diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb
index 28d4df017..6440d9b8f 100644
--- a/02_activities/assignments/assignment_1.ipynb
+++ b/02_activities/assignments/assignment_1.ipynb
@@ -34,7 +34,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 60,
    "id": "4a3485d6-ba58-4660-a983-5680821c5719",
    "metadata": {},
    "outputs": [],
@@ -56,10 +56,1224 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 61,
    "id": "a431d282-f9ca-4d5d-8912-71ffc9d8ea19",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
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+         "type": "float"
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+         "type": "float"
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+        {
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+         "rawType": "float64",
+         "type": "float"
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+       "shape": {
+        "columns": 14,
+        "rows": 178
+       }
+      },
+      "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>alcohol</th>\n",
+       "      <th>malic_acid</th>\n",
+       "      <th>ash</th>\n",
+       "      <th>alcalinity_of_ash</th>\n",
+       "      <th>magnesium</th>\n",
+       "      <th>total_phenols</th>\n",
+       "      <th>flavanoids</th>\n",
+       "      <th>nonflavanoid_phenols</th>\n",
+       "      <th>proanthocyanins</th>\n",
+       "      <th>color_intensity</th>\n",
+       "      <th>hue</th>\n",
+       "      <th>od280/od315_of_diluted_wines</th>\n",
+       "      <th>proline</th>\n",
+       "      <th>class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>14.23</td>\n",
+       "      <td>1.71</td>\n",
+       "      <td>2.43</td>\n",
+       "      <td>15.6</td>\n",
+       "      <td>127.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>3.06</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>2.29</td>\n",
+       "      <td>5.64</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>3.92</td>\n",
+       "      <td>1065.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>13.20</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>11.2</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>2.76</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>4.38</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>1050.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>13.16</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>18.6</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>3.24</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>2.81</td>\n",
+       "      <td>5.68</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>3.17</td>\n",
+       "      <td>1185.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>14.37</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>2.50</td>\n",
+       "      <td>16.8</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>3.85</td>\n",
+       "      <td>3.49</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>2.18</td>\n",
+       "      <td>7.80</td>\n",
+       "      <td>0.86</td>\n",
+       "      <td>3.45</td>\n",
+       "      <td>1480.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>13.24</td>\n",
+       "      <td>2.59</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>118.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>4.32</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>735.0</td>\n",
+       "      <td>0</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>173</th>\n",
+       "      <td>13.71</td>\n",
+       "      <td>5.65</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>95.0</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>7.70</td>\n",
+       "      <td>0.64</td>\n",
+       "      <td>1.74</td>\n",
+       "      <td>740.0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>174</th>\n",
+       "      <td>13.40</td>\n",
+       "      <td>3.91</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>102.0</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>0.75</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>1.41</td>\n",
+       "      <td>7.30</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>750.0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>175</th>\n",
+       "      <td>13.27</td>\n",
+       "      <td>4.28</td>\n",
+       "      <td>2.26</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>1.59</td>\n",
+       "      <td>0.69</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>10.20</td>\n",
+       "      <td>0.59</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>835.0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>176</th>\n",
+       "      <td>13.17</td>\n",
+       "      <td>2.59</td>\n",
+       "      <td>2.37</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>0.68</td>\n",
+       "      <td>0.53</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>9.30</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>840.0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>177</th>\n",
+       "      <td>14.13</td>\n",
+       "      <td>4.10</td>\n",
+       "      <td>2.74</td>\n",
+       "      <td>24.5</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>0.76</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>9.20</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>560.0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>178 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     alcohol  malic_acid   ash  alcalinity_of_ash  magnesium  total_phenols  \\\n",
+       "0      14.23        1.71  2.43               15.6      127.0           2.80   \n",
+       "1      13.20        1.78  2.14               11.2      100.0           2.65   \n",
+       "2      13.16        2.36  2.67               18.6      101.0           2.80   \n",
+       "3      14.37        1.95  2.50               16.8      113.0           3.85   \n",
+       "4      13.24        2.59  2.87               21.0      118.0           2.80   \n",
+       "..       ...         ...   ...                ...        ...            ...   \n",
+       "173    13.71        5.65  2.45               20.5       95.0           1.68   \n",
+       "174    13.40        3.91  2.48               23.0      102.0           1.80   \n",
+       "175    13.27        4.28  2.26               20.0      120.0           1.59   \n",
+       "176    13.17        2.59  2.37               20.0      120.0           1.65   \n",
+       "177    14.13        4.10  2.74               24.5       96.0           2.05   \n",
+       "\n",
+       "     flavanoids  nonflavanoid_phenols  proanthocyanins  color_intensity   hue  \\\n",
+       "0          3.06                  0.28             2.29             5.64  1.04   \n",
+       "1          2.76                  0.26             1.28             4.38  1.05   \n",
+       "2          3.24                  0.30             2.81             5.68  1.03   \n",
+       "3          3.49                  0.24             2.18             7.80  0.86   \n",
+       "4          2.69                  0.39             1.82             4.32  1.04   \n",
+       "..          ...                   ...              ...              ...   ...   \n",
+       "173        0.61                  0.52             1.06             7.70  0.64   \n",
+       "174        0.75                  0.43             1.41             7.30  0.70   \n",
+       "175        0.69                  0.43             1.35            10.20  0.59   \n",
+       "176        0.68                  0.53             1.46             9.30  0.60   \n",
+       "177        0.76                  0.56             1.35             9.20  0.61   \n",
+       "\n",
+       "     od280/od315_of_diluted_wines  proline  class  \n",
+       "0                            3.92   1065.0      0  \n",
+       "1                            3.40   1050.0      0  \n",
+       "2                            3.17   1185.0      0  \n",
+       "3                            3.45   1480.0      0  \n",
+       "4                            2.93    735.0      0  \n",
+       "..                            ...      ...    ...  \n",
+       "173                          1.74    740.0      2  \n",
+       "174                          1.56    750.0      2  \n",
+       "175                          1.56    835.0      2  \n",
+       "176                          1.62    840.0      2  \n",
+       "177                          1.60    560.0      2  \n",
+       "\n",
+       "[178 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "from sklearn.datasets import load_wine\n",
     "\n",
@@ -76,6 +1290,55 @@
     "wine_df\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "69a60cc1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 178 entries, 0 to 177\n",
+      "Data columns (total 14 columns):\n",
+      " #   Column                        Non-Null Count  Dtype  \n",
+      "---  ------                        --------------  -----  \n",
+      " 0   alcohol                       178 non-null    float64\n",
+      " 1   malic_acid                    178 non-null    float64\n",
+      " 2   ash                           178 non-null    float64\n",
+      " 3   alcalinity_of_ash             178 non-null    float64\n",
+      " 4   magnesium                     178 non-null    float64\n",
+      " 5   total_phenols                 178 non-null    float64\n",
+      " 6   flavanoids                    178 non-null    float64\n",
+      " 7   nonflavanoid_phenols          178 non-null    float64\n",
+      " 8   proanthocyanins               178 non-null    float64\n",
+      " 9   color_intensity               178 non-null    float64\n",
+      " 10  hue                           178 non-null    float64\n",
+      " 11  od280/od315_of_diluted_wines  178 non-null    float64\n",
+      " 12  proline                       178 non-null    float64\n",
+      " 13  class                         178 non-null    int64  \n",
+      "dtypes: float64(13), int64(1)\n",
+      "memory usage: 19.6 KB\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "array([0, 1, 2])"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wine_df.info()\n",
+    "wine_df['class'].unique()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "721b2b17",
@@ -91,12 +1354,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 63,
    "id": "56916892",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dataset contains:  178 rows\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your answer here"
+    "# Your answer here\n",
+    "# 178 rows x 14 cols\n",
+    "len(wine_df) #178 rows\n",
+    "print(\"Dataset contains: \",len(wine_df), \"rows\")"
    ]
   },
   {
@@ -109,12 +1383,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 64,
    "id": "df0ef103",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dataset contains:  14 columns\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your answer here"
+    "# Your answer here\n",
+    "# 178 rows x 14 cols\n",
+    "#len(wine_df.columns) #14 columns\n",
+    "print(\"Dataset contains: \",len(wine_df.columns), \"columns\")"
    ]
   },
   {
@@ -127,12 +1412,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 65,
    "id": "47989426",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.series.Series'>\n",
+      "RangeIndex: 178 entries, 0 to 177\n",
+      "Series name: class\n",
+      "Non-Null Count  Dtype\n",
+      "--------------  -----\n",
+      "178 non-null    int64\n",
+      "dtypes: int64(1)\n",
+      "memory usage: 1.5 KB\n",
+      "'variable type' of the response variable `class` : Categorical \n",
+      "'levels' (unique values) of the variable: 0,1 & 2\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your answer here"
+    "# Your answer here\n",
+    "wine_df[\"class\"].info() # non-null int64 dtypes: int64(1)\n",
+    "wine_df[\"class\"].unique() # array([0, 1, 2])\n",
+    "print(\"'variable type' of the response variable `class` : Categorical \")\n",
+    "print(\"'levels' (unique values) of the variable: 0,1 & 2\")"
    ]
   },
   {
@@ -146,12 +1452,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 66,
    "id": "bd7b0910",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['alcalinity_of_ash', 'alcohol', 'ash', 'color_intensity', 'flavanoids',\n",
+      "       'hue', 'magnesium', 'malic_acid', 'nonflavanoid_phenols',\n",
+      "       'od280/od315_of_diluted_wines', 'proanthocyanins', 'proline',\n",
+      "       'total_phenols'],\n",
+      "      dtype='object')\n",
+      "We have  13 predictor variables\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your answer here"
+    "# Your answer here\n",
+    "print(wine_df.columns.difference(['class']))\n",
+    "print(\"We have \",len(wine_df.columns.difference(['class'])), \"predictor variables\")"
    ]
   },
   {
@@ -175,10 +1496,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 67,
    "id": "cc899b59",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "    alcohol  malic_acid       ash  alcalinity_of_ash  magnesium  \\\n",
+      "0  1.518613   -0.562250  0.232053          -1.169593   1.913905   \n",
+      "1  0.246290   -0.499413 -0.827996          -2.490847   0.018145   \n",
+      "2  0.196879    0.021231  1.109334          -0.268738   0.088358   \n",
+      "3  1.691550   -0.346811  0.487926          -0.809251   0.930918   \n",
+      "4  0.295700    0.227694  1.840403           0.451946   1.281985   \n",
+      "\n",
+      "   total_phenols  flavanoids  nonflavanoid_phenols  proanthocyanins  \\\n",
+      "0       0.808997    1.034819             -0.659563         1.224884   \n",
+      "1       0.568648    0.733629             -0.820719        -0.544721   \n",
+      "2       0.808997    1.215533             -0.498407         2.135968   \n",
+      "3       2.491446    1.466525             -0.981875         1.032155   \n",
+      "4       0.808997    0.663351              0.226796         0.401404   \n",
+      "\n",
+      "   color_intensity       hue  od280/od315_of_diluted_wines   proline  \n",
+      "0         0.251717  0.362177                      1.847920  1.013009  \n",
+      "1        -0.293321  0.406051                      1.113449  0.965242  \n",
+      "2         0.269020  0.318304                      0.788587  1.395148  \n",
+      "3         1.186068 -0.427544                      1.184071  2.334574  \n",
+      "4        -0.319276  0.362177                      0.449601 -0.037874  \n"
+     ]
+    }
+   ],
    "source": [
     "# Select predictors (excluding the last column)\n",
     "predictors = wine_df.iloc[:, :-1]\n",
@@ -204,7 +1552,10 @@
    "id": "403ef0bb",
    "metadata": {},
    "source": [
-    "> Your answer here..."
+    "It is important to standardize the predictor variables as \n",
+    "1. It has direct impact on prediction.\n",
+    "2. We scale our variables to avoid model overvaluing variables on a larger scale or undervaluing variables that are on smaller scale.\n",
+    "3. We scale & centre our variables to make sure each variable contributes equally to the prediction calculation as even small scale variables might be as meaningful or even more meaningful to the accuracy precision in predictions."
    ]
   },
   {
@@ -220,7 +1571,7 @@
    "id": "fdee5a15",
    "metadata": {},
    "source": [
-    "> Your answer here..."
+    "Response variable class identifies each wine. It has only 3 unique values of 0, 1 and 2 and is used for prediction of this response variable class only."
    ]
   },
   {
@@ -236,7 +1587,7 @@
    "id": "f0676c21",
    "metadata": {},
    "source": [
-    "> Your answer here..."
+    "Setting a seed value is important to ensure that the sequence of random numbers is reproducible. It essentially produces same random result everytime we run our code. So particular seed value guarantees same results each time the analysis is run. Different seed values result in different random patterns, but the same values ensures consistent results."
    ]
   },
   {
@@ -251,17 +1602,339 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 68,
    "id": "72c101f2",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
+       "columns": [
+        {
+         "name": "index",
+         "rawType": "int64",
+         "type": "integer"
+        },
+        {
+         "name": "alcohol",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "malic_acid",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "ash",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "alcalinity_of_ash",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "magnesium",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "total_phenols",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "flavanoids",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "nonflavanoid_phenols",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "proanthocyanins",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "color_intensity",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "hue",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "od280/od315_of_diluted_wines",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "proline",
+         "rawType": "float64",
+         "type": "float"
+        }
+       ],
+       "ref": "3b29267c-7464-47c5-8c24-1b643d1fc9cc",
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+         "-0.19249500127257954",
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+         "-0.7604969103118204",
+         "1.3712651803911307",
+         "0.4919744637728138",
+         "-0.11748635045744828"
+        ]
+       ],
+       "shape": {
+        "columns": 13,
+        "rows": 5
+       }
+      },
+      "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>alcohol</th>\n",
+       "      <th>malic_acid</th>\n",
+       "      <th>ash</th>\n",
+       "      <th>alcalinity_of_ash</th>\n",
+       "      <th>magnesium</th>\n",
+       "      <th>total_phenols</th>\n",
+       "      <th>flavanoids</th>\n",
+       "      <th>nonflavanoid_phenols</th>\n",
+       "      <th>proanthocyanins</th>\n",
+       "      <th>color_intensity</th>\n",
+       "      <th>hue</th>\n",
+       "      <th>od280/od315_of_diluted_wines</th>\n",
+       "      <th>proline</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>1.073917</td>\n",
+       "      <td>-0.391694</td>\n",
+       "      <td>1.584529</td>\n",
+       "      <td>-0.028510</td>\n",
+       "      <td>0.509638</td>\n",
+       "      <td>1.049347</td>\n",
+       "      <td>0.944462</td>\n",
+       "      <td>0.065639</td>\n",
+       "      <td>0.296279</td>\n",
+       "      <td>-0.241413</td>\n",
+       "      <td>1.283518</td>\n",
+       "      <td>1.113449</td>\n",
+       "      <td>0.535335</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2.160950</td>\n",
+       "      <td>-0.544297</td>\n",
+       "      <td>0.085839</td>\n",
+       "      <td>-2.430790</td>\n",
+       "      <td>-0.613775</td>\n",
+       "      <td>1.289697</td>\n",
+       "      <td>1.667318</td>\n",
+       "      <td>0.549108</td>\n",
+       "      <td>2.135968</td>\n",
+       "      <td>0.147900</td>\n",
+       "      <td>1.283518</td>\n",
+       "      <td>0.167113</td>\n",
+       "      <td>1.283691</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>88</th>\n",
+       "      <td>-1.680724</td>\n",
+       "      <td>-0.248068</td>\n",
+       "      <td>0.341713</td>\n",
+       "      <td>0.632117</td>\n",
+       "      <td>-1.105268</td>\n",
+       "      <td>-0.552984</td>\n",
+       "      <td>-0.340615</td>\n",
+       "      <td>0.951998</td>\n",
+       "      <td>-0.422075</td>\n",
+       "      <td>-0.976782</td>\n",
+       "      <td>0.186684</td>\n",
+       "      <td>0.195361</td>\n",
+       "      <td>-0.213021</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>0.616869</td>\n",
+       "      <td>-0.472483</td>\n",
+       "      <td>0.890014</td>\n",
+       "      <td>0.151661</td>\n",
+       "      <td>-0.262708</td>\n",
+       "      <td>0.376368</td>\n",
+       "      <td>0.583034</td>\n",
+       "      <td>-0.659563</td>\n",
+       "      <td>0.121071</td>\n",
+       "      <td>-0.665332</td>\n",
+       "      <td>0.713164</td>\n",
+       "      <td>1.706675</td>\n",
+       "      <td>0.312420</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>100</th>\n",
+       "      <td>-1.137207</td>\n",
+       "      <td>-0.230114</td>\n",
+       "      <td>-2.436346</td>\n",
+       "      <td>-0.599052</td>\n",
+       "      <td>-0.192495</td>\n",
+       "      <td>-0.104332</td>\n",
+       "      <td>0.141289</td>\n",
+       "      <td>-0.820719</td>\n",
+       "      <td>-0.334471</td>\n",
+       "      <td>-0.760497</td>\n",
+       "      <td>1.371265</td>\n",
+       "      <td>0.491974</td>\n",
+       "      <td>-0.117486</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      alcohol  malic_acid       ash  alcalinity_of_ash  magnesium  \\\n",
+       "28   1.073917   -0.391694  1.584529          -0.028510   0.509638   \n",
+       "13   2.160950   -0.544297  0.085839          -2.430790  -0.613775   \n",
+       "88  -1.680724   -0.248068  0.341713           0.632117  -1.105268   \n",
+       "24   0.616869   -0.472483  0.890014           0.151661  -0.262708   \n",
+       "100 -1.137207   -0.230114 -2.436346          -0.599052  -0.192495   \n",
+       "\n",
+       "     total_phenols  flavanoids  nonflavanoid_phenols  proanthocyanins  \\\n",
+       "28        1.049347    0.944462              0.065639         0.296279   \n",
+       "13        1.289697    1.667318              0.549108         2.135968   \n",
+       "88       -0.552984   -0.340615              0.951998        -0.422075   \n",
+       "24        0.376368    0.583034             -0.659563         0.121071   \n",
+       "100      -0.104332    0.141289             -0.820719        -0.334471   \n",
+       "\n",
+       "     color_intensity       hue  od280/od315_of_diluted_wines   proline  \n",
+       "28         -0.241413  1.283518                      1.113449  0.535335  \n",
+       "13          0.147900  1.283518                      0.167113  1.283691  \n",
+       "88         -0.976782  0.186684                      0.195361 -0.213021  \n",
+       "24         -0.665332  0.713164                      1.706675  0.312420  \n",
+       "100        -0.760497  1.371265                      0.491974 -0.117486  "
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# set a seed for reproducibility\n",
     "np.random.seed(123)\n",
     "\n",
     "# split the data into a training and testing set. hint: use train_test_split !\n",
+    "predictors_train, predictors_test,y_train,y_test = train_test_split(\n",
+    "    predictors_standardized, wine_df['class'],train_size=0.75, shuffle=True\n",
+    ")\n",
+    "# Your code here ...\n",
+    "#predictors_train # 133 rows\n",
+    "#predictors_test # 45 rows\n",
+    "\n",
+    "#predictors_train.info()\n",
+    "#predictors_train['class'] = wine_df['class'] # Added Class response variable back to training set for fitting y\n",
+    "#predictors_test['class'] = wine_df['class'] # Added Class response variable back to testing set \n",
+    "#predictors_train\n",
+    "#predictors_test\n",
     "\n",
-    "# Your code here ..."
+    "predictors_train.head()"
    ]
   },
   {
@@ -284,12 +1957,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 69,
    "id": "08818c64",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The best value for n_neighbors based on grid search results 15\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here..."
+    "# Your code here...\n",
+    "knn = KNeighborsClassifier()\n",
+    "parameter_grid = {\n",
+    "    \"n_neighbors\": range(1, 51)\n",
+    "}\n",
+    "\n",
+    "predictors_tune_grid = GridSearchCV(\n",
+    "    estimator=knn,\n",
+    "    param_grid=parameter_grid,\n",
+    "    cv=10\n",
+    ")\n",
+    "\n",
+    "predictors_tune_grid.fit(\n",
+    "    predictors_train[[\"alcohol\", \"malic_acid\",\"ash\",\"alcalinity_of_ash\",\"magnesium\",\"total_phenols\",\"flavanoids\",\"nonflavanoid_phenols\",\"proanthocyanins\",\"color_intensity\",\"hue\",\"od280/od315_of_diluted_wines\",\"proline\"]],\n",
+    "   # predictors_train['class']\n",
+    "   y_train\n",
+    ")\n",
+    "\n",
+    "print(\"The best value for n_neighbors based on grid search results\",predictors_tune_grid.best_params_['n_neighbors'])\n",
+    "\n",
+    "# n_neighbors = 15"
    ]
   },
   {
@@ -308,9 +2009,2713 @@
    "execution_count": null,
    "id": "ffefa9f2",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy Score: : 0.9333333333333333\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
+       "columns": [
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+         "name": "index",
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+         "type": "float"
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+        {
+         "name": "std_fit_time",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "mean_score_time",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "std_score_time",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "param_n_neighbors",
+         "rawType": "int64",
+         "type": "integer"
+        },
+        {
+         "name": "params",
+         "rawType": "object",
+         "type": "unknown"
+        },
+        {
+         "name": "split0_test_score",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "split1_test_score",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "split2_test_score",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "split3_test_score",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "split4_test_score",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "split5_test_score",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "split6_test_score",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "split7_test_score",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "split8_test_score",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "split9_test_score",
+         "rawType": "float64",
+         "type": "float"
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+        {
+         "name": "mean_test_score",
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+         "name": "std_test_score",
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+         "name": "rank_test_score",
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean_fit_time</th>\n",
+       "      <th>std_fit_time</th>\n",
+       "      <th>mean_score_time</th>\n",
+       "      <th>std_score_time</th>\n",
+       "      <th>param_n_neighbors</th>\n",
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+       "      <th>split1_test_score</th>\n",
+       "      <th>split2_test_score</th>\n",
+       "      <th>split3_test_score</th>\n",
+       "      <th>split4_test_score</th>\n",
+       "      <th>split5_test_score</th>\n",
+       "      <th>split6_test_score</th>\n",
+       "      <th>split7_test_score</th>\n",
+       "      <th>split8_test_score</th>\n",
+       "      <th>split9_test_score</th>\n",
+       "      <th>mean_test_score</th>\n",
+       "      <th>std_test_score</th>\n",
+       "      <th>rank_test_score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>0.000334</td>\n",
+       "      <td>0.000028</td>\n",
+       "      <td>0.000581</td>\n",
+       "      <td>0.000041</td>\n",
+       "      <td>15</td>\n",
+       "      <td>{'n_neighbors': 15}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.984615</td>\n",
+       "      <td>0.030769</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>0.000327</td>\n",
+       "      <td>0.000015</td>\n",
+       "      <td>0.000587</td>\n",
+       "      <td>0.000023</td>\n",
+       "      <td>19</td>\n",
+       "      <td>{'n_neighbors': 19}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
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+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.984615</td>\n",
+       "      <td>0.030769</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>0.000328</td>\n",
+       "      <td>0.000022</td>\n",
+       "      <td>0.000620</td>\n",
+       "      <td>0.000098</td>\n",
+       "      <td>20</td>\n",
+       "      <td>{'n_neighbors': 20}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.984615</td>\n",
+       "      <td>0.030769</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>0.000319</td>\n",
+       "      <td>0.000010</td>\n",
+       "      <td>0.000589</td>\n",
+       "      <td>0.000052</td>\n",
+       "      <td>21</td>\n",
+       "      <td>{'n_neighbors': 21}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.984615</td>\n",
+       "      <td>0.030769</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>0.000358</td>\n",
+       "      <td>0.000102</td>\n",
+       "      <td>0.000566</td>\n",
+       "      <td>0.000024</td>\n",
+       "      <td>22</td>\n",
+       "      <td>{'n_neighbors': 22}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.984615</td>\n",
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+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>0.000316</td>\n",
+       "      <td>0.000017</td>\n",
+       "      <td>0.000576</td>\n",
+       "      <td>0.000048</td>\n",
+       "      <td>23</td>\n",
+       "      <td>{'n_neighbors': 23}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.984615</td>\n",
+       "      <td>0.030769</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>0.000328</td>\n",
+       "      <td>0.000032</td>\n",
+       "      <td>0.000569</td>\n",
+       "      <td>0.000031</td>\n",
+       "      <td>24</td>\n",
+       "      <td>{'n_neighbors': 24}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.984615</td>\n",
+       "      <td>0.030769</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>0.000320</td>\n",
+       "      <td>0.000026</td>\n",
+       "      <td>0.000583</td>\n",
+       "      <td>0.000031</td>\n",
+       "      <td>25</td>\n",
+       "      <td>{'n_neighbors': 25}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.984615</td>\n",
+       "      <td>0.030769</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>0.000333</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>0.000597</td>\n",
+       "      <td>0.000046</td>\n",
+       "      <td>26</td>\n",
+       "      <td>{'n_neighbors': 26}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.984615</td>\n",
+       "      <td>0.030769</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>0.000318</td>\n",
+       "      <td>0.000010</td>\n",
+       "      <td>0.000589</td>\n",
+       "      <td>0.000059</td>\n",
+       "      <td>28</td>\n",
+       "      <td>{'n_neighbors': 28}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.984615</td>\n",
+       "      <td>0.030769</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>0.000316</td>\n",
+       "      <td>0.000012</td>\n",
+       "      <td>0.000584</td>\n",
+       "      <td>0.000026</td>\n",
+       "      <td>29</td>\n",
+       "      <td>{'n_neighbors': 29}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.984615</td>\n",
+       "      <td>0.030769</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>0.000314</td>\n",
+       "      <td>0.000009</td>\n",
+       "      <td>0.000576</td>\n",
+       "      <td>0.000019</td>\n",
+       "      <td>30</td>\n",
+       "      <td>{'n_neighbors': 30}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.977473</td>\n",
+       "      <td>0.034441</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0.000328</td>\n",
+       "      <td>0.000026</td>\n",
+       "      <td>0.000551</td>\n",
+       "      <td>0.000024</td>\n",
+       "      <td>7</td>\n",
+       "      <td>{'n_neighbors': 7}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.976923</td>\n",
+       "      <td>0.035251</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.000319</td>\n",
+       "      <td>0.000027</td>\n",
+       "      <td>0.000550</td>\n",
+       "      <td>0.000011</td>\n",
+       "      <td>8</td>\n",
+       "      <td>{'n_neighbors': 8}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.976923</td>\n",
+       "      <td>0.049255</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.000315</td>\n",
+       "      <td>0.000007</td>\n",
+       "      <td>0.000567</td>\n",
+       "      <td>0.000032</td>\n",
+       "      <td>10</td>\n",
+       "      <td>{'n_neighbors': 10}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.976923</td>\n",
+       "      <td>0.035251</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>0.000329</td>\n",
+       "      <td>0.000027</td>\n",
+       "      <td>0.000565</td>\n",
+       "      <td>0.000027</td>\n",
+       "      <td>13</td>\n",
+       "      <td>{'n_neighbors': 13}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.976923</td>\n",
+       "      <td>0.035251</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>0.000337</td>\n",
+       "      <td>0.000027</td>\n",
+       "      <td>0.000605</td>\n",
+       "      <td>0.000059</td>\n",
+       "      <td>14</td>\n",
+       "      <td>{'n_neighbors': 14}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.976923</td>\n",
+       "      <td>0.035251</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>0.000330</td>\n",
+       "      <td>0.000025</td>\n",
+       "      <td>0.000589</td>\n",
+       "      <td>0.000029</td>\n",
+       "      <td>16</td>\n",
+       "      <td>{'n_neighbors': 16}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.976923</td>\n",
+       "      <td>0.035251</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>0.000325</td>\n",
+       "      <td>0.000017</td>\n",
+       "      <td>0.000580</td>\n",
+       "      <td>0.000037</td>\n",
+       "      <td>17</td>\n",
+       "      <td>{'n_neighbors': 17}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.976923</td>\n",
+       "      <td>0.035251</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>0.000328</td>\n",
+       "      <td>0.000029</td>\n",
+       "      <td>0.000595</td>\n",
+       "      <td>0.000036</td>\n",
+       "      <td>18</td>\n",
+       "      <td>{'n_neighbors': 18}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.976923</td>\n",
+       "      <td>0.035251</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>0.000321</td>\n",
+       "      <td>0.000011</td>\n",
+       "      <td>0.000586</td>\n",
+       "      <td>0.000043</td>\n",
+       "      <td>27</td>\n",
+       "      <td>{'n_neighbors': 27}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.976923</td>\n",
+       "      <td>0.049255</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>0.000329</td>\n",
+       "      <td>0.000014</td>\n",
+       "      <td>0.000595</td>\n",
+       "      <td>0.000050</td>\n",
+       "      <td>31</td>\n",
+       "      <td>{'n_neighbors': 31}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.976923</td>\n",
+       "      <td>0.049255</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>0.000322</td>\n",
+       "      <td>0.000017</td>\n",
+       "      <td>0.000590</td>\n",
+       "      <td>0.000032</td>\n",
+       "      <td>32</td>\n",
+       "      <td>{'n_neighbors': 32}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.976923</td>\n",
+       "      <td>0.049255</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>0.000329</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>0.000594</td>\n",
+       "      <td>0.000037</td>\n",
+       "      <td>34</td>\n",
+       "      <td>{'n_neighbors': 34}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.969780</td>\n",
+       "      <td>0.050552</td>\n",
+       "      <td>24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>0.000321</td>\n",
+       "      <td>0.000018</td>\n",
+       "      <td>0.000579</td>\n",
+       "      <td>0.000023</td>\n",
+       "      <td>35</td>\n",
+       "      <td>{'n_neighbors': 35}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.969780</td>\n",
+       "      <td>0.050552</td>\n",
+       "      <td>24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>0.000318</td>\n",
+       "      <td>0.000019</td>\n",
+       "      <td>0.000583</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>36</td>\n",
+       "      <td>{'n_neighbors': 36}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.969780</td>\n",
+       "      <td>0.050552</td>\n",
+       "      <td>24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>0.000314</td>\n",
+       "      <td>0.000004</td>\n",
+       "      <td>0.000603</td>\n",
+       "      <td>0.000076</td>\n",
+       "      <td>37</td>\n",
+       "      <td>{'n_neighbors': 37}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.969780</td>\n",
+       "      <td>0.050552</td>\n",
+       "      <td>24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>0.000326</td>\n",
+       "      <td>0.000037</td>\n",
+       "      <td>0.000587</td>\n",
+       "      <td>0.000027</td>\n",
+       "      <td>39</td>\n",
+       "      <td>{'n_neighbors': 39}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.969780</td>\n",
+       "      <td>0.050552</td>\n",
+       "      <td>24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>0.000330</td>\n",
+       "      <td>0.000038</td>\n",
+       "      <td>0.000597</td>\n",
+       "      <td>0.000031</td>\n",
+       "      <td>41</td>\n",
+       "      <td>{'n_neighbors': 41}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.969780</td>\n",
+       "      <td>0.037042</td>\n",
+       "      <td>24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>0.000318</td>\n",
+       "      <td>0.000018</td>\n",
+       "      <td>0.000604</td>\n",
+       "      <td>0.000059</td>\n",
+       "      <td>45</td>\n",
+       "      <td>{'n_neighbors': 45}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.969780</td>\n",
+       "      <td>0.037042</td>\n",
+       "      <td>24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.000334</td>\n",
+       "      <td>0.000050</td>\n",
+       "      <td>0.000567</td>\n",
+       "      <td>0.000031</td>\n",
+       "      <td>4</td>\n",
+       "      <td>{'n_neighbors': 4}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.969231</td>\n",
+       "      <td>0.051025</td>\n",
+       "      <td>31</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.000321</td>\n",
+       "      <td>0.000031</td>\n",
+       "      <td>0.000551</td>\n",
+       "      <td>0.000020</td>\n",
+       "      <td>6</td>\n",
+       "      <td>{'n_neighbors': 6}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.769231</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.969231</td>\n",
+       "      <td>0.070501</td>\n",
+       "      <td>31</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0.000336</td>\n",
+       "      <td>0.000035</td>\n",
+       "      <td>0.000561</td>\n",
+       "      <td>0.000024</td>\n",
+       "      <td>9</td>\n",
+       "      <td>{'n_neighbors': 9}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.969231</td>\n",
+       "      <td>0.037684</td>\n",
+       "      <td>31</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>0.000325</td>\n",
+       "      <td>0.000029</td>\n",
+       "      <td>0.000588</td>\n",
+       "      <td>0.000042</td>\n",
+       "      <td>11</td>\n",
+       "      <td>{'n_neighbors': 11}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.969231</td>\n",
+       "      <td>0.051025</td>\n",
+       "      <td>31</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>0.000315</td>\n",
+       "      <td>0.000012</td>\n",
+       "      <td>0.000585</td>\n",
+       "      <td>0.000053</td>\n",
+       "      <td>33</td>\n",
+       "      <td>{'n_neighbors': 33}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.969231</td>\n",
+       "      <td>0.061538</td>\n",
+       "      <td>31</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>0.000317</td>\n",
+       "      <td>0.000012</td>\n",
+       "      <td>0.000571</td>\n",
+       "      <td>0.000020</td>\n",
+       "      <td>40</td>\n",
+       "      <td>{'n_neighbors': 40}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.049193</td>\n",
+       "      <td>36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>0.000318</td>\n",
+       "      <td>0.000009</td>\n",
+       "      <td>0.000583</td>\n",
+       "      <td>0.000019</td>\n",
+       "      <td>42</td>\n",
+       "      <td>{'n_neighbors': 42}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.049193</td>\n",
+       "      <td>36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>0.000331</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>0.000596</td>\n",
+       "      <td>0.000049</td>\n",
+       "      <td>44</td>\n",
+       "      <td>{'n_neighbors': 44}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.049193</td>\n",
+       "      <td>36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>0.000323</td>\n",
+       "      <td>0.000018</td>\n",
+       "      <td>0.000596</td>\n",
+       "      <td>0.000034</td>\n",
+       "      <td>43</td>\n",
+       "      <td>{'n_neighbors': 43}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.049193</td>\n",
+       "      <td>39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>0.000321</td>\n",
+       "      <td>0.000024</td>\n",
+       "      <td>0.000585</td>\n",
+       "      <td>0.000040</td>\n",
+       "      <td>38</td>\n",
+       "      <td>{'n_neighbors': 38}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.962088</td>\n",
+       "      <td>0.061698</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.000327</td>\n",
+       "      <td>0.000015</td>\n",
+       "      <td>0.000628</td>\n",
+       "      <td>0.000135</td>\n",
+       "      <td>3</td>\n",
+       "      <td>{'n_neighbors': 3}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.961538</td>\n",
+       "      <td>0.051602</td>\n",
+       "      <td>41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.000314</td>\n",
+       "      <td>0.000009</td>\n",
+       "      <td>0.000567</td>\n",
+       "      <td>0.000050</td>\n",
+       "      <td>5</td>\n",
+       "      <td>{'n_neighbors': 5}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.769231</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.961538</td>\n",
+       "      <td>0.070920</td>\n",
+       "      <td>41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>0.000329</td>\n",
+       "      <td>0.000028</td>\n",
+       "      <td>0.000613</td>\n",
+       "      <td>0.000105</td>\n",
+       "      <td>12</td>\n",
+       "      <td>{'n_neighbors': 12}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.961538</td>\n",
+       "      <td>0.051602</td>\n",
+       "      <td>41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45</th>\n",
+       "      <td>0.000327</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>0.000580</td>\n",
+       "      <td>0.000015</td>\n",
+       "      <td>46</td>\n",
+       "      <td>{'n_neighbors': 46}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.947253</td>\n",
+       "      <td>0.058314</td>\n",
+       "      <td>44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>0.000313</td>\n",
+       "      <td>0.000006</td>\n",
+       "      <td>0.000586</td>\n",
+       "      <td>0.000028</td>\n",
+       "      <td>47</td>\n",
+       "      <td>{'n_neighbors': 47}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.940110</td>\n",
+       "      <td>0.043849</td>\n",
+       "      <td>45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>0.000323</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>0.000580</td>\n",
+       "      <td>0.000024</td>\n",
+       "      <td>48</td>\n",
+       "      <td>{'n_neighbors': 48}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.940110</td>\n",
+       "      <td>0.043849</td>\n",
+       "      <td>45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.000469</td>\n",
+       "      <td>0.000191</td>\n",
+       "      <td>0.000875</td>\n",
+       "      <td>0.000403</td>\n",
+       "      <td>1</td>\n",
+       "      <td>{'n_neighbors': 1}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.769231</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.939560</td>\n",
+       "      <td>0.066844</td>\n",
+       "      <td>47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.000389</td>\n",
+       "      <td>0.000090</td>\n",
+       "      <td>0.000649</td>\n",
+       "      <td>0.000118</td>\n",
+       "      <td>2</td>\n",
+       "      <td>{'n_neighbors': 2}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.692308</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.924176</td>\n",
+       "      <td>0.091043</td>\n",
+       "      <td>48</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>0.000324</td>\n",
+       "      <td>0.000034</td>\n",
+       "      <td>0.000568</td>\n",
+       "      <td>0.000014</td>\n",
+       "      <td>49</td>\n",
+       "      <td>{'n_neighbors': 49}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.910440</td>\n",
+       "      <td>0.043545</td>\n",
+       "      <td>49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>49</th>\n",
+       "      <td>0.000309</td>\n",
+       "      <td>0.000009</td>\n",
+       "      <td>0.000581</td>\n",
+       "      <td>0.000031</td>\n",
+       "      <td>50</td>\n",
+       "      <td>{'n_neighbors': 50}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.769231</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.887363</td>\n",
+       "      <td>0.061147</td>\n",
+       "      <td>50</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    mean_fit_time  std_fit_time  mean_score_time  std_score_time  \\\n",
+       "14       0.000334      0.000028         0.000581        0.000041   \n",
+       "18       0.000327      0.000015         0.000587        0.000023   \n",
+       "19       0.000328      0.000022         0.000620        0.000098   \n",
+       "20       0.000319      0.000010         0.000589        0.000052   \n",
+       "21       0.000358      0.000102         0.000566        0.000024   \n",
+       "22       0.000316      0.000017         0.000576        0.000048   \n",
+       "23       0.000328      0.000032         0.000569        0.000031   \n",
+       "24       0.000320      0.000026         0.000583        0.000031   \n",
+       "25       0.000333      0.000030         0.000597        0.000046   \n",
+       "27       0.000318      0.000010         0.000589        0.000059   \n",
+       "28       0.000316      0.000012         0.000584        0.000026   \n",
+       "29       0.000314      0.000009         0.000576        0.000019   \n",
+       "6        0.000328      0.000026         0.000551        0.000024   \n",
+       "7        0.000319      0.000027         0.000550        0.000011   \n",
+       "9        0.000315      0.000007         0.000567        0.000032   \n",
+       "12       0.000329      0.000027         0.000565        0.000027   \n",
+       "13       0.000337      0.000027         0.000605        0.000059   \n",
+       "15       0.000330      0.000025         0.000589        0.000029   \n",
+       "16       0.000325      0.000017         0.000580        0.000037   \n",
+       "17       0.000328      0.000029         0.000595        0.000036   \n",
+       "26       0.000321      0.000011         0.000586        0.000043   \n",
+       "30       0.000329      0.000014         0.000595        0.000050   \n",
+       "31       0.000322      0.000017         0.000590        0.000032   \n",
+       "33       0.000329      0.000030         0.000594        0.000037   \n",
+       "34       0.000321      0.000018         0.000579        0.000023   \n",
+       "35       0.000318      0.000019         0.000583        0.000030   \n",
+       "36       0.000314      0.000004         0.000603        0.000076   \n",
+       "38       0.000326      0.000037         0.000587        0.000027   \n",
+       "40       0.000330      0.000038         0.000597        0.000031   \n",
+       "44       0.000318      0.000018         0.000604        0.000059   \n",
+       "3        0.000334      0.000050         0.000567        0.000031   \n",
+       "5        0.000321      0.000031         0.000551        0.000020   \n",
+       "8        0.000336      0.000035         0.000561        0.000024   \n",
+       "10       0.000325      0.000029         0.000588        0.000042   \n",
+       "32       0.000315      0.000012         0.000585        0.000053   \n",
+       "39       0.000317      0.000012         0.000571        0.000020   \n",
+       "41       0.000318      0.000009         0.000583        0.000019   \n",
+       "43       0.000331      0.000030         0.000596        0.000049   \n",
+       "42       0.000323      0.000018         0.000596        0.000034   \n",
+       "37       0.000321      0.000024         0.000585        0.000040   \n",
+       "2        0.000327      0.000015         0.000628        0.000135   \n",
+       "4        0.000314      0.000009         0.000567        0.000050   \n",
+       "11       0.000329      0.000028         0.000613        0.000105   \n",
+       "45       0.000327      0.000030         0.000580        0.000015   \n",
+       "46       0.000313      0.000006         0.000586        0.000028   \n",
+       "47       0.000323      0.000030         0.000580        0.000024   \n",
+       "0        0.000469      0.000191         0.000875        0.000403   \n",
+       "1        0.000389      0.000090         0.000649        0.000118   \n",
+       "48       0.000324      0.000034         0.000568        0.000014   \n",
+       "49       0.000309      0.000009         0.000581        0.000031   \n",
+       "\n",
+       "    param_n_neighbors               params  split0_test_score  \\\n",
+       "14                 15  {'n_neighbors': 15}           1.000000   \n",
+       "18                 19  {'n_neighbors': 19}           1.000000   \n",
+       "19                 20  {'n_neighbors': 20}           1.000000   \n",
+       "20                 21  {'n_neighbors': 21}           1.000000   \n",
+       "21                 22  {'n_neighbors': 22}           1.000000   \n",
+       "22                 23  {'n_neighbors': 23}           1.000000   \n",
+       "23                 24  {'n_neighbors': 24}           1.000000   \n",
+       "24                 25  {'n_neighbors': 25}           1.000000   \n",
+       "25                 26  {'n_neighbors': 26}           1.000000   \n",
+       "27                 28  {'n_neighbors': 28}           1.000000   \n",
+       "28                 29  {'n_neighbors': 29}           1.000000   \n",
+       "29                 30  {'n_neighbors': 30}           1.000000   \n",
+       "6                   7   {'n_neighbors': 7}           1.000000   \n",
+       "7                   8   {'n_neighbors': 8}           1.000000   \n",
+       "9                  10  {'n_neighbors': 10}           1.000000   \n",
+       "12                 13  {'n_neighbors': 13}           1.000000   \n",
+       "13                 14  {'n_neighbors': 14}           1.000000   \n",
+       "15                 16  {'n_neighbors': 16}           1.000000   \n",
+       "16                 17  {'n_neighbors': 17}           1.000000   \n",
+       "17                 18  {'n_neighbors': 18}           1.000000   \n",
+       "26                 27  {'n_neighbors': 27}           1.000000   \n",
+       "30                 31  {'n_neighbors': 31}           1.000000   \n",
+       "31                 32  {'n_neighbors': 32}           1.000000   \n",
+       "33                 34  {'n_neighbors': 34}           1.000000   \n",
+       "34                 35  {'n_neighbors': 35}           1.000000   \n",
+       "35                 36  {'n_neighbors': 36}           1.000000   \n",
+       "36                 37  {'n_neighbors': 37}           1.000000   \n",
+       "38                 39  {'n_neighbors': 39}           1.000000   \n",
+       "40                 41  {'n_neighbors': 41}           1.000000   \n",
+       "44                 45  {'n_neighbors': 45}           1.000000   \n",
+       "3                   4   {'n_neighbors': 4}           1.000000   \n",
+       "5                   6   {'n_neighbors': 6}           1.000000   \n",
+       "8                   9   {'n_neighbors': 9}           1.000000   \n",
+       "10                 11  {'n_neighbors': 11}           1.000000   \n",
+       "32                 33  {'n_neighbors': 33}           1.000000   \n",
+       "39                 40  {'n_neighbors': 40}           1.000000   \n",
+       "41                 42  {'n_neighbors': 42}           1.000000   \n",
+       "43                 44  {'n_neighbors': 44}           1.000000   \n",
+       "42                 43  {'n_neighbors': 43}           1.000000   \n",
+       "37                 38  {'n_neighbors': 38}           1.000000   \n",
+       "2                   3   {'n_neighbors': 3}           1.000000   \n",
+       "4                   5   {'n_neighbors': 5}           1.000000   \n",
+       "11                 12  {'n_neighbors': 12}           1.000000   \n",
+       "45                 46  {'n_neighbors': 46}           1.000000   \n",
+       "46                 47  {'n_neighbors': 47}           0.928571   \n",
+       "47                 48  {'n_neighbors': 48}           0.928571   \n",
+       "0                   1   {'n_neighbors': 1}           1.000000   \n",
+       "1                   2   {'n_neighbors': 2}           0.928571   \n",
+       "48                 49  {'n_neighbors': 49}           0.928571   \n",
+       "49                 50  {'n_neighbors': 50}           0.928571   \n",
+       "\n",
+       "    split1_test_score  split2_test_score  split3_test_score  \\\n",
+       "14           1.000000           1.000000                1.0   \n",
+       "18           1.000000           1.000000                1.0   \n",
+       "19           1.000000           1.000000                1.0   \n",
+       "20           1.000000           1.000000                1.0   \n",
+       "21           1.000000           1.000000                1.0   \n",
+       "22           1.000000           1.000000                1.0   \n",
+       "23           1.000000           1.000000                1.0   \n",
+       "24           1.000000           1.000000                1.0   \n",
+       "25           1.000000           1.000000                1.0   \n",
+       "27           1.000000           1.000000                1.0   \n",
+       "28           1.000000           1.000000                1.0   \n",
+       "29           0.928571           1.000000                1.0   \n",
+       "6            1.000000           1.000000                1.0   \n",
+       "7            1.000000           1.000000                1.0   \n",
+       "9            1.000000           1.000000                1.0   \n",
+       "12           1.000000           1.000000                1.0   \n",
+       "13           1.000000           1.000000                1.0   \n",
+       "15           1.000000           1.000000                1.0   \n",
+       "16           1.000000           1.000000                1.0   \n",
+       "17           1.000000           1.000000                1.0   \n",
+       "26           1.000000           1.000000                1.0   \n",
+       "30           1.000000           1.000000                1.0   \n",
+       "31           1.000000           1.000000                1.0   \n",
+       "33           0.928571           1.000000                1.0   \n",
+       "34           0.928571           1.000000                1.0   \n",
+       "35           0.928571           1.000000                1.0   \n",
+       "36           0.928571           1.000000                1.0   \n",
+       "38           0.928571           1.000000                1.0   \n",
+       "40           0.928571           1.000000                1.0   \n",
+       "44           0.928571           1.000000                1.0   \n",
+       "3            1.000000           1.000000                1.0   \n",
+       "5            1.000000           1.000000                1.0   \n",
+       "8            1.000000           1.000000                1.0   \n",
+       "10           1.000000           1.000000                1.0   \n",
+       "32           1.000000           1.000000                1.0   \n",
+       "39           0.857143           1.000000                1.0   \n",
+       "41           0.857143           1.000000                1.0   \n",
+       "43           0.857143           1.000000                1.0   \n",
+       "42           0.857143           1.000000                1.0   \n",
+       "37           0.928571           1.000000                1.0   \n",
+       "2            1.000000           1.000000                1.0   \n",
+       "4            1.000000           1.000000                1.0   \n",
+       "11           1.000000           1.000000                1.0   \n",
+       "45           0.857143           1.000000                1.0   \n",
+       "46           0.857143           1.000000                1.0   \n",
+       "47           0.857143           1.000000                1.0   \n",
+       "0            0.928571           0.928571                1.0   \n",
+       "1            0.928571           1.000000                1.0   \n",
+       "48           0.857143           0.857143                1.0   \n",
+       "49           0.857143           0.857143                1.0   \n",
+       "\n",
+       "    split4_test_score  split5_test_score  split6_test_score  \\\n",
+       "14           1.000000           1.000000           1.000000   \n",
+       "18           1.000000           1.000000           1.000000   \n",
+       "19           1.000000           1.000000           1.000000   \n",
+       "20           1.000000           1.000000           1.000000   \n",
+       "21           1.000000           1.000000           1.000000   \n",
+       "22           1.000000           1.000000           1.000000   \n",
+       "23           1.000000           1.000000           1.000000   \n",
+       "24           1.000000           1.000000           1.000000   \n",
+       "25           1.000000           1.000000           1.000000   \n",
+       "27           1.000000           1.000000           1.000000   \n",
+       "28           1.000000           1.000000           1.000000   \n",
+       "29           1.000000           1.000000           1.000000   \n",
+       "6            0.923077           1.000000           0.923077   \n",
+       "7            0.923077           1.000000           1.000000   \n",
+       "9            0.923077           1.000000           1.000000   \n",
+       "12           0.923077           1.000000           1.000000   \n",
+       "13           0.923077           1.000000           1.000000   \n",
+       "15           0.923077           1.000000           1.000000   \n",
+       "16           0.923077           1.000000           1.000000   \n",
+       "17           0.923077           1.000000           1.000000   \n",
+       "26           1.000000           1.000000           1.000000   \n",
+       "30           1.000000           1.000000           1.000000   \n",
+       "31           1.000000           1.000000           1.000000   \n",
+       "33           1.000000           1.000000           1.000000   \n",
+       "34           1.000000           1.000000           1.000000   \n",
+       "35           1.000000           1.000000           1.000000   \n",
+       "36           1.000000           1.000000           1.000000   \n",
+       "38           1.000000           0.923077           1.000000   \n",
+       "40           1.000000           0.923077           1.000000   \n",
+       "44           0.923077           0.923077           1.000000   \n",
+       "3            0.923077           1.000000           0.923077   \n",
+       "5            0.923077           1.000000           1.000000   \n",
+       "8            0.923077           1.000000           0.923077   \n",
+       "10           0.923077           1.000000           1.000000   \n",
+       "32           1.000000           1.000000           1.000000   \n",
+       "39           1.000000           0.923077           1.000000   \n",
+       "41           1.000000           0.923077           1.000000   \n",
+       "43           0.923077           1.000000           1.000000   \n",
+       "42           0.923077           0.923077           1.000000   \n",
+       "37           1.000000           1.000000           1.000000   \n",
+       "2            0.923077           1.000000           0.923077   \n",
+       "4            0.923077           1.000000           0.923077   \n",
+       "11           0.923077           0.923077           1.000000   \n",
+       "45           0.923077           0.923077           1.000000   \n",
+       "46           0.923077           0.923077           1.000000   \n",
+       "47           0.923077           1.000000           0.923077   \n",
+       "0            0.923077           1.000000           0.923077   \n",
+       "1            0.923077           1.000000           0.923077   \n",
+       "48           0.923077           0.923077           0.923077   \n",
+       "49           0.846154           0.923077           0.923077   \n",
+       "\n",
+       "    split7_test_score  split8_test_score  split9_test_score  mean_test_score  \\\n",
+       "14           1.000000           0.923077           0.923077         0.984615   \n",
+       "18           1.000000           0.923077           0.923077         0.984615   \n",
+       "19           1.000000           0.923077           0.923077         0.984615   \n",
+       "20           1.000000           0.923077           0.923077         0.984615   \n",
+       "21           1.000000           0.923077           0.923077         0.984615   \n",
+       "22           1.000000           0.923077           0.923077         0.984615   \n",
+       "23           1.000000           0.923077           0.923077         0.984615   \n",
+       "24           1.000000           0.923077           0.923077         0.984615   \n",
+       "25           1.000000           0.923077           0.923077         0.984615   \n",
+       "27           1.000000           0.923077           0.923077         0.984615   \n",
+       "28           1.000000           0.923077           0.923077         0.984615   \n",
+       "29           1.000000           0.923077           0.923077         0.977473   \n",
+       "6            1.000000           0.923077           1.000000         0.976923   \n",
+       "7            1.000000           0.846154           1.000000         0.976923   \n",
+       "9            1.000000           0.923077           0.923077         0.976923   \n",
+       "12           1.000000           0.923077           0.923077         0.976923   \n",
+       "13           1.000000           0.923077           0.923077         0.976923   \n",
+       "15           1.000000           0.923077           0.923077         0.976923   \n",
+       "16           1.000000           0.923077           0.923077         0.976923   \n",
+       "17           1.000000           0.923077           0.923077         0.976923   \n",
+       "26           1.000000           0.846154           0.923077         0.976923   \n",
+       "30           1.000000           0.846154           0.923077         0.976923   \n",
+       "31           1.000000           0.923077           0.846154         0.976923   \n",
+       "33           1.000000           0.923077           0.846154         0.969780   \n",
+       "34           1.000000           0.923077           0.846154         0.969780   \n",
+       "35           1.000000           0.923077           0.846154         0.969780   \n",
+       "36           1.000000           0.846154           0.923077         0.969780   \n",
+       "38           1.000000           0.846154           1.000000         0.969780   \n",
+       "40           1.000000           0.923077           0.923077         0.969780   \n",
+       "44           1.000000           0.923077           1.000000         0.969780   \n",
+       "3            1.000000           0.846154           1.000000         0.969231   \n",
+       "5            1.000000           0.769231           1.000000         0.969231   \n",
+       "8            1.000000           0.923077           0.923077         0.969231   \n",
+       "10           1.000000           0.846154           0.923077         0.969231   \n",
+       "32           1.000000           0.846154           0.846154         0.969231   \n",
+       "39           1.000000           0.923077           0.923077         0.962637   \n",
+       "41           1.000000           0.923077           0.923077         0.962637   \n",
+       "43           1.000000           0.923077           0.923077         0.962637   \n",
+       "42           1.000000           0.923077           1.000000         0.962637   \n",
+       "37           1.000000           0.846154           0.846154         0.962088   \n",
+       "2            1.000000           0.846154           0.923077         0.961538   \n",
+       "4            1.000000           0.769231           1.000000         0.961538   \n",
+       "11           1.000000           0.846154           0.923077         0.961538   \n",
+       "45           1.000000           0.923077           0.846154         0.947253   \n",
+       "46           0.923077           0.923077           0.923077         0.940110   \n",
+       "47           0.923077           0.923077           0.923077         0.940110   \n",
+       "0            1.000000           0.769231           0.923077         0.939560   \n",
+       "1            1.000000           0.692308           0.846154         0.924176   \n",
+       "48           0.846154           0.923077           0.923077         0.910440   \n",
+       "49           0.769231           0.923077           0.846154         0.887363   \n",
+       "\n",
+       "    std_test_score  rank_test_score  \n",
+       "14        0.030769                1  \n",
+       "18        0.030769                1  \n",
+       "19        0.030769                1  \n",
+       "20        0.030769                1  \n",
+       "21        0.030769                1  \n",
+       "22        0.030769                1  \n",
+       "23        0.030769                1  \n",
+       "24        0.030769                1  \n",
+       "25        0.030769                1  \n",
+       "27        0.030769                1  \n",
+       "28        0.030769                1  \n",
+       "29        0.034441               12  \n",
+       "6         0.035251               13  \n",
+       "7         0.049255               13  \n",
+       "9         0.035251               13  \n",
+       "12        0.035251               13  \n",
+       "13        0.035251               13  \n",
+       "15        0.035251               13  \n",
+       "16        0.035251               13  \n",
+       "17        0.035251               13  \n",
+       "26        0.049255               13  \n",
+       "30        0.049255               13  \n",
+       "31        0.049255               13  \n",
+       "33        0.050552               24  \n",
+       "34        0.050552               24  \n",
+       "35        0.050552               24  \n",
+       "36        0.050552               24  \n",
+       "38        0.050552               24  \n",
+       "40        0.037042               24  \n",
+       "44        0.037042               24  \n",
+       "3         0.051025               31  \n",
+       "5         0.070501               31  \n",
+       "8         0.037684               31  \n",
+       "10        0.051025               31  \n",
+       "32        0.061538               31  \n",
+       "39        0.049193               36  \n",
+       "41        0.049193               36  \n",
+       "43        0.049193               36  \n",
+       "42        0.049193               39  \n",
+       "37        0.061698               40  \n",
+       "2         0.051602               41  \n",
+       "4         0.070920               41  \n",
+       "11        0.051602               41  \n",
+       "45        0.058314               44  \n",
+       "46        0.043849               45  \n",
+       "47        0.043849               45  \n",
+       "0         0.066844               47  \n",
+       "1         0.091043               48  \n",
+       "48        0.043545               49  \n",
+       "49        0.061147               50  "
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here..."
+    "# Your code here...\n",
+    "knn = KNeighborsClassifier(n_neighbors=predictors_tune_grid.best_params_['n_neighbors'])\n",
+    "knn.fit(X=predictors_train[[\"alcohol\", \"malic_acid\",\"ash\",\"alcalinity_of_ash\",\"magnesium\",\"total_phenols\",\"flavanoids\",\"nonflavanoid_phenols\",\"proanthocyanins\",\"color_intensity\",\"hue\",\"od280/od315_of_diluted_wines\",\"proline\"]], \n",
+    "        #y=predictors_train[\"class\"]\n",
+    "        y=y_train)\n",
+    "\n",
+    "predictors_test[\"predicted\"] = knn.predict(predictors_test[[\"alcohol\", \"malic_acid\",\"ash\",\"alcalinity_of_ash\",\"magnesium\",\"total_phenols\",\"flavanoids\",\"nonflavanoid_phenols\",\"proanthocyanins\",\"color_intensity\",\"hue\",\"od280/od315_of_diluted_wines\",\"proline\"]])\n",
+    "predictors_test\n",
+    "\n",
+    "accuracy = knn.score(\n",
+    "    predictors_test[[\"alcohol\", \"malic_acid\",\"ash\",\"alcalinity_of_ash\",\"magnesium\",\"total_phenols\",\"flavanoids\",\"nonflavanoid_phenols\",\"proanthocyanins\",\"color_intensity\",\"hue\",\"od280/od315_of_diluted_wines\",\"proline\"]],\n",
+    "    #predictors_test[\"class\"]\n",
+    "    y_test\n",
+    ")\n",
+    "print(\"Accuracy Score: :\",accuracy)\n",
+    "# 93.33 accuracy\n",
+    "\n",
+    "accuracy_grid_score = pd.DataFrame(predictors_tune_grid.cv_results_)\n",
+    "\n",
+    "accuracy_grid_score.sort_values(by=['rank_test_score','param_n_neighbors'])\n",
+    "#Rank 1 for n_neighbors=15 "
    ]
   },
   {
@@ -365,7 +4770,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.10.4",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -379,12 +4784,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.19"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "497a84dc8fec8cf8d24e7e87b6d954c9a18a327edc66feb9b9ea7e9e72cc5c7e"
-   }
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,