-married      Prof-specialty    Not-in-family   \n",
       "235        Married-civ-spouse       Other-service          Husband   \n",
       "236             Never-married        Adm-clerical    Not-in-family   \n",
       "237        Married-civ-spouse     Exec-managerial          Husband   \n",
       "238        Married-civ-spouse     Exec-managerial          Husband   \n",
       "239             Never-married    Transport-moving        Own-child   \n",
       "240        Married-civ-spouse      Prof-specialty          Husband   \n",
       "241        Married-civ-spouse       Other-service             Wife   \n",
       "242        Married-civ-spouse     Protective-serv          Husband   \n",
       "243             Never-married                 NaN        Own-child   \n",
       "244                  Divorced        Craft-repair    Not-in-family   \n",
       "245        Married-civ-spouse        Adm-clerical          Husband   \n",
       "246        Married-civ-spouse        Adm-clerical          Husband   \n",
       "247             Never-married       Other-service    Not-in-family   \n",
       "248        Married-civ-spouse        Tech-support          Husband   \n",
       "249        Married-civ-spouse        Adm-clerical          Husband   \n",
       "...                       ...                 ...              ...   \n",
       "16031           Never-married       Other-service        Own-child   \n",
       "16032      Married-civ-spouse                 NaN          Husband   \n",
       "16033           Never-married        Craft-repair    Not-in-family   \n",
       "16034      Married-civ-spouse       Other-service          Husband   \n",
       "16035           Never-married                 NaN        Own-child   \n",
       "16036      Married-civ-spouse        Adm-clerical          Husband   \n",
       "16037      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16038           Never-married        Adm-clerical        Own-child   \n",
       "16039           Never-married       Other-service    Not-in-family   \n",
       "16040      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16041      Married-civ-spouse               Sales          Husband   \n",
       "16042           Never-married       Other-service        Own-child   \n",
       "16043           Never-married    Transport-moving    Not-in-family   \n",
       "16044      Married-civ-spouse     Protective-serv          Husband   \n",
       "16045                 Widowed     Priv-house-serv        Unmarried   \n",
       "16046               Separated     Farming-fishing        Unmarried   \n",
       "16047           Never-married        Adm-clerical    Not-in-family   \n",
       "16048                Divorced        Tech-support    Not-in-family   \n",
       "16049      Married-civ-spouse       Other-service          Husband   \n",
       "16050      Married-civ-spouse        Tech-support          Husband   \n",
       "16051                 Widowed        Tech-support        Unmarried   \n",
       "16052      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16053      Married-civ-spouse       Other-service   Other-relative   \n",
       "16054                Divorced        Adm-clerical        Own-child   \n",
       "16055      Married-civ-spouse               Sales          Husband   \n",
       "16056      Married-civ-spouse       Other-service          Husband   \n",
       "16057   Married-spouse-absent   Machine-op-inspct        Unmarried   \n",
       "16058      Married-civ-spouse    Transport-moving          Husband   \n",
       "16059           Never-married               Sales        Own-child   \n",
       "16060      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16061      Married-civ-spouse               Sales          Husband   \n",
       "16062                Divorced     Exec-managerial        Unmarried   \n",
       "16063           Never-married   Handlers-cleaners        Own-child   \n",
       "16064      Married-civ-spouse               Sales          Husband   \n",
       "16065      Married-civ-spouse        Adm-clerical          Husband   \n",
       "16066      Married-civ-spouse        Tech-support          Husband   \n",
       "16067           Never-married      Prof-specialty    Not-in-family   \n",
       "16068      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16069      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16070               Separated   Handlers-cleaners        Unmarried   \n",
       "16071      Married-civ-spouse       Other-service          Husband   \n",
       "16072                Divorced    Transport-moving    Not-in-family   \n",
       "16073      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16074      Married-civ-spouse        Craft-repair          Husband   \n",
       "16075           Never-married      Prof-specialty    Not-in-family   \n",
       "16076      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16077      Married-civ-spouse     Farming-fishing        Own-child   \n",
       "16078      Married-civ-spouse        Adm-clerical          Husband   \n",
       "16079      Married-civ-spouse       Other-service          Husband   \n",
       "16080           Never-married               Sales    Not-in-family   \n",
       "16081           Never-married     Exec-managerial    Not-in-family   \n",
       "16082      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16083                 Widowed        Tech-support        Unmarried   \n",
       "16084      Married-civ-spouse        Adm-clerical          Husband   \n",
       "16085      Married-civ-spouse       Other-service          Husband   \n",
       "16086                 Widowed       Other-service        Unmarried   \n",
       "16087      Married-civ-spouse        Craft-repair          Husband   \n",
       "16088      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16089           Never-married               Sales        Own-child   \n",
       "16090           Never-married      Prof-specialty    Not-in-family   \n",
       "16091                Divorced               Sales   Other-relative   \n",
       "16092               Separated      Prof-specialty    Not-in-family   \n",
       "16093           Never-married       Other-service   Other-relative   \n",
       "16094                Divorced     Exec-managerial    Not-in-family   \n",
       "16095                Divorced        Adm-clerical    Not-in-family   \n",
       "16096               Separated     Exec-managerial        Unmarried   \n",
       "16097      Married-civ-spouse        Craft-repair          Husband   \n",
       "16098           Never-married      Prof-specialty    Not-in-family   \n",
       "16099      Married-civ-spouse        Craft-repair          Husband   \n",
       "16100      Married-civ-spouse        Adm-clerical          Husband   \n",
       "16101      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16102           Never-married     Exec-managerial    Not-in-family   \n",
       "16103      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16104                Divorced        Craft-repair    Not-in-family   \n",
       "16105           Never-married        Adm-clerical        Own-child   \n",
       "16106                Divorced      Prof-specialty        Unmarried   \n",
       "16107           Never-married               Sales    Not-in-family   \n",
       "16108           Never-married      Prof-specialty    Not-in-family   \n",
       "16109           Never-married        Craft-repair        Own-child   \n",
       "16110      Married-civ-spouse       Other-service          Husband   \n",
       "16111      Married-civ-spouse       Other-service          Husband   \n",
       "16112           Never-married     Exec-managerial    Not-in-family   \n",
       "16113           Never-married      Prof-specialty    Not-in-family   \n",
       "16114           Never-married      Prof-specialty    Not-in-family   \n",
       "16115      Married-civ-spouse        Craft-repair          Husband   \n",
       "16116           Never-married        Adm-clerical        Own-child   \n",
       "16117           Never-married                 NaN   Other-relative   \n",
       "16118      Married-civ-spouse    Transport-moving          Husband   \n",
       "16119           Never-married     Exec-managerial    Not-in-family   \n",
       "16120      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16121      Married-civ-spouse                 NaN          Husband   \n",
       "16122           Never-married               Sales        Own-child   \n",
       "16123                Divorced     Exec-managerial        Unmarried   \n",
       "16124                Divorced      Prof-specialty        Unmarried   \n",
       "16125           Never-married        Tech-support        Own-child   \n",
       "16126               Separated        Adm-clerical    Not-in-family   \n",
       "16127      Married-civ-spouse        Craft-repair          Husband   \n",
       "16128      Married-civ-spouse     Farming-fishing          Husband   \n",
       "16129                Divorced      Prof-specialty    Not-in-family   \n",
       "16130      Married-civ-spouse               Sales          Husband   \n",
       "16131           Never-married     Exec-managerial    Not-in-family   \n",
       "16132           Never-married        Craft-repair        Own-child   \n",
       "16133           Never-married     Exec-managerial    Not-in-family   \n",
       "16134      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16135           Never-married       Other-service    Not-in-family   \n",
       "16136           Never-married        Adm-clerical        Unmarried   \n",
       "16137      Married-civ-spouse     Farming-fishing   Other-relative   \n",
       "16138      Married-civ-spouse    Transport-moving          Husband   \n",
       "16139      Married-civ-spouse               Sales          Husband   \n",
       "16140      Married-civ-spouse        Craft-repair          Husband   \n",
       "16141                 Widowed       Other-service    Not-in-family   \n",
       "16142      Married-civ-spouse       Other-service          Husband   \n",
       "16143                Divorced     Exec-managerial    Not-in-family   \n",
       "16144      Married-civ-spouse   Handlers-cleaners          Husband   \n",
       "16145      Married-civ-spouse   Machine-op-inspct             Wife   \n",
       "16146           Never-married      Prof-specialty        Own-child   \n",
       "16147      Married-civ-spouse   Machine-op-inspct          Husband   \n",
       "16148      Married-civ-spouse               Sales          Husband   \n",
       "16149      Married-civ-spouse        Craft-repair          Husband   \n",
       "16150      Married-civ-spouse   Machine-op-inspct             Wife   \n",
       "16151           Never-married        Adm-clerical    Not-in-family   \n",
       "16152      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16153      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16154      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16155                Divorced     Exec-managerial        Unmarried   \n",
       "16156      Married-civ-spouse      Prof-specialty             Wife   \n",
       "16157      Married-civ-spouse        Craft-repair          Husband   \n",
       "16158      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16159      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16160           Never-married        Adm-clerical   Other-relative   \n",
       "16161      Married-civ-spouse    Transport-moving          Husband   \n",
       "16162      Married-civ-spouse               Sales          Husband   \n",
       "16163      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16164      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16165      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16166                Divorced   Machine-op-inspct    Not-in-family   \n",
       "16167               Separated        Craft-repair    Not-in-family   \n",
       "16168      Married-civ-spouse        Adm-clerical          Husband   \n",
       "16169           Never-married     Exec-managerial   Other-relative   \n",
       "16170                 Widowed   Handlers-cleaners    Not-in-family   \n",
       "16171           Never-married     Exec-managerial    Not-in-family   \n",
       "16172      Married-civ-spouse               Sales             Wife   \n",
       "16173           Never-married               Sales    Not-in-family   \n",
       "16174      Married-civ-spouse     Protective-serv          Husband   \n",
       "16175      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16176                Divorced               Sales        Unmarried   \n",
       "16177           Never-married      Prof-specialty    Not-in-family   \n",
       "16178      Married-civ-spouse    Transport-moving          Husband   \n",
       "16179           Never-married     Exec-managerial        Own-child   \n",
       "16180      Married-civ-spouse        Adm-clerical             Wife   \n",
       "16181      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16182      Married-civ-spouse               Sales          Husband   \n",
       "16183      Married-civ-spouse        Adm-clerical        Own-child   \n",
       "16184      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16185      Married-civ-spouse               Sales          Husband   \n",
       "16186                Divorced        Craft-repair    Not-in-family   \n",
       "16187                Divorced       Other-service        Unmarried   \n",
       "16188           Never-married      Prof-specialty    Not-in-family   \n",
       "16189           Never-married               Sales    Not-in-family   \n",
       "16190      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16191      Married-civ-spouse               Sales          Husband   \n",
       "16192           Never-married      Prof-specialty        Own-child   \n",
       "16193                Divorced        Adm-clerical        Unmarried   \n",
       "16194      Married-civ-spouse   Machine-op-inspct          Husband   \n",
       "16195      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16196      Married-civ-spouse        Craft-repair          Husband   \n",
       "16197           Never-married               Sales    Not-in-family   \n",
       "16198      Married-civ-spouse        Craft-repair          Husband   \n",
       "16199           Never-married       Other-service    Not-in-family   \n",
       "16200      Married-civ-spouse        Craft-repair          Husband   \n",
       "16201      Married-civ-spouse               Sales          Husband   \n",
       "16202           Never-married               Sales    Not-in-family   \n",
       "16203                Divorced     Exec-managerial    Not-in-family   \n",
       "16204                Divorced       Other-service   Other-relative   \n",
       "16205      Married-civ-spouse    Transport-moving          Husband   \n",
       "16206      Married-civ-spouse     Protective-serv          Husband   \n",
       "16207           Never-married       Other-service   Other-relative   \n",
       "16208           Never-married                 NaN        Own-child   \n",
       "16209      Married-civ-spouse        Tech-support             Wife   \n",
       "16210           Never-married        Adm-clerical        Unmarried   \n",
       "16211                Divorced      Prof-specialty        Unmarried   \n",
       "16212                Divorced        Adm-clerical   Other-relative   \n",
       "16213           Never-married        Craft-repair        Own-child   \n",
       "16214                Divorced        Craft-repair        Unmarried   \n",
       "16215      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16216           Never-married     Exec-managerial        Own-child   \n",
       "16217      Married-civ-spouse        Craft-repair          Husband   \n",
       "16218                Divorced               Sales        Unmarried   \n",
       "16219           Never-married   Handlers-cleaners    Not-in-family   \n",
       "16220      Married-civ-spouse               Sales          Husband   \n",
       "16221      Married-civ-spouse    Transport-moving          Husband   \n",
       "16222           Never-married       Other-service        Own-child   \n",
       "16223               Separated       Other-service    Not-in-family   \n",
       "16224                Divorced        Craft-repair    Not-in-family   \n",
       "16225      Married-civ-spouse      Prof-specialty             Wife   \n",
       "16226      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16227           Never-married   Handlers-cleaners    Not-in-family   \n",
       "16228      Married-civ-spouse    Transport-moving          Husband   \n",
       "16229      Married-civ-spouse        Craft-repair          Husband   \n",
       "16230      Married-civ-spouse    Transport-moving          Husband   \n",
       "16231      Married-civ-spouse        Craft-repair             Wife   \n",
       "16232      Married-civ-spouse    Transport-moving          Husband   \n",
       "16233      Married-civ-spouse     Protective-serv          Husband   \n",
       "16234                Divorced       Other-service    Not-in-family   \n",
       "16235           Never-married      Prof-specialty    Not-in-family   \n",
       "16236      Married-civ-spouse        Craft-repair          Husband   \n",
       "16237      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16238           Never-married   Handlers-cleaners        Own-child   \n",
       "16239      Married-civ-spouse                 NaN          Husband   \n",
       "16240      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16241                Divorced        Tech-support    Not-in-family   \n",
       "16242           Never-married        Adm-clerical    Not-in-family   \n",
       "16243      Married-civ-spouse        Adm-clerical          Husband   \n",
       "16244      Married-civ-spouse               Sales          Husband   \n",
       "16245      Married-civ-spouse               Sales          Husband   \n",
       "16246           Never-married        Craft-repair        Own-child   \n",
       "16247               Separated        Craft-repair    Not-in-family   \n",
       "16248                Divorced   Machine-op-inspct    Not-in-family   \n",
       "16249           Never-married   Machine-op-inspct    Not-in-family   \n",
       "16250      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16251      Married-civ-spouse                 NaN          Husband   \n",
       "16252      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16253           Never-married        Tech-support    Not-in-family   \n",
       "16254      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16255      Married-civ-spouse     Exec-managerial          Husband   \n",
       "16256           Never-married   Machine-op-inspct        Own-child   \n",
       "16257                Divorced     Exec-managerial    Not-in-family   \n",
       "16258      Married-civ-spouse     Protective-serv          Husband   \n",
       "16259                 Widowed               Sales   Other-relative   \n",
       "16260           Never-married               Sales    Not-in-family   \n",
       "16261      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16262      Married-civ-spouse        Craft-repair          Husband   \n",
       "16263           Never-married        Craft-repair        Own-child   \n",
       "16264                 Widowed     Farming-fishing    Not-in-family   \n",
       "16265      Married-civ-spouse      Prof-specialty             Wife   \n",
       "16266               Separated     Priv-house-serv    Not-in-family   \n",
       "16267           Never-married        Adm-clerical        Unmarried   \n",
       "16268                Divorced      Prof-specialty    Not-in-family   \n",
       "16269      Married-civ-spouse   Handlers-cleaners          Husband   \n",
       "16270      Married-civ-spouse        Adm-clerical          Husband   \n",
       "16271      Married-civ-spouse               Sales          Husband   \n",
       "16272      Married-civ-spouse        Craft-repair          Husband   \n",
       "16273           Never-married       Other-service        Own-child   \n",
       "16274                Divorced       Other-service    Not-in-family   \n",
       "16275           Never-married      Prof-specialty        Own-child   \n",
       "16276                Divorced      Prof-specialty    Not-in-family   \n",
       "16277                 Widowed                 NaN   Other-relative   \n",
       "16278      Married-civ-spouse      Prof-specialty          Husband   \n",
       "16279                Divorced        Adm-clerical        Own-child   \n",
       "16280      Married-civ-spouse     Exec-managerial          Husband   \n",
       "\n",
       "                      race      sex   capital-gain   capital-loss  \\\n",
       "0                    White     Male           2174              0   \n",
       "1                    White     Male              0              0   \n",
       "2                    White     Male              0              0   \n",
       "3                    Black     Male              0              0   \n",
       "4                    Black   Female              0              0   \n",
       "5                    White   Female              0              0   \n",
       "6                    Black   Female              0              0   \n",
       "7                    White     Male              0              0   \n",
       "8                    White   Female          14084              0   \n",
       "9                    White     Male           5178              0   \n",
       "10                   Black     Male              0              0   \n",
       "11      Asian-Pac-Islander     Male              0              0   \n",
       "12                   White   Female              0              0   \n",
       "13                   Black     Male              0              0   \n",
       "14      Asian-Pac-Islander     Male              0              0   \n",
       "15      Amer-Indian-Eskimo     Male              0              0   \n",
       "16                   White     Male              0              0   \n",
       "17                   White     Male              0              0   \n",
       "18                   White     Male              0              0   \n",
       "19                   White   Female              0              0   \n",
       "20                   White     Male              0              0   \n",
       "21                   Black   Female              0              0   \n",
       "22                   Black     Male              0              0   \n",
       "23                   White     Male              0           2042   \n",
       "24                   White   Female              0              0   \n",
       "25                   White     Male              0              0   \n",
       "26                   White     Male              0              0   \n",
       "27      Asian-Pac-Islander     Male              0              0   \n",
       "28                   White     Male              0              0   \n",
       "29                   White     Male              0              0   \n",
       "30                   White     Male              0              0   \n",
       "31                   Black     Male              0              0   \n",
       "32                   White     Male              0           1408   \n",
       "33                   White     Male              0              0   \n",
       "34                   Black     Male              0              0   \n",
       "35                   White     Male              0              0   \n",
       "36                   White     Male              0              0   \n",
       "37                   White   Female              0              0   \n",
       "38                   White     Male              0              0   \n",
       "39                   White     Male              0              0   \n",
       "40                   White     Male              0              0   \n",
       "41                   White     Male              0              0   \n",
       "42                   White     Male              0              0   \n",
       "43                   White   Female              0              0   \n",
       "44                   White     Male              0              0   \n",
       "45                   Black     Male              0              0   \n",
       "46                   White     Male              0              0   \n",
       "47                   White   Female              0              0   \n",
       "48                   White     Male              0              0   \n",
       "49                   White     Male              0              0   \n",
       "50                   Other   Female              0              0   \n",
       "51                   White   Female              0              0   \n",
       "52                   White   Female              0           1902   \n",
       "53                   White     Male              0              0   \n",
       "54                   White     Male              0              0   \n",
       "55                   White     Male              0              0   \n",
       "56                   White     Male              0              0   \n",
       "57                   White     Male              0              0   \n",
       "58                   White     Male              0              0   \n",
       "59                   White     Male           5013              0   \n",
       "60                   White     Male           2407              0   \n",
       "61                   White     Male              0              0   \n",
       "62                   White     Male              0              0   \n",
       "63                   White     Male              0              0   \n",
       "64                   White     Male              0              0   \n",
       "65                   White     Male              0              0   \n",
       "66                   White   Female              0              0   \n",
       "67                   White   Female              0              0   \n",
       "68                   White     Male              0              0   \n",
       "69                   White     Male              0              0   \n",
       "70                   White     Male              0              0   \n",
       "71                   Black   Female              0              0   \n",
       "72                   White     Male              0              0   \n",
       "73                   White     Male              0              0   \n",
       "74                   White     Male              0              0   \n",
       "75                   White     Male              0              0   \n",
       "76                   White     Male              0              0   \n",
       "77                   White     Male              0              0   \n",
       "78                   White   Female              0              0   \n",
       "79                   White     Male              0              0   \n",
       "80                   White     Male              0              0   \n",
       "81                   White     Male              0              0   \n",
       "82                   White   Female              0              0   \n",
       "83                   White     Male              0              0   \n",
       "84                   White   Female          14344              0   \n",
       "85                   White   Female              0              0   \n",
       "86                   White     Male              0              0   \n",
       "87                   White     Male              0              0   \n",
       "88                   White     Male              0              0   \n",
       "89                   White   Female              0              0   \n",
       "90                   White     Male              0              0   \n",
       "91                   White   Female              0              0   \n",
       "92                   Black   Female              0              0   \n",
       "93      Asian-Pac-Islander   Female              0           1573   \n",
       "94                   White     Male              0              0   \n",
       "95                   White     Male              0              0   \n",
       "96                   White     Male              0           1902   \n",
       "97                   White     Male              0              0   \n",
       "98                   White   Female              0              0   \n",
       "99                   Black     Male              0              0   \n",
       "100                  White     Male              0              0   \n",
       "101                  White     Male          15024              0   \n",
       "102                  White   Female              0              0   \n",
       "103                  White   Female              0              0   \n",
       "104                  White     Male              0              0   \n",
       "105                  White     Male           7688              0   \n",
       "106                  White   Female          34095              0   \n",
       "107                  White     Male              0              0   \n",
       "108                  White   Female              0              0   \n",
       "109                  White     Male              0              0   \n",
       "110                  White     Male              0              0   \n",
       "111                  White     Male              0              0   \n",
       "112                  White     Male              0           1887   \n",
       "113                  White   Female           4064              0   \n",
       "114                  White   Female              0              0   \n",
       "115                  White     Male              0              0   \n",
       "116                  White     Male              0              0   \n",
       "117                  Black     Male              0              0   \n",
       "118                  White     Male              0              0   \n",
       "119                  White     Male              0              0   \n",
       "120                  White   Female              0              0   \n",
       "121                  White     Male              0              0   \n",
       "122                  Black     Male              0              0   \n",
       "123                  White     Male              0              0   \n",
       "124                  Black     Male              0              0   \n",
       "125                  White   Female              0              0   \n",
       "126                  White   Female              0           1719   \n",
       "127                  White     Male              0              0   \n",
       "128                  White     Male              0              0   \n",
       "129                  White     Male              0              0   \n",
       "130                  White   Female              0              0   \n",
       "131                  White   Female              0           1762   \n",
       "132                  White     Male           4386              0   \n",
       "133                  White     Male              0              0   \n",
       "134                  Black   Female              0              0   \n",
       "135                  White     Male              0              0   \n",
       "136                  White     Male              0              0   \n",
       "137                  White   Female              0              0   \n",
       "138                  White     Male              0              0   \n",
       "139     Asian-Pac-Islander     Male              0              0   \n",
       "140                  White     Male              0              0   \n",
       "141                  White   Female              0              0   \n",
       "142                  White     Male              0              0   \n",
       "143                  White   Female              0           1564   \n",
       "144                  White     Male              0              0   \n",
       "145                  Black   Female              0              0   \n",
       "146                  White     Male              0              0   \n",
       "147                  White   Female              0              0   \n",
       "148                  White     Male              0           2179   \n",
       "149                  White   Female              0              0   \n",
       "150                  White   Female              0              0   \n",
       "151                  White   Female              0              0   \n",
       "152     Asian-Pac-Islander   Female              0              0   \n",
       "153                  White     Male              0              0   \n",
       "154                  White     Male              0              0   \n",
       "155                  White     Male              0              0   \n",
       "156                  White     Male              0              0   \n",
       "157                  Black     Male              0           1816   \n",
       "158                  White     Male              0              0   \n",
       "159                  Black     Male              0              0   \n",
       "160                  White   Female              0              0   \n",
       "161                  White   Female              0              0   \n",
       "162     Asian-Pac-Islander   Female              0              0   \n",
       "163     Asian-Pac-Islander   Female              0              0   \n",
       "164                  White     Male              0              0   \n",
       "165                  White   Female              0              0   \n",
       "166                  White     Male              0              0   \n",
       "167                  White     Male              0              0   \n",
       "168                  White     Male              0              0   \n",
       "169                  White   Female              0              0   \n",
       "170                  White     Male              0           1980   \n",
       "171                  White     Male              0              0   \n",
       "172                  White     Male              0           1977   \n",
       "173                  White     Male              0              0   \n",
       "174                  White     Male              0              0   \n",
       "175                  White   Female              0              0   \n",
       "176                  Black     Male              0              0   \n",
       "177                  Black     Male              0              0   \n",
       "178                  White     Male              0              0   \n",
       "179                  White     Male              0              0   \n",
       "180                  Black     Male              0              0   \n",
       "181                  White   Female              0              0   \n",
       "182                  Black     Male              0              0   \n",
       "183                  White     Male              0              0   \n",
       "184                  White     Male              0              0   \n",
       "185                  Black     Male              0              0   \n",
       "186                  White   Female              0              0   \n",
       "187                  White   Female              0              0   \n",
       "188                  White   Female              0              0   \n",
       "189                  White     Male              0              0   \n",
       "190                  Black   Female              0              0   \n",
       "191                  White     Male              0              0   \n",
       "192                  Black     Male              0              0   \n",
       "193                  White     Male              0              0   \n",
       "194                  White     Male              0              0   \n",
       "195                  White     Male              0              0   \n",
       "196                  White     Male              0              0   \n",
       "197                  White   Female          14084              0   \n",
       "198                  White     Male           7298              0   \n",
       "199                  White     Male              0              0   \n",
       "200                  White   Female              0           1876   \n",
       "201                  White     Male              0              0   \n",
       "202                  White     Male              0              0   \n",
       "203                  White   Female              0           1340   \n",
       "204                  White   Female              0              0   \n",
       "205                  White   Female              0              0   \n",
       "206                  Black     Male           7298              0   \n",
       "207                  White     Male              0              0   \n",
       "208                  White   Female          15024              0   \n",
       "209                  White   Female              0              0   \n",
       "210                  Black     Male              0              0   \n",
       "211                  White     Male              0              0   \n",
       "212     Amer-Indian-Eskimo   Female              0              0   \n",
       "213     Asian-Pac-Islander     Male              0              0   \n",
       "214                  White     Male              0              0   \n",
       "215                  Black     Male              0              0   \n",
       "216                  White   Female              0              0   \n",
       "217                  White     Male              0              0   \n",
       "218                  White     Male              0              0   \n",
       "219                  White     Male              0              0   \n",
       "220                  White     Male              0              0   \n",
       "221                  White     Male              0              0   \n",
       "222                  Black     Male              0           2206   \n",
       "223                  Black     Male              0              0   \n",
       "224                  White   Female              0              0   \n",
       "225                  White   Female              0              0   \n",
       "226     Amer-Indian-Eskimo   Female              0              0   \n",
       "227                  White     Male           1409              0   \n",
       "228                  White   Female              0              0   \n",
       "229                  White   Female              0              0   \n",
       "230                  Black     Male           3674              0   \n",
       "231                  Black   Female              0              0   \n",
       "232                  White     Male              0              0   \n",
       "233                  Other   Female              0              0   \n",
       "234                  White     Male              0              0   \n",
       "235                  White     Male              0              0   \n",
       "236                  White   Female              0              0   \n",
       "237                  White     Male              0              0   \n",
       "238                  White     Male              0              0   \n",
       "239                  White     Male              0              0   \n",
       "240                  White     Male              0              0   \n",
       "241                  White   Female              0              0   \n",
       "242                  White     Male              0              0   \n",
       "243                  White     Male              0              0   \n",
       "244                  White     Male              0           1741   \n",
       "245                  White     Male              0              0   \n",
       "246                  White     Male              0              0   \n",
       "247                  White   Female              0              0   \n",
       "248                  White     Male              0           1977   \n",
       "249                  White     Male              0              0   \n",
       "...                    ...      ...            ...            ...   \n",
       "16031                White   Female              0              0   \n",
       "16032                White     Male              0              0   \n",
       "16033                White     Male              0           1741   \n",
       "16034                White     Male              0              0   \n",
       "16035                White     Male              0              0   \n",
       "16036                White     Male              0              0   \n",
       "16037                White     Male          99999              0   \n",
       "16038                White   Female           2174              0   \n",
       "16039                White     Male              0              0   \n",
       "16040                White     Male              0              0   \n",
       "16041                Black     Male              0              0   \n",
       "16042                White     Male              0              0   \n",
       "16043                Black     Male              0              0   \n",
       "16044   Amer-Indian-Eskimo     Male              0              0   \n",
       "16045                Black   Female              0              0   \n",
       "16046                White   Female              0              0   \n",
       "16047                White   Female              0           1590   \n",
       "16048                White   Female              0              0   \n",
       "16049   Asian-Pac-Islander     Male              0              0   \n",
       "16050                White     Male              0              0   \n",
       "16051                White   Female              0              0   \n",
       "16052                White     Male              0              0   \n",
       "16053                White   Female              0              0   \n",
       "16054                White   Female              0              0   \n",
       "16055                White     Male              0              0   \n",
       "16056                White     Male              0              0   \n",
       "16057                White   Female           2036              0   \n",
       "16058                White     Male              0              0   \n",
       "16059                White   Female              0              0   \n",
       "16060                White     Male              0              0   \n",
       "16061                White     Male              0              0   \n",
       "16062                White     Male              0              0   \n",
       "16063                White     Male              0              0   \n",
       "16064   Asian-Pac-Islander     Male              0              0   \n",
       "16065                White     Male              0              0   \n",
       "16066                White     Male           7298              0   \n",
       "16067                White   Female              0              0   \n",
       "16068                White     Male          99999              0   \n",
       "16069                White     Male              0              0   \n",
       "16070                Black     Male              0              0   \n",
       "16071                White     Male              0              0   \n",
       "16072                White     Male              0           1564   \n",
       "16073                White     Male              0              0   \n",
       "16074                White     Male              0              0   \n",
       "16075                White   Female              0           2339   \n",
       "16076                White     Male              0              0   \n",
       "16077                White   Female              0              0   \n",
       "16078                White     Male              0              0   \n",
       "16079                White     Male              0              0   \n",
       "16080   Amer-Indian-Eskimo     Male           4101              0   \n",
       "16081                White   Female              0              0   \n",
       "16082                White     Male              0              0   \n",
       "16083                White     Male              0           2472   \n",
       "16084                White     Male              0              0   \n",
       "16085                White     Male              0              0   \n",
       "16086                Black   Female              0              0   \n",
       "16087                White     Male              0              0   \n",
       "16088                White     Male              0              0   \n",
       "16089                White   Female              0              0   \n",
       "16090                Black     Male              0              0   \n",
       "16091                White   Female              0              0   \n",
       "16092                White   Female              0              0   \n",
       "16093                Black   Female              0              0   \n",
       "16094                White     Male              0              0   \n",
       "16095                White   Female              0              0   \n",
       "16096                White   Female              0              0   \n",
       "16097                White     Male              0              0   \n",
       "16098   Asian-Pac-Islander     Male              0              0   \n",
       "16099                Black     Male           5178              0   \n",
       "16100                White     Male              0              0   \n",
       "16101                White     Male              0              0   \n",
       "16102                Black   Female              0              0   \n",
       "16103                White     Male              0              0   \n",
       "16104                White     Male              0              0   \n",
       "16105                White   Female              0              0   \n",
       "16106                White   Female              0              0   \n",
       "16107                White     Male              0              0   \n",
       "16108                White   Female              0              0   \n",
       "16109                White     Male              0              0   \n",
       "16110                White     Male              0           1651   \n",
       "16111                White     Male              0              0   \n",
       "16112                White     Male              0              0   \n",
       "16113                Black   Female              0              0   \n",
       "16114                White     Male              0              0   \n",
       "16115                White     Male              0              0   \n",
       "16116                Black   Female              0              0   \n",
       "16117                White   Female              0              0   \n",
       "16118                White     Male              0              0   \n",
       "16119                White   Female              0              0   \n",
       "16120                White     Male              0              0   \n",
       "16121                White     Male              0              0   \n",
       "16122                White   Female              0              0   \n",
       "16123   Amer-Indian-Eskimo     Male              0              0   \n",
       "16124                White   Female              0              0   \n",
       "16125                White     Male              0              0   \n",
       "16126                White   Female              0              0   \n",
       "16127                White     Male           3908              0   \n",
       "16128                White     Male              0              0   \n",
       "16129                White   Female              0              0   \n",
       "16130                White     Male              0              0   \n",
       "16131                White     Male              0              0   \n",
       "16132                White     Male              0              0   \n",
       "16133                White   Female           2174              0   \n",
       "16134                White     Male              0              0   \n",
       "16135                Black     Male              0              0   \n",
       "16136                Black   Female              0              0   \n",
       "16137                White     Male              0              0   \n",
       "16138                White     Male              0              0   \n",
       "16139                White     Male              0              0   \n",
       "16140                White     Male              0              0   \n",
       "16141                White   Female              0              0   \n",
       "16142                Black     Male           3137              0   \n",
       "16143                White   Female              0              0   \n",
       "16144                White     Male              0              0   \n",
       "16145                White   Female              0              0   \n",
       "16146                White   Female              0              0   \n",
       "16147                White     Male              0              0   \n",
       "16148                White     Male              0              0   \n",
       "16149                White     Male              0              0   \n",
       "16150                White   Female              0              0   \n",
       "16151                White     Male              0              0   \n",
       "16152                White     Male              0              0   \n",
       "16153                White     Male              0              0   \n",
       "16154                White     Male              0              0   \n",
       "16155                White     Male              0              0   \n",
       "16156                White   Female              0              0   \n",
       "16157                White     Male              0              0   \n",
       "16158                White     Male              0           1902   \n",
       "16159                White     Male              0              0   \n",
       "16160                White   Female              0              0   \n",
       "16161                White     Male              0              0   \n",
       "16162                White     Male              0              0   \n",
       "16163                White     Male              0              0   \n",
       "16164                White     Male              0              0   \n",
       "16165                White     Male              0           1902   \n",
       "16166                White   Female              0              0   \n",
       "16167                White     Male              0              0   \n",
       "16168                White     Male              0              0   \n",
       "16169                White   Female              0              0   \n",
       "16170   Asian-Pac-Islander     Male              0              0   \n",
       "16171                White   Female              0           1974   \n",
       "16172                White   Female              0              0   \n",
       "16173                White   Female              0              0   \n",
       "16174                White     Male              0              0   \n",
       "16175                White     Male              0           1902   \n",
       "16176                White   Female              0              0   \n",
       "16177                White     Male              0              0   \n",
       "16178                White     Male              0              0   \n",
       "16179                White     Male              0              0   \n",
       "16180                White   Female              0              0   \n",
       "16181                White     Male              0              0   \n",
       "16182                White     Male              0              0   \n",
       "16183                White   Female              0              0   \n",
       "16184                White     Male           3103              0   \n",
       "16185                White     Male          15024              0   \n",
       "16186                White     Male              0              0   \n",
       "16187                White   Female              0              0   \n",
       "16188                White   Female              0              0   \n",
       "16189                White     Male              0              0   \n",
       "16190   Asian-Pac-Islander     Male              0              0   \n",
       "16191                White     Male              0              0   \n",
       "16192                Black     Male              0              0   \n",
       "16193                White   Female              0              0   \n",
       "16194                White     Male              0              0   \n",
       "16195                White     Male              0              0   \n",
       "16196                White     Male           2829              0   \n",
       "16197                White     Male              0              0   \n",
       "16198                White     Male              0              0   \n",
       "16199                White   Female              0              0   \n",
       "16200                White     Male              0              0   \n",
       "16201                White     Male              0              0   \n",
       "16202                White     Male              0              0   \n",
       "16203   Asian-Pac-Islander   Female              0              0   \n",
       "16204   Asian-Pac-Islander   Female              0              0   \n",
       "16205                White     Male              0              0   \n",
       "16206   Amer-Indian-Eskimo     Male              0              0   \n",
       "16207                White   Female              0              0   \n",
       "16208                White   Female              0              0   \n",
       "16209   Asian-Pac-Islander   Female           4386              0   \n",
       "16210                Black   Female              0              0   \n",
       "16211                White   Female              0              0   \n",
       "16212                White   Female              0              0   \n",
       "16213                Black     Male              0              0   \n",
       "16214                White   Female              0              0   \n",
       "16215                White     Male              0              0   \n",
       "16216   Asian-Pac-Islander   Female              0              0   \n",
       "16217                White     Male              0           1672   \n",
       "16218                White     Male              0              0   \n",
       "16219                White     Male              0              0   \n",
       "16220                White     Male              0              0   \n",
       "16221                White     Male              0              0   \n",
       "16222                White   Female              0           1602   \n",
       "16223                White   Female              0              0   \n",
       "16224                White     Male          27828              0   \n",
       "16225                White   Female              0              0   \n",
       "16226                White     Male              0              0   \n",
       "16227                White     Male              0              0   \n",
       "16228                Black     Male              0              0   \n",
       "16229                White     Male              0              0   \n",
       "16230                White     Male              0              0   \n",
       "16231                White   Female              0              0   \n",
       "16232                Black     Male              0              0   \n",
       "16233                Black     Male              0           2057   \n",
       "16234                White   Female              0              0   \n",
       "16235   Asian-Pac-Islander     Male           2202              0   \n",
       "16236                White     Male              0              0   \n",
       "16237                White     Male              0              0   \n",
       "16238                White   Female              0              0   \n",
       "16239                White     Male              0              0   \n",
       "16240                White     Male           7688              0   \n",
       "16241                White     Male              0           1590   \n",
       "16242                White     Male              0              0   \n",
       "16243                White     Male              0              0   \n",
       "16244                White     Male           5178              0   \n",
       "16245                White     Male              0              0   \n",
       "16246                White     Male              0              0   \n",
       "16247                White     Male              0              0   \n",
       "16248                Black     Male              0              0   \n",
       "16249                White     Male              0              0   \n",
       "16250                White     Male              0              0   \n",
       "16251                White     Male           2936              0   \n",
       "16252                White     Male           7688              0   \n",
       "16253                White   Female              0           1669   \n",
       "16254                White     Male              0              0   \n",
       "16255                White     Male              0           1902   \n",
       "16256                White     Male              0              0   \n",
       "16257                White   Female              0              0   \n",
       "16258                White     Male              0              0   \n",
       "16259                White   Female              0              0   \n",
       "16260                White   Female              0              0   \n",
       "16261                White     Male          15024              0   \n",
       "16262                White     Male              0              0   \n",
       "16263                White     Male              0              0   \n",
       "16264                White     Male              0              0   \n",
       "16265                White   Female              0              0   \n",
       "16266                White   Female              0              0   \n",
       "16267                Black   Female              0              0   \n",
       "16268                White     Male              0              0   \n",
       "16269                White     Male              0              0   \n",
       "16270                White     Male              0              0   \n",
       "16271                White     Male              0              0   \n",
       "16272                White     Male              0              0   \n",
       "16273                White   Female              0              0   \n",
       "16274                White     Male              0              0   \n",
       "16275                White     Male              0              0   \n",
       "16276                White   Female              0              0   \n",
       "16277                Black     Male              0              0   \n",
       "16278                White     Male              0              0   \n",
       "16279   Asian-Pac-Islander     Male           5455              0   \n",
       "16280                White     Male              0              0   \n",
       "\n",
       "        hours-per-week               native-country   Salary  \n",
       "0                   40                United-States    <=50K  \n",
       "1                   13                United-States    <=50K  \n",
       "2                   40                United-States    <=50K  \n",
       "3                   40                United-States    <=50K  \n",
       "4                   40                         Cuba    <=50K  \n",
       "5                   40                United-States    <=50K  \n",
       "6                   16                      Jamaica    <=50K  \n",
       "7                   45                United-States     >50K  \n",
       "8                   50                United-States     >50K  \n",
       "9                   40                United-States     >50K  \n",
       "10                  80                United-States     >50K  \n",
       "11                  40                        India     >50K  \n",
       "12                  30                United-States    <=50K  \n",
       "13                  50                United-States    <=50K  \n",
       "14                  40                          NaN     >50K  \n",
       "15                  45                       Mexico    <=50K  \n",
       "16                  35                United-States    <=50K  \n",
       "17                  40                United-States    <=50K  \n",
       "18                  50                United-States    <=50K  \n",
       "19                  45                United-States     >50K  \n",
       "20                  60                United-States     >50K  \n",
       "21                  20                United-States    <=50K  \n",
       "22                  40                United-States    <=50K  \n",
       "23                  40                United-States    <=50K  \n",
       "24                  40                United-States    <=50K  \n",
       "25                  40                United-States     >50K  \n",
       "26                  40                United-States    <=50K  \n",
       "27                  60                        South     >50K  \n",
       "28                  80                United-States    <=50K  \n",
       "29                  40                United-States    <=50K  \n",
       "30                  52                United-States    <=50K  \n",
       "31                  44                United-States    <=50K  \n",
       "32                  40                United-States    <=50K  \n",
       "33                  40                United-States    <=50K  \n",
       "34                  15                United-States    <=50K  \n",
       "35                  40                  Puerto-Rico    <=50K  \n",
       "36                  40                United-States    <=50K  \n",
       "37                  25                United-States    <=50K  \n",
       "38                  38                          NaN     >50K  \n",
       "39                  40                United-States    <=50K  \n",
       "40                  43                United-States    <=50K  \n",
       "41                  40                United-States    <=50K  \n",
       "42                  50                United-States    <=50K  \n",
       "43                  40                United-States    <=50K  \n",
       "44                  35                United-States    <=50K  \n",
       "45                  40                United-States     >50K  \n",
       "46                  38                United-States    <=50K  \n",
       "47                  40                United-States    <=50K  \n",
       "48                  40                United-States    <=50K  \n",
       "49                  43                United-States    <=50K  \n",
       "50                  40                United-States    <=50K  \n",
       "51                  30                          NaN    <=50K  \n",
       "52                  60                     Honduras     >50K  \n",
       "53                  55                United-States     >50K  \n",
       "54                  60                United-States    <=50K  \n",
       "55                  40                United-States     >50K  \n",
       "56                  40                       Mexico    <=50K  \n",
       "57                  40                  Puerto-Rico    <=50K  \n",
       "58                  48                United-States    <=50K  \n",
       "59                  40                United-States    <=50K  \n",
       "60                  40                United-States    <=50K  \n",
       "61                  40                          NaN    <=50K  \n",
       "62                  40                United-States    <=50K  \n",
       "63                  45                United-States     >50K  \n",
       "64                  58                United-States    <=50K  \n",
       "65                  40                United-States    <=50K  \n",
       "66                  40                United-States    <=50K  \n",
       "67                  40                United-States     >50K  \n",
       "68                  50                United-States     >50K  \n",
       "69                  40                United-States    <=50K  \n",
       "70                  32                United-States    <=50K  \n",
       "71                  40                United-States    <=50K  \n",
       "72                  70                United-States     >50K  \n",
       "73                  40                United-States    <=50K  \n",
       "74                  20                United-States    <=50K  \n",
       "75                  40                       Mexico    <=50K  \n",
       "76                  40                United-States    <=50K  \n",
       "77                   2                United-States    <=50K  \n",
       "78                  22                United-States    <=50K  \n",
       "79                  40                United-States    <=50K  \n",
       "80                  30                United-States    <=50K  \n",
       "81                  40                         Cuba    <=50K  \n",
       "82                  40                United-States    <=50K  \n",
       "83                  48                United-States    <=50K  \n",
       "84                  40                United-States     >50K  \n",
       "85                  35                United-States    <=50K  \n",
       "86                  40                United-States     >50K  \n",
       "87                  50                United-States    <=50K  \n",
       "88                  40                United-States    <=50K  \n",
       "89                  50                United-States     >50K  \n",
       "90                  40                United-States    <=50K  \n",
       "91                  40                United-States    <=50K  \n",
       "92                  25                United-States    <=50K  \n",
       "93                  35                          NaN    <=50K  \n",
       "94                  40                United-States     >50K  \n",
       "95                  50                United-States    <=50K  \n",
       "96                  60                United-States     >50K  \n",
       "97                  48                United-States     >50K  \n",
       "98                  40                      England    <=50K  \n",
       "99                  40                United-States    <=50K  \n",
       "100                 40                United-States     >50K  \n",
       "101                 60                United-States     >50K  \n",
       "102                 50                United-States    <=50K  \n",
       "103                 40                United-States    <=50K  \n",
       "104                 40                United-States    <=50K  \n",
       "105                 40                United-States     >50K  \n",
       "106                 32                United-States    <=50K  \n",
       "107                 40                United-States    <=50K  \n",
       "108                 40                United-States    <=50K  \n",
       "109                 40                United-States    <=50K  \n",
       "110                 40                United-States    <=50K  \n",
       "111                 40                United-States     >50K  \n",
       "112                 50                       Canada     >50K  \n",
       "113                 25                United-States    <=50K  \n",
       "114                 40                United-States    <=50K  \n",
       "115                 50                United-States    <=50K  \n",
       "116                 50                United-States    <=50K  \n",
       "117                 40                United-States     >50K  \n",
       "118                 56                United-States    <=50K  \n",
       "119                 41                United-States    <=50K  \n",
       "120                 40                United-States    <=50K  \n",
       "121                 60                United-States    <=50K  \n",
       "122                 40                      Germany    <=50K  \n",
       "123                 50                United-States     >50K  \n",
       "124                 35                United-States    <=50K  \n",
       "125                 40                United-States     >50K  \n",
       "126                 28                United-States    <=50K  \n",
       "127                 40                United-States     >50K  \n",
       "128                 40                United-States    <=50K  \n",
       "129                 40                United-States    <=50K  \n",
       "130                 60                United-States    <=50K  \n",
       "131                 40                United-States    <=50K  \n",
       "132                 35                United-States    <=50K  \n",
       "133                 50                United-States    <=50K  \n",
       "134                 36                United-States    <=50K  \n",
       "135                 40                         Iran     >50K  \n",
       "136                 60                United-States    <=50K  \n",
       "137                 35                United-States    <=50K  \n",
       "138                 20                United-States    <=50K  \n",
       "139                 40                United-States     >50K  \n",
       "140                 40                United-States    <=50K  \n",
       "141                 40                United-States    <=50K  \n",
       "142                 30                       Mexico    <=50K  \n",
       "143                 40                United-States     >50K  \n",
       "144                 40                United-States    <=50K  \n",
       "145                 30                United-States    <=50K  \n",
       "146                 24                United-States    <=50K  \n",
       "147                 24                United-States    <=50K  \n",
       "148                 40                United-States    <=50K  \n",
       "149                 40                United-States    <=50K  \n",
       "150                 38                       Mexico    <=50K  \n",
       "151                 40                United-States    <=50K  \n",
       "152                 40                  Philippines    <=50K  \n",
       "153                 35                United-States    <=50K  \n",
       "154                 45                United-States     >50K  \n",
       "155                 46                United-States    <=50K  \n",
       "156                 40                United-States    <=50K  \n",
       "157                  2                United-States    <=50K  \n",
       "158                 60                United-States    <=50K  \n",
       "159                 50                United-States    <=50K  \n",
       "160                 20                United-States    <=50K  \n",
       "161                 40                United-States    <=50K  \n",
       "162                 40                United-States    <=50K  \n",
       "163                 40                      England    <=50K  \n",
       "164                 40                United-States     >50K  \n",
       "165                 40                       Mexico    <=50K  \n",
       "166                 42                United-States    <=50K  \n",
       "167                 40                United-States    <=50K  \n",
       "168                 16                United-States    <=50K  \n",
       "169                 20                United-States    <=50K  \n",
       "170                 40                United-States    <=50K  \n",
       "171                 40                United-States    <=50K  \n",
       "172                 40                United-States     >50K  \n",
       "173                 50                United-States    <=50K  \n",
       "174                 40                United-States     >50K  \n",
       "175                 25                United-States    <=50K  \n",
       "176                 40                United-States    <=50K  \n",
       "177                 40                United-States    <=50K  \n",
       "178                 12                United-States    <=50K  \n",
       "179                 65                United-States    <=50K  \n",
       "180                 38                United-States     >50K  \n",
       "181                 40                United-States    <=50K  \n",
       "182                 45                United-States    <=50K  \n",
       "183                 40                       Mexico     >50K  \n",
       "184                 42                United-States     >50K  \n",
       "185                 40                United-States    <=50K  \n",
       "186                 40                United-States    <=50K  \n",
       "187                 50                United-States    <=50K  \n",
       "188                 50                United-States    <=50K  \n",
       "189                  1                United-States     >50K  \n",
       "190                 28                United-States    <=50K  \n",
       "191                 40                United-States    <=50K  \n",
       "192                 40                United-States    <=50K  \n",
       "193                 45                United-States    <=50K  \n",
       "194                 24                United-States    <=50K  \n",
       "195                 40                       Mexico    <=50K  \n",
       "196                 40                United-States    <=50K  \n",
       "197                 55                United-States     >50K  \n",
       "198                 40                United-States     >50K  \n",
       "199                 40                United-States    <=50K  \n",
       "200                 40                United-States    <=50K  \n",
       "201                 40                        Italy    <=50K  \n",
       "202                 50                United-States     >50K  \n",
       "203                 40                United-States    <=50K  \n",
       "204                 35                United-States    <=50K  \n",
       "205                 40                United-States    <=50K  \n",
       "206                 36                United-States     >50K  \n",
       "207                 60                United-States    <=50K  \n",
       "208                 35                United-States     >50K  \n",
       "209                 12                United-States    <=50K  \n",
       "210                 40                United-States    <=50K  \n",
       "211                 40                United-States     >50K  \n",
       "212                 40                United-States    <=50K  \n",
       "213                 40                United-States    <=50K  \n",
       "214                 40                United-States     >50K  \n",
       "215                 60                United-States     >50K  \n",
       "216                 40                United-States    <=50K  \n",
       "217                 50                       Poland    <=50K  \n",
       "218                 55                United-States    <=50K  \n",
       "219                 40                United-States    <=50K  \n",
       "220                 40                United-States    <=50K  \n",
       "221                 40                United-States    <=50K  \n",
       "222                 40                United-States    <=50K  \n",
       "223                 20                United-States    <=50K  \n",
       "224                 35                United-States    <=50K  \n",
       "225                 40                United-States    <=50K  \n",
       "226                 10                United-States    <=50K  \n",
       "227                 50                United-States    <=50K  \n",
       "228                 20                     Columbia    <=50K  \n",
       "229                 40                United-States    <=50K  \n",
       "230                 40                United-States    <=50K  \n",
       "231                 38                United-States    <=50K  \n",
       "232                 42                United-States    <=50K  \n",
       "233                 40                United-States    <=50K  \n",
       "234                 55                United-States     >50K  \n",
       "235                 40                United-States    <=50K  \n",
       "236                 38                United-States    <=50K  \n",
       "237                 50                         Iran     >50K  \n",
       "238                 70                United-States     >50K  \n",
       "239                 40                United-States    <=50K  \n",
       "240                 40                United-States     >50K  \n",
       "241                 20                United-States    <=50K  \n",
       "242                 50                United-States    <=50K  \n",
       "243                 20                United-States    <=50K  \n",
       "244                 40                United-States    <=50K  \n",
       "245                 35                          NaN    <=50K  \n",
       "246                 45                United-States     >50K  \n",
       "247                 34                United-States    <=50K  \n",
       "248                 60                United-States     >50K  \n",
       "249                 40                          NaN    <=50K  \n",
       "...                ...                          ...      ...  \n",
       "16031               24                United-States   <=50K.  \n",
       "16032               40                United-States    >50K.  \n",
       "16033               40                United-States   <=50K.  \n",
       "16034               35                United-States   <=50K.  \n",
       "16035               44                United-States   <=50K.  \n",
       "16036               60                United-States   <=50K.  \n",
       "16037               42                United-States    >50K.  \n",
       "16038               40                United-States   <=50K.  \n",
       "16039               50                United-States   <=50K.  \n",
       "16040               50                United-States    >50K.  \n",
       "16041               43                United-States   <=50K.  \n",
       "16042               25                United-States   <=50K.  \n",
       "16043               40                          NaN   <=50K.  \n",
       "16044               84                United-States   <=50K.  \n",
       "16045               20                United-States   <=50K.  \n",
       "16046               45                United-States   <=50K.  \n",
       "16047               50                United-States   <=50K.  \n",
       "16048               40                United-States   <=50K.  \n",
       "16049               35                      Vietnam   <=50K.  \n",
       "16050               40                United-States   <=50K.  \n",
       "16051                8                United-States   <=50K.  \n",
       "16052               35                United-States    >50K.  \n",
       "16053               35                United-States   <=50K.  \n",
       "16054               40                United-States   <=50K.  \n",
       "16055               50                United-States    >50K.  \n",
       "16056               40                United-States   <=50K.  \n",
       "16057               42                United-States   <=50K.  \n",
       "16058               40                United-States   <=50K.  \n",
       "16059               10                United-States   <=50K.  \n",
       "16060               50                United-States    >50K.  \n",
       "16061               40                United-States    >50K.  \n",
       "16062               60                United-States   <=50K.  \n",
       "16063               40                United-States   <=50K.  \n",
       "16064               60                        South   <=50K.  \n",
       "16065               40                United-States    >50K.  \n",
       "16066               65                United-States    >50K.  \n",
       "16067               36                United-States   <=50K.  \n",
       "16068               84                United-States    >50K.  \n",
       "16069               40                United-States    >50K.  \n",
       "16070               40                United-States   <=50K.  \n",
       "16071               40                United-States   <=50K.  \n",
       "16072               40                United-States    >50K.  \n",
       "16073               50                       Canada    >50K.  \n",
       "16074               60                United-States   <=50K.  \n",
       "16075               50                United-States   <=50K.  \n",
       "16076               50                United-States    >50K.  \n",
       "16077               45                       Mexico   <=50K.  \n",
       "16078               40                United-States   <=50K.  \n",
       "16079               40                United-States    >50K.  \n",
       "16080               40                United-States   <=50K.  \n",
       "16081               55                United-States   <=50K.  \n",
       "16082               55                United-States    >50K.  \n",
       "16083               40                United-States    >50K.  \n",
       "16084               40           Dominican-Republic   <=50K.  \n",
       "16085               40                United-States   <=50K.  \n",
       "16086               20                United-States   <=50K.  \n",
       "16087               40                United-States    >50K.  \n",
       "16088               60                United-States    >50K.  \n",
       "16089               50                United-States   <=50K.  \n",
       "16090               45                          NaN    >50K.  \n",
       "16091               38                United-States   <=50K.  \n",
       "16092               20                United-States   <=50K.  \n",
       "16093               15                United-States   <=50K.  \n",
       "16094               60                United-States   <=50K.  \n",
       "16095               40                United-States   <=50K.  \n",
       "16096               40                United-States   <=50K.  \n",
       "16097               40                United-States    >50K.  \n",
       "16098               50                        India   <=50K.  \n",
       "16099               40                United-States    >50K.  \n",
       "16100               80                United-States   <=50K.  \n",
       "16101               41                United-States    >50K.  \n",
       "16102               40                United-States   <=50K.  \n",
       "16103               75                United-States   <=50K.  \n",
       "16104               55                       Canada   <=50K.  \n",
       "16105               16                United-States   <=50K.  \n",
       "16106               20                United-States   <=50K.  \n",
       "16107               40                United-States    >50K.  \n",
       "16108               45                United-States   <=50K.  \n",
       "16109               40                United-States   <=50K.  \n",
       "16110               40                United-States   <=50K.  \n",
       "16111               40                United-States   <=50K.  \n",
       "16112               35                United-States   <=50K.  \n",
       "16113               48                United-States    >50K.  \n",
       "16114               40                United-States   <=50K.  \n",
       "16115               40                United-States    >50K.  \n",
       "16116               20                United-States   <=50K.  \n",
       "16117               52                United-States   <=50K.  \n",
       "16118               60                United-States   <=50K.  \n",
       "16119               60                United-States   <=50K.  \n",
       "16120               50                United-States    >50K.  \n",
       "16121               14                United-States   <=50K.  \n",
       "16122               20                United-States   <=50K.  \n",
       "16123                8                United-States   <=50K.  \n",
       "16124               38                United-States   <=50K.  \n",
       "16125               40                United-States   <=50K.  \n",
       "16126               40                United-States   <=50K.  \n",
       "16127               72                United-States   <=50K.  \n",
       "16128               65                United-States   <=50K.  \n",
       "16129               36                United-States   <=50K.  \n",
       "16130               40                      Germany   <=50K.  \n",
       "16131               48                United-States   <=50K.  \n",
       "16132               20                United-States   <=50K.  \n",
       "16133               40                United-States   <=50K.  \n",
       "16134               54                United-States    >50K.  \n",
       "16135               40                United-States   <=50K.  \n",
       "16136               40              Trinadad&Tobago   <=50K.  \n",
       "16137               40                United-States   <=50K.  \n",
       "16138               50                United-States   <=50K.  \n",
       "16139               62                United-States   <=50K.  \n",
       "16140               40                United-States    >50K.  \n",
       "16141               37                United-States   <=50K.  \n",
       "16142               40              Trinadad&Tobago   <=50K.  \n",
       "16143               40                United-States   <=50K.  \n",
       "16144               40                United-States   <=50K.  \n",
       "16145               40                United-States   <=50K.  \n",
       "16146               43                United-States   <=50K.  \n",
       "16147               40                United-States   <=50K.  \n",
       "16148               15                United-States   <=50K.  \n",
       "16149               40                United-States   <=50K.  \n",
       "16150               40                United-States   <=50K.  \n",
       "16151               40                United-States   <=50K.  \n",
       "16152               40                United-States   <=50K.  \n",
       "16153               50                United-States    >50K.  \n",
       "16154               40                United-States   <=50K.  \n",
       "16155               45                United-States    >50K.  \n",
       "16156               36                United-States    >50K.  \n",
       "16157               50                United-States    >50K.  \n",
       "16158               50                United-States    >50K.  \n",
       "16159               90                United-States   <=50K.  \n",
       "16160               40                United-States   <=50K.  \n",
       "16161               40                United-States    >50K.  \n",
       "16162               45                United-States    >50K.  \n",
       "16163               60                United-States   <=50K.  \n",
       "16164               40                United-States   <=50K.  \n",
       "16165               65                United-States    >50K.  \n",
       "16166               40                United-States   <=50K.  \n",
       "16167               45                United-States   <=50K.  \n",
       "16168               40                United-States   <=50K.  \n",
       "16169               40                United-States   <=50K.  \n",
       "16170               40                    Guatemala   <=50K.  \n",
       "16171               40                United-States   <=50K.  \n",
       "16172               45                United-States   <=50K.  \n",
       "16173               40                United-States   <=50K.  \n",
       "16174               45                United-States    >50K.  \n",
       "16175               40                United-States    >50K.  \n",
       "16176               35                United-States   <=50K.  \n",
       "16177               20                United-States   <=50K.  \n",
       "16178               48                United-States   <=50K.  \n",
       "16179               40                United-States    >50K.  \n",
       "16180               20                United-States    >50K.  \n",
       "16181               50                United-States    >50K.  \n",
       "16182               45                        Japan   <=50K.  \n",
       "16183               15                United-States   <=50K.  \n",
       "16184               40                United-States    >50K.  \n",
       "16185               60                United-States    >50K.  \n",
       "16186               40                United-States   <=50K.  \n",
       "16187               65                United-States   <=50K.  \n",
       "16188               45                United-States   <=50K.  \n",
       "16189               30                United-States   <=50K.  \n",
       "16190               38                        India   <=50K.  \n",
       "16191               40                United-States   <=50K.  \n",
       "16192               40                United-States   <=50K.  \n",
       "16193               40                United-States   <=50K.  \n",
       "16194               40                United-States    >50K.  \n",
       "16195               35                United-States   <=50K.  \n",
       "16196               40                United-States   <=50K.  \n",
       "16197               40                United-States   <=50K.  \n",
       "16198               40                United-States   <=50K.  \n",
       "16199               40                United-States   <=50K.  \n",
       "16200               10                United-States   <=50K.  \n",
       "16201               45                United-States   <=50K.  \n",
       "16202               60                United-States   <=50K.  \n",
       "16203               40                      Vietnam   <=50K.  \n",
       "16204               40   Outlying-US(Guam-USVI-etc)   <=50K.  \n",
       "16205               44                United-States    >50K.  \n",
       "16206               40                United-States   <=50K.  \n",
       "16207               40                United-States   <=50K.  \n",
       "16208               30                United-States   <=50K.  \n",
       "16209               45                United-States    >50K.  \n",
       "16210               40                United-States   <=50K.  \n",
       "16211               52                United-States   <=50K.  \n",
       "16212               20                United-States   <=50K.  \n",
       "16213               40                United-States   <=50K.  \n",
       "16214               40                United-States   <=50K.  \n",
       "16215               60                United-States    >50K.  \n",
       "16216               15                United-States   <=50K.  \n",
       "16217               48                United-States   <=50K.  \n",
       "16218               50                United-States    >50K.  \n",
       "16219               36                United-States   <=50K.  \n",
       "16220               20                United-States   <=50K.  \n",
       "16221               60                United-States   <=50K.  \n",
       "16222               20                United-States   <=50K.  \n",
       "16223               35                United-States   <=50K.  \n",
       "16224               16                United-States    >50K.  \n",
       "16225               40                         Peru    >50K.  \n",
       "16226               20                United-States   <=50K.  \n",
       "16227               40                United-States   <=50K.  \n",
       "16228               40                United-States    >50K.  \n",
       "16229               48                United-States   <=50K.  \n",
       "16230               40                United-States   <=50K.  \n",
       "16231               40                United-States    >50K.  \n",
       "16232               50                United-States   <=50K.  \n",
       "16233               40                United-States   <=50K.  \n",
       "16234               34                United-States   <=50K.  \n",
       "16235               52                  Philippines   <=50K.  \n",
       "16236               40                United-States   <=50K.  \n",
       "16237               80                United-States    >50K.  \n",
       "16238               30                United-States   <=50K.  \n",
       "16239               25                       Canada   <=50K.  \n",
       "16240               60                United-States    >50K.  \n",
       "16241               40                United-States   <=50K.  \n",
       "16242               42                United-States   <=50K.  \n",
       "16243               50                United-States   <=50K.  \n",
       "16244               60                United-States    >50K.  \n",
       "16245               40                United-States    >50K.  \n",
       "16246               20                United-States   <=50K.  \n",
       "16247               40                       Mexico   <=50K.  \n",
       "16248               40                United-States   <=50K.  \n",
       "16249               40                United-States   <=50K.  \n",
       "16250               40                       Canada    >50K.  \n",
       "16251               20                United-States   <=50K.  \n",
       "16252               40                United-States    >50K.  \n",
       "16253               40                United-States   <=50K.  \n",
       "16254               50                United-States    >50K.  \n",
       "16255               50                United-States    >50K.  \n",
       "16256               40                United-States   <=50K.  \n",
       "16257               40                United-States   <=50K.  \n",
       "16258               40                United-States   <=50K.  \n",
       "16259                8                United-States   <=50K.  \n",
       "16260               45                United-States   <=50K.  \n",
       "16261               55                United-States    >50K.  \n",
       "16262               40                United-States   <=50K.  \n",
       "16263               40                United-States   <=50K.  \n",
       "16264               32                United-States   <=50K.  \n",
       "16265               40                          NaN    >50K.  \n",
       "16266               32                United-States   <=50K.  \n",
       "16267               40                United-States   <=50K.  \n",
       "16268               36                United-States   <=50K.  \n",
       "16269               40                United-States   <=50K.  \n",
       "16270               40                United-States   <=50K.  \n",
       "16271               48                United-States   <=50K.  \n",
       "16272               40                United-States   <=50K.  \n",
       "16273               40                United-States   <=50K.  \n",
       "16274               40                United-States   <=50K.  \n",
       "16275               40                United-States   <=50K.  \n",
       "16276               36                United-States   <=50K.  \n",
       "16277               40                United-States   <=50K.  \n",
       "16278               50                United-States   <=50K.  \n",
       "16279               40                United-States   <=50K.  \n",
       "16280               60                United-States    >50K.  \n",
       "\n",
       "[48842 rows x 15 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count      48842\n",
       "unique         4\n",
       "top        <=50K\n",
       "freq       24720\n",
       "Name:  Salary, dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged[\" Salary\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([' <=50K', ' >50K', ' <=50K.', ' >50K.'], dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged[\" Salary\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#replacing 1 for salary greater than 50k and 0 for salary lesser than 50k\n",
    "ds_merged[\" Salary\"] = ds_merged[\" Salary\"].replace([' <=50K', ' >50K', ' <=50K.', ' >50K.'],[1, 0, 1, 0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    48842.000000\n",
       "mean         0.760718\n",
       "std          0.426649\n",
       "min          0.000000\n",
       "25%          1.000000\n",
       "50%          1.000000\n",
       "75%          1.000000\n",
       "max          1.000000\n",
       "Name:  Salary, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged[\" Salary\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    4.884200e+04\n",
       "mean     1.896641e+05\n",
       "std      1.056040e+05\n",
       "min      1.228500e+04\n",
       "25%      1.175505e+05\n",
       "50%      1.781445e+05\n",
       "75%      2.376420e+05\n",
       "max      1.490400e+06\n",
       "Name:  fnlwgt, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged[\" fnlwgt\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    48842.000000\n",
       "mean      1079.067626\n",
       "std       7452.019058\n",
       "min          0.000000\n",
       "25%          0.000000\n",
       "50%          0.000000\n",
       "75%          0.000000\n",
       "max      99999.000000\n",
       "Name:  capital-gain, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged[\" capital-gain\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    48842.000000\n",
       "mean        87.502314\n",
       "std        403.004552\n",
       "min          0.000000\n",
       "25%          0.000000\n",
       "50%          0.000000\n",
       "75%          0.000000\n",
       "max       4356.000000\n",
       "Name:  capital-loss, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged[\" capital-loss\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_merged[\" fnlwgt\"] = (ds_merged[\" fnlwgt\"] - ds_merged[\" fnlwgt\"].mean()) / ds_merged[\" fnlwgt\"].std()\n",
    "ds_merged[\" capital-loss\"] = ds_merged[\" capital-loss\"] / ds_merged[\" capital-loss\"].max()\n",
    "ds_merged[\" capital-gain\"] = ds_merged[\" capital-gain\"] / ds_merged[\" capital-gain\"].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age                   0\n",
       " workclass         2799\n",
       " fnlwgt               0\n",
       " education            0\n",
       " education-num        0\n",
       " marital-status       0\n",
       " occupation        2809\n",
       " relationship         0\n",
       " race                 0\n",
       " sex                  0\n",
       " capital-gain         0\n",
       " capital-loss         0\n",
       " hours-per-week       0\n",
       " native-country     857\n",
       " Salary               0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count        46043\n",
       "unique           8\n",
       "top        Private\n",
       "freq         33906\n",
       "Name:  workclass, dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged[\" workclass\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count               46033\n",
       "unique                 14\n",
       "top        Prof-specialty\n",
       "freq                 6172\n",
       "Name:  occupation, dtype: object"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged[\" occupation\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count              47985\n",
       "unique                41\n",
       "top        United-States\n",
       "freq               43832\n",
       "Name:  native-country, dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged[\" native-country\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Lets  make two copies of the data frame where one data frame contains the data with rows with nan removes\n",
    "# the other contains the data with the top results replaced with nan\n",
    "ds_merged_with_nan = ds_merged.copy()\n",
    "ds_merged_with_out_nan = ds_merged.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_merged_with_nan[\" workclass\"].fillna('Private', inplace=True)\n",
    "ds_merged_with_nan[\" occupation\"].fillna('Prof-specialty', inplace=True)\n",
    "ds_merged_with_nan[\" native-country\"].fillna('United-States', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_merged_with_out_nan = ds_merged_with_out_nan.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# One Hot encoding for the datas with strings\n",
    "ds_merged_with_nan = pd.concat([ds_merged_with_nan[[\"age\",\" fnlwgt\", \" education-num\", \" capital-gain\", \" capital-loss\", \" hours-per-week\", \" Salary\"]],\n",
    "                               pd.get_dummies(ds_merged_with_nan[\" workclass\"], drop_first = True),\n",
    "                               pd.get_dummies(ds_merged_with_nan[\" education\"], drop_first = True),\n",
    "                               pd.get_dummies(ds_merged_with_nan[\" marital-status\"], drop_first = True),\n",
    "                               pd.get_dummies(ds_merged_with_nan[\" occupation\"], drop_first = True),\n",
    "                               pd.get_dummies(ds_merged_with_nan[\" relationship\"], drop_first = True),\n",
    "                               pd.get_dummies(ds_merged_with_nan[\" sex\"], drop_first = True),\n",
    "                               pd.get_dummies(ds_merged_with_nan[\" native-country\"], drop_first = True)],axis=1)\n",
    "\n",
    "ds_merged_with_out_nan = pd.concat([ds_merged_with_out_nan[[\"age\",\" fnlwgt\", \" education-num\", \" capital-gain\", \" capital-loss\", \" hours-per-week\", \" Salary\"]],\n",
    "                               pd.get_dummies(ds_merged_with_out_nan[\" workclass\"], drop_first = True),\n",
    "                               pd.get_dummies(ds_merged_with_out_nan[\" education\"], drop_first = True),\n",
    "                               pd.get_dummies(ds_merged_with_out_nan[\" marital-status\"], drop_first = True),\n",
    "                               pd.get_dummies(ds_merged_with_out_nan[\" occupation\"], drop_first = True),\n",
    "                               pd.get_dummies(ds_merged_with_out_nan[\" relationship\"], drop_first = True),\n",
    "                               pd.get_dummies(ds_merged_with_out_nan[\" sex\"], drop_first = True),\n",
    "                               pd.get_dummies(ds_merged_with_out_nan[\" native-country\"], drop_first = True)],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45222, 93)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged_with_out_nan.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(48842, 97)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_merged_with_nan.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "from itertools import combinations\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "\n",
    "def add_interactions(df, n_pair):\n",
    "    combos = list(combinations(list(df.columns), n_pair))\n",
    "    colnames = list(df.columns)+['_'.join(x) for x in combos]\n",
    "    \n",
    "    #scaler = MinMaxScaler()\n",
    "    #scaler.fit(df)\n",
    "    #df = scaler.transform(df)\n",
    "    \n",
    "    poly = PolynomialFeatures(interaction_only=True, include_bias=False)\n",
    "    df = poly.fit_transform(df)\n",
    "    df = pd.DataFrame(df)\n",
    "    df.columns = colnames\n",
    "    \n",
    "    noint_indices = [i for i,x in enumerate(list((df==0).all())) if x]\n",
    "    df= df.drop(df.columns[noint_indices], axis=1)\n",
    "    \n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "###Generating all possible pair of interactions between 2 pair of columns.\n",
    "##Then removing those columns \n",
    "\n",
    "\n",
    "Y_WN = ds_merged_with_nan[\" Salary\"].copy()\n",
    "X_WN = ds_merged_with_nan.drop([\" Salary\"],1)\n",
    "\n",
    "#X_WN_I = add_interactions(X_WN, 2)\n",
    "#X_WN_I.shape\n",
    "\n",
    "#Running the algorithm with the interactions does not yeild any good improvement over than using the standard dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y_WON = ds_merged_with_out_nan[\" Salary\"].copy()\n",
    "X_WON = ds_merged_with_out_nan.drop([\" Salary\"],1)\n",
    "\n",
    "#X_WON_I = add_interactions(X_WON, 2)\n",
    "#X_WON_I.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_WN.index = Y_WN.index\n",
    "X_WN['Salary'] = Y_WN\n",
    "\n",
    "X_WN_validation = X_WN[32561:]\n",
    "X_WN = X_WN[0:32561]\n",
    "\n",
    "Y_WN = X_WN['Salary'].copy()\n",
    "Y_WN_validation = X_WN_validation['Salary'].copy()\n",
    "X_WN = X_WN.drop(['Salary'],1)\n",
    "X_WN_validation = X_WN_validation.drop(['Salary'],1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_WON.index = Y_WON.index\n",
    "X_WON['Salary'] = Y_WON\n",
    "\n",
    "X_WON_validation = X_WON[32561:]\n",
    "X_WON = X_WON[0:32561]\n",
    "\n",
    "Y_WON = X_WON['Salary'].copy()\n",
    "Y_WON_validation = X_WON_validation['Salary'].copy()\n",
    "X_WON = X_WON.drop(['Salary'],1)\n",
    "X_WON_validation = X_WON_validation.drop(['Salary'],1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "models = []\n",
    "\n",
    "models.append(('LR', LogisticRegression()))\n",
    "models.append(('LDA', LinearDiscriminantAnalysis()))\n",
    "models.append(('KNN', KNeighborsClassifier()))\n",
    "models.append(('CART', DecisionTreeClassifier()))\n",
    "models.append(('NB', GaussianNB()))\n",
    "models.append(('SVM', SVC()))\n",
    "models.append(('XGB', XGBClassifier()))\n",
    "models.append(('MLP', MLPClassifier()))\n",
    "\n",
    "seed = 7\n",
    "results = []\n",
    "names = []\n",
    "scoring = 'accuracy'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LR: 0.850373 (0.005856)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\discriminant_analysis.py:388: UserWarning: Variables are collinear.\n",
      "  warnings.warn(\"Variables are collinear.\")\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\discriminant_analysis.py:388: UserWarning: Variables are collinear.\n",
      "  warnings.warn(\"Variables are collinear.\")\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\discriminant_analysis.py:388: UserWarning: Variables are collinear.\n",
      "  warnings.warn(\"Variables are collinear.\")\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\discriminant_analysis.py:388: UserWarning: Variables are collinear.\n",
      "  warnings.warn(\"Variables are collinear.\")\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\discriminant_analysis.py:388: UserWarning: Variables are collinear.\n",
      "  warnings.warn(\"Variables are collinear.\")\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\discriminant_analysis.py:388: UserWarning: Variables are collinear.\n",
      "  warnings.warn(\"Variables are collinear.\")\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\discriminant_analysis.py:388: UserWarning: Variables are collinear.\n",
      "  warnings.warn(\"Variables are collinear.\")\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\discriminant_analysis.py:388: UserWarning: Variables are collinear.\n",
      "  warnings.warn(\"Variables are collinear.\")\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\discriminant_analysis.py:388: UserWarning: Variables are collinear.\n",
      "  warnings.warn(\"Variables are collinear.\")\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\discriminant_analysis.py:388: UserWarning: Variables are collinear.\n",
      "  warnings.warn(\"Variables are collinear.\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDA: 0.841313 (0.005375)\n",
      "KNN: 0.802954 (0.005639)\n",
      "CART: 0.816253 (0.004820)\n",
      "NB: 0.575413 (0.007261)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n",
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SVM: 0.834066 (0.005906)\n",
      "XGB: 0.864470 (0.004410)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\nikhi\\Anaconda3\\lib\\site-packages\\sklearn\\neural_network\\multilayer_perceptron.py:562: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
      "  % self.max_iter, ConvergenceWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MLP: 0.852922 (0.005144)\n"
     ]
    }
   ],
   "source": [
    "#For without interactions\n",
    "for name, model in models:\n",
    "    kfold = model_selection.KFold(n_splits=10, random_state=seed)\n",
    "    cv_results = model_selection.cross_val_score(model, X_WN, Y_WN, cv=kfold, scoring=scoring)\n",
    "    results.append(cv_results)\n",
    "    names.append(name)\n",
    "    msg = \"%s: %f (%f)\" % (name, cv_results.mean(), cv_results.std())\n",
    "    print(msg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "fig.suptitle('Algorithm Comparison')\n",
    "ax = fig.add_subplot(111)\n",
    "plt.boxplot(results)\n",
    "ax.set_xticklabels(names)\n",
    "ax.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 2min 15s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# As XGBClassifier does better with this data lets train the data with XGB Classifier\n",
    "\n",
    "###Hypertune the model intensively with a 10 fold cross validation strategy.\n",
    "##first grid search for max_depth,min_child_weight then fix those and search for rest in same fashion\n",
    "### parameter scale_pos_weight is quite important in case of imbalanced dataset\n",
    "\n",
    "param_test= {'min_child_weight':[5],\n",
    "          'max_depth': [10],\n",
    "          'n_estimators':[150],\n",
    "          'scale_pos_weight':[1],\n",
    "          'colsample_bytree':[0.8], \n",
    "          'subsample':[0.8],\n",
    "          'gamma':[0]}\n",
    "param_test2 = {\n",
    "  'min_child_weight':[5,6],\n",
    "  'max_depth': range(3,10,2),\n",
    "  'n_estimators':[150,200,300,400],\n",
    "  'scale_pos_weight':[1,2,3,4],\n",
    "  'colsample_bytree':[0.7,0.8], \n",
    "  'subsample':[0.7,0.8],\n",
    "  'gamma':[0,0.2,0.4]}\n",
    "\n",
    "\n",
    "gsearch2b = GridSearchCV(XGBClassifier(), param_test, scoring='accuracy',n_jobs=4,iid=False, cv=10, refit=True)\n",
    "\n",
    "## use the refit params to get the \n",
    "gsearch2b.fit(X_WN, Y_WN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gsearch2b.best_params_ {'colsample_bytree': 0.8, 'gamma': 0, 'max_depth': 10, 'min_child_weight': 5, 'n_estimators': 150, 'scale_pos_weight': 1, 'subsample': 0.8}\n",
      "gsearch2b.best_score_ 0.8710113974889842\n"
     ]
    }
   ],
   "source": [
    "#print(gsearch2b.cv_results_)\n",
    "print(\"gsearch2b.best_params_\",gsearch2b.best_params_)\n",
    "print(\"gsearch2b.best_score_\",gsearch2b.best_score_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 10.5 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "modelXg = XGBClassifier(learning_rate=0.1, n_estimators=150, max_depth=10, min_child_weight=5, \n",
    "                      gamma=0,nthread=4, subsample=0.8, colsample_bytree=0.8, objective= 'binary:logistic',scale_pos_weight=1,seed=29)\n",
    "modelXg.fit(X_WN, Y_WN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 146 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "Y_WN_xg = modelXg.predict(X_WN_validation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 2502  1344]\n",
      " [  765 11670]]\n",
      "Accuracy_score: 87.05% on Validation dataset\n"
     ]
    }
   ],
   "source": [
    "print(confusion_matrix(Y_WN_validation, Y_WN_xg))\n",
    "predictions = [value for value in Y_WN_xg]\n",
    "accuracy = accuracy_score(Y_WN_validation, predictions)\n",
    "print(\"Accuracy_score: %.2f%% on Validation dataset\" % (accuracy * 100.0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error in prediction: 12.95% on Validation dataset\n"
     ]
    }
   ],
   "source": [
    "error = (1 - accuracy)\n",
    "print(\"Error in prediction: %.2f%% on Validation dataset\" % (error * 100.0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
       "       colsample_bytree=0.8, gamma=0, learning_rate=0.1, max_delta_step=0,\n",
       "       max_depth=10, min_child_weight=5, missing=None, n_estimators=150,\n",
       "       n_jobs=1, nthread=4, objective='binary:logistic', random_state=0,\n",
       "       reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=29, silent=True,\n",
       "       subsample=0.8)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "modelXg = XGBClassifier(learning_rate=0.1, n_estimators=150, max_depth=10, min_child_weight=5, \n",
    "                      gamma=0,nthread=4, subsample=0.8, colsample_bytree=0.8, objective= 'binary:logistic',scale_pos_weight=1,seed=29)\n",
    "modelXg.fit(X_WON, Y_WON)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y_WON_xg = modelXg.predict(X_WON_validation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[2019 1081]\n",
      " [ 605 8956]]\n",
      "Accuracy_score: 86.68% on Validation dataset\n"
     ]
    }
   ],
   "source": [
    "print(confusion_matrix(Y_WON_validation, Y_WON_xg))\n",
    "predictions = [value for value in Y_WON_xg]\n",
    "accuracy = accuracy_score(Y_WON_validation, predictions)\n",
    "print(\"Accuracy_score: %.2f%% on Validation dataset\" % (accuracy * 100.0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error in prediction: 13.32% on Validation dataset\n"
     ]
    }
   ],
   "source": [
    "error = (1 - accuracy)\n",
    "print(\"Error in prediction: %.2f%% on Validation dataset\" % (error * 100.0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The model with the nan's replaced by the average or the most freqquent occurance yeilds a better accuracy compared to removing the nan's.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Following was the error rate that were reported along with the dataset Using MLC++"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Following algorithms were later run with the following error rates,\n",
    "all after removal of unknowns and using the original train/test split.\n",
    "All these numbers are straight runs using MLC++ with default values.\n",
    "\n",
    "    Algorithm               Error\n",
    "    C4.5                    15.54\n",
    "    C4.5-auto               14.46\n",
    "    C4.5 rules              14.94\n",
    "    Voted ID3 (0.6)         15.64\n",
    "    Voted ID3 (0.8)         16.47\n",
    "    T2                      16.84\n",
    "    1R                      19.54\n",
    "    NBTree                  14.10\n",
    "    CN2                     16.00\n",
    "    HOODG                   14.82\n",
    "    FSS Naive Bayes         14.05\n",
    "    IDTM (Decision table)   14.46\n",
    "    Naive-Bayes             16.12\n",
    "    Nearest-neighbor (1)    21.42\n",
    "    Nearest-neighbor (3)    20.35\n",
    "    OC1                     15.04\n",
    "    Pebls                   Crashed.  Unknown why (bounds WERE increased)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### The best error that was obtained on the validation data Using the XGB Classifier is 12.95%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "language": "python",
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    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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