The best classifier.ipynb

{"nbformat_minor": 2, "cells": [{"source": "<h1 align=\"center\"><font size=\"5\">Classification with Python</font></h1>", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "We load a dataset using Pandas library, and apply the following algorithms, and find the best one for this specific dataset by accuracy evaluation methods.\n\nLets first load required libraries:", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "import itertools\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom matplotlib.ticker import NullFormatter\nimport pandas as pd\nimport numpy as np\nimport matplotlib.ticker as ticker\nfrom sklearn import preprocessing\n%matplotlib inline", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [], "execution_count": 1}, {"source": "### About dataset", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "This dataset is about past loans. The __Loan_train.csv__ data set includes details of 346 customers whose loan are already paid off or defaulted. It includes following fields:\n\n| Field          | Description                                                                           |\n|----------------|---------------------------------------------------------------------------------------|\n| Loan_status    | Whether a loan is paid off on in collection                                           |\n| Principal      | Basic principal loan amount at the                                                    |\n| Terms          | Origination terms which can be weekly (7 days), biweekly, and monthly payoff schedule |\n| Effective_date | When the loan got originated and took effects                                         |\n| Due_date       | Since it\u2019s one-time payoff schedule, each loan has one single due date                |\n| Age            | Age of applicant                                                                      |\n| Education      | Education of applicant                                                                |\n| Gender         | The gender of applicant                                                               |", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "Lets download the dataset", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "!wget -O loan_train.csv https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/loan_train.csv", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "--2019-01-04 13:17:13--  https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/loan_train.csv\nResolving s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)... 67.228.254.193\nConnecting to s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)|67.228.254.193|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 23101 (23K) [text/csv]\nSaving to: \u2018loan_train.csv\u2019\n\n100%[======================================>] 23,101      --.-K/s   in 0.002s  \n\n2019-01-04 13:17:13 (14.0 MB/s) - \u2018loan_train.csv\u2019 saved [23101/23101]\n\n"}], "execution_count": 2}, {"source": "### Load Data From CSV File  ", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "df = pd.read_csv('loan_train.csv')\ndf.head()", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "execute_result", "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Unnamed: 0.1</th>\n      <th>loan_status</th>\n      <th>Principal</th>\n      <th>terms</th>\n      <th>effective_date</th>\n      <th>due_date</th>\n      <th>age</th>\n      <th>education</th>\n      <th>Gender</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>0</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>9/8/2016</td>\n      <td>10/7/2016</td>\n      <td>45</td>\n      <td>High School or Below</td>\n      <td>male</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>2</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>9/8/2016</td>\n      <td>10/7/2016</td>\n      <td>33</td>\n      <td>Bechalor</td>\n      <td>female</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>3</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>15</td>\n      <td>9/8/2016</td>\n      <td>9/22/2016</td>\n      <td>27</td>\n      <td>college</td>\n      <td>male</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>4</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>9/9/2016</td>\n      <td>10/8/2016</td>\n      <td>28</td>\n      <td>college</td>\n      <td>female</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>6</td>\n      <td>6</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>9/9/2016</td>\n      <td>10/8/2016</td>\n      <td>29</td>\n      <td>college</td>\n      <td>male</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n0           0             0     PAIDOFF       1000     30       9/8/2016   \n1           2             2     PAIDOFF       1000     30       9/8/2016   \n2           3             3     PAIDOFF       1000     15       9/8/2016   \n3           4             4     PAIDOFF       1000     30       9/9/2016   \n4           6             6     PAIDOFF       1000     30       9/9/2016   \n\n    due_date  age             education  Gender  \n0  10/7/2016   45  High School or Below    male  \n1  10/7/2016   33              Bechalor  female  \n2  9/22/2016   27               college    male  \n3  10/8/2016   28               college  female  \n4  10/8/2016   29               college    male  "}, "execution_count": 3, "metadata": {}}], "execution_count": 3}, {"source": "df.shape", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "execute_result", "data": {"text/plain": "(346, 10)"}, "execution_count": 4, "metadata": {}}], "execution_count": 4}, {"source": "### Convert to date time object ", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "df['due_date'] = pd.to_datetime(df['due_date'])\ndf['effective_date'] = pd.to_datetime(df['effective_date'])\ndf.head()", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "execute_result", "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Unnamed: 0.1</th>\n      <th>loan_status</th>\n      <th>Principal</th>\n      <th>terms</th>\n      <th>effective_date</th>\n      <th>due_date</th>\n      <th>age</th>\n      <th>education</th>\n      <th>Gender</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>0</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-08</td>\n      <td>2016-10-07</td>\n      <td>45</td>\n      <td>High School or Below</td>\n      <td>male</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>2</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-08</td>\n      <td>2016-10-07</td>\n      <td>33</td>\n      <td>Bechalor</td>\n      <td>female</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>3</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>15</td>\n      <td>2016-09-08</td>\n      <td>2016-09-22</td>\n      <td>27</td>\n      <td>college</td>\n      <td>male</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>4</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-09</td>\n      <td>2016-10-08</td>\n      <td>28</td>\n      <td>college</td>\n      <td>female</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>6</td>\n      <td>6</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-09</td>\n      <td>2016-10-08</td>\n      <td>29</td>\n      <td>college</td>\n      <td>male</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n0           0             0     PAIDOFF       1000     30     2016-09-08   \n1           2             2     PAIDOFF       1000     30     2016-09-08   \n2           3             3     PAIDOFF       1000     15     2016-09-08   \n3           4             4     PAIDOFF       1000     30     2016-09-09   \n4           6             6     PAIDOFF       1000     30     2016-09-09   \n\n    due_date  age             education  Gender  \n0 2016-10-07   45  High School or Below    male  \n1 2016-10-07   33              Bechalor  female  \n2 2016-09-22   27               college    male  \n3 2016-10-08   28               college  female  \n4 2016-10-08   29               college    male  "}, "execution_count": 5, "metadata": {}}], "execution_count": 5}, {"source": "# Data visualization and pre-processing\n\n", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "Let\u2019s see how many of each class is in our data set ", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "df['loan_status'].value_counts()", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "execute_result", "data": {"text/plain": "PAIDOFF       260\nCOLLECTION     86\nName: loan_status, dtype: int64"}, "execution_count": 6, "metadata": {}}], "execution_count": 6}, {"source": "260 people have paid off the loan on time while 86 have gone into collection \n", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "Lets plot some columns to underestand data better:", "cell_type": "markdown", "metadata": {}}, {"source": "# notice: installing seaborn might takes a few minutes\n!conda install -c anaconda seaborn -y", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Solving environment: done\n\n## Package Plan ##\n\n  environment location: /Users/Saeed/anaconda/envs/python3.6\n\n  added / updated specs: \n    - seaborn\n\n\nThe following packages will be downloaded:\n\n    package                    |            build\n    ---------------------------|-----------------\n    openssl-1.0.2o             |       h26aff7b_0         3.4 MB  anaconda\n    ca-certificates-2018.03.07 |                0         124 KB  anaconda\n    ------------------------------------------------------------\n                                           Total:         3.5 MB\n\nThe following packages will be UPDATED:\n\n    ca-certificates: 2018.03.07-0      --> 2018.03.07-0      anaconda\n    openssl:         1.0.2o-h26aff7b_0 --> 1.0.2o-h26aff7b_0 anaconda\n\n\nDownloading and Extracting Packages\nopenssl-1.0.2o       |  3.4 MB | ####################################### | 100% \nca-certificates-2018 |  124 KB | ####################################### | 100% \nPreparing transaction: done\nVerifying transaction: done\nExecuting transaction: done\n"}], "execution_count": 7}, {"source": "import seaborn as sns\n\nbins = np.linspace(df.Principal.min(), df.Principal.max(), 10)\ng = sns.FacetGrid(df, col=\"Gender\", hue=\"loan_status\", palette=\"Set1\", col_wrap=2)\ng.map(plt.hist, 'Principal', bins=bins, ec=\"k\")\n\ng.axes[-1].legend()\nplt.show()", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "display_data", "data": {"image/png": 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\n", "text/plain": "<matplotlib.figure.Figure at 0x2af2aea13828>"}, "metadata": {}}], "execution_count": 7}, {"source": "bins = np.linspace(df.age.min(), df.age.max(), 10)\ng = sns.FacetGrid(df, col=\"Gender\", hue=\"loan_status\", palette=\"Set1\", col_wrap=2)\ng.map(plt.hist, 'age', bins=bins, ec=\"k\")\n\ng.axes[-1].legend()\nplt.show()", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "display_data", "data": {"image/png": 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\n", "text/plain": "<matplotlib.figure.Figure at 0x2af2b71cd588>"}, "metadata": {}}], "execution_count": 8}, {"source": "# Pre-processing:  Feature selection/extraction", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "### Lets look at the day of the week people get the loan ", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "df['dayofweek'] = df['effective_date'].dt.dayofweek\nbins = np.linspace(df.dayofweek.min(), df.dayofweek.max(), 10)\ng = sns.FacetGrid(df, col=\"Gender\", hue=\"loan_status\", palette=\"Set1\", col_wrap=2)\ng.map(plt.hist, 'dayofweek', bins=bins, ec=\"k\")\ng.axes[-1].legend()\nplt.show()\n", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "display_data", "data": {"image/png": 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\n", "text/plain": "<matplotlib.figure.Figure at 0x2af2b72e1b00>"}, "metadata": {}}], "execution_count": 9}, {"source": "We see that people who get the loan at the end of the week dont pay it off, so lets use Feature binarization to set a threshold values less then day 4 ", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "df['weekend'] = df['dayofweek'].apply(lambda x: 1 if (x>3)  else 0)\ndf.head()", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "execute_result", "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Unnamed: 0.1</th>\n      <th>loan_status</th>\n      <th>Principal</th>\n      <th>terms</th>\n      <th>effective_date</th>\n      <th>due_date</th>\n      <th>age</th>\n      <th>education</th>\n      <th>Gender</th>\n      <th>dayofweek</th>\n      <th>weekend</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>0</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-08</td>\n      <td>2016-10-07</td>\n      <td>45</td>\n      <td>High School or Below</td>\n      <td>male</td>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>2</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-08</td>\n      <td>2016-10-07</td>\n      <td>33</td>\n      <td>Bechalor</td>\n      <td>female</td>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>3</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>15</td>\n      <td>2016-09-08</td>\n      <td>2016-09-22</td>\n      <td>27</td>\n      <td>college</td>\n      <td>male</td>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>4</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-09</td>\n      <td>2016-10-08</td>\n      <td>28</td>\n      <td>college</td>\n      <td>female</td>\n      <td>4</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>6</td>\n      <td>6</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-09</td>\n      <td>2016-10-08</td>\n      <td>29</td>\n      <td>college</td>\n      <td>male</td>\n      <td>4</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n0           0             0     PAIDOFF       1000     30     2016-09-08   \n1           2             2     PAIDOFF       1000     30     2016-09-08   \n2           3             3     PAIDOFF       1000     15     2016-09-08   \n3           4             4     PAIDOFF       1000     30     2016-09-09   \n4           6             6     PAIDOFF       1000     30     2016-09-09   \n\n    due_date  age             education  Gender  dayofweek  weekend  \n0 2016-10-07   45  High School or Below    male          3        0  \n1 2016-10-07   33              Bechalor  female          3        0  \n2 2016-09-22   27               college    male          3        0  \n3 2016-10-08   28               college  female          4        1  \n4 2016-10-08   29               college    male          4        1  "}, "execution_count": 10, "metadata": {}}], "execution_count": 10}, {"source": "## Convert Categorical features to numerical values", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "Lets look at gender:", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "df.groupby(['Gender'])['loan_status'].value_counts(normalize=True)", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "execute_result", "data": {"text/plain": "Gender  loan_status\nfemale  PAIDOFF        0.865385\n        COLLECTION     0.134615\nmale    PAIDOFF        0.731293\n        COLLECTION     0.268707\nName: loan_status, dtype: float64"}, "execution_count": 11, "metadata": {}}], "execution_count": 11}, {"source": "86 % of female pay there loans while only 73 % of males pay there loan\n", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "Lets convert male to 0 and female to 1:\n", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "df['Gender'].replace(to_replace=['male','female'], value=[0,1],inplace=True)\ndf.head()", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "execute_result", "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Unnamed: 0.1</th>\n      <th>loan_status</th>\n      <th>Principal</th>\n      <th>terms</th>\n      <th>effective_date</th>\n      <th>due_date</th>\n      <th>age</th>\n      <th>education</th>\n      <th>Gender</th>\n      <th>dayofweek</th>\n      <th>weekend</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>0</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-08</td>\n      <td>2016-10-07</td>\n      <td>45</td>\n      <td>High School or Below</td>\n      <td>0</td>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>2</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-08</td>\n      <td>2016-10-07</td>\n      <td>33</td>\n      <td>Bechalor</td>\n      <td>1</td>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>3</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>15</td>\n      <td>2016-09-08</td>\n      <td>2016-09-22</td>\n      <td>27</td>\n      <td>college</td>\n      <td>0</td>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>4</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-09</td>\n      <td>2016-10-08</td>\n      <td>28</td>\n      <td>college</td>\n      <td>1</td>\n      <td>4</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>6</td>\n      <td>6</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-09</td>\n      <td>2016-10-08</td>\n      <td>29</td>\n      <td>college</td>\n      <td>0</td>\n      <td>4</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n0           0             0     PAIDOFF       1000     30     2016-09-08   \n1           2             2     PAIDOFF       1000     30     2016-09-08   \n2           3             3     PAIDOFF       1000     15     2016-09-08   \n3           4             4     PAIDOFF       1000     30     2016-09-09   \n4           6             6     PAIDOFF       1000     30     2016-09-09   \n\n    due_date  age             education  Gender  dayofweek  weekend  \n0 2016-10-07   45  High School or Below       0          3        0  \n1 2016-10-07   33              Bechalor       1          3        0  \n2 2016-09-22   27               college       0          3        0  \n3 2016-10-08   28               college       1          4        1  \n4 2016-10-08   29               college       0          4        1  "}, "execution_count": 12, "metadata": {}}], "execution_count": 12}, {"source": "## One Hot Encoding  \n#### How about education?", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "df.groupby(['education'])['loan_status'].value_counts(normalize=True)", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "execute_result", "data": {"text/plain": "education             loan_status\nBechalor              PAIDOFF        0.750000\n                      COLLECTION     0.250000\nHigh School or Below  PAIDOFF        0.741722\n                      COLLECTION     0.258278\nMaster or Above       COLLECTION     0.500000\n                      PAIDOFF        0.500000\ncollege               PAIDOFF        0.765101\n                      COLLECTION     0.234899\nName: loan_status, dtype: float64"}, "execution_count": 13, "metadata": {}}], "execution_count": 13}, {"source": "#### Feature befor One Hot Encoding", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "df[['Principal','terms','age','Gender','education']].head()", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "execute_result", "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Principal</th>\n      <th>terms</th>\n      <th>age</th>\n      <th>Gender</th>\n      <th>education</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>45</td>\n      <td>0</td>\n      <td>High School or Below</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>33</td>\n      <td>1</td>\n      <td>Bechalor</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1000</td>\n      <td>15</td>\n      <td>27</td>\n      <td>0</td>\n      <td>college</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>28</td>\n      <td>1</td>\n      <td>college</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>29</td>\n      <td>0</td>\n      <td>college</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Principal  terms  age  Gender             education\n0       1000     30   45       0  High School or Below\n1       1000     30   33       1              Bechalor\n2       1000     15   27       0               college\n3       1000     30   28       1               college\n4       1000     30   29       0               college"}, "execution_count": 14, "metadata": {}}], "execution_count": 14}, {"source": "#### Use one hot encoding technique to conver categorical varables to binary variables and append them to the feature Data Frame ", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "Feature = df[['Principal','terms','age','Gender','weekend']]\nFeature = pd.concat([Feature,pd.get_dummies(df['education'])], axis=1)\nFeature.drop(['Master or Above'], axis = 1,inplace=True)\nFeature.head()\n", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "execute_result", "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Principal</th>\n      <th>terms</th>\n      <th>age</th>\n      <th>Gender</th>\n      <th>weekend</th>\n      <th>Bechalor</th>\n      <th>High School or Below</th>\n      <th>college</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>45</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>33</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1000</td>\n      <td>15</td>\n      <td>27</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>28</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>29</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Principal  terms  age  Gender  weekend  Bechalor  High School or Below  \\\n0       1000     30   45       0        0         0                     1   \n1       1000     30   33       1        0         1                     0   \n2       1000     15   27       0        0         0                     0   \n3       1000     30   28       1        1         0                     0   \n4       1000     30   29       0        1         0                     0   \n\n   college  \n0        0  \n1        0  \n2        1  \n3        1  \n4        1  "}, "execution_count": 15, "metadata": {}}], "execution_count": 15}, {"source": "### Feature selection", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "Lets defind feature sets, X:", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "X = Feature\nX[0:5]", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "execute_result", "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Principal</th>\n      <th>terms</th>\n      <th>age</th>\n      <th>Gender</th>\n      <th>weekend</th>\n      <th>Bechalor</th>\n      <th>High School or Below</th>\n      <th>college</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>45</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>33</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1000</td>\n      <td>15</td>\n      <td>27</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>28</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>29</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Principal  terms  age  Gender  weekend  Bechalor  High School or Below  \\\n0       1000     30   45       0        0         0                     1   \n1       1000     30   33       1        0         1                     0   \n2       1000     15   27       0        0         0                     0   \n3       1000     30   28       1        1         0                     0   \n4       1000     30   29       0        1         0                     0   \n\n   college  \n0        0  \n1        0  \n2        1  \n3        1  \n4        1  "}, "execution_count": 16, "metadata": {}}], "execution_count": 16}, {"source": "What are our lables?", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "y = df['loan_status'].values\ny[0:5]", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "execute_result", "data": {"text/plain": "array(['PAIDOFF', 'PAIDOFF', 'PAIDOFF', 'PAIDOFF', 'PAIDOFF'], dtype=object)"}, "execution_count": 17, "metadata": {}}], "execution_count": 17}, {"source": "## Normalize Data ", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "Data Standardization give data zero mean and unit variance (technically should be done after train test split )", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "X= preprocessing.StandardScaler().fit(X).transform(X)\nX[0:5]", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "execute_result", "data": {"text/plain": "array([[ 0.51578458,  0.92071769,  2.33152555, -0.42056004, -1.20577805,\n        -0.38170062,  1.13639374, -0.86968108],\n       [ 0.51578458,  0.92071769,  0.34170148,  2.37778177, -1.20577805,\n         2.61985426, -0.87997669, -0.86968108],\n       [ 0.51578458, -0.95911111, -0.65321055, -0.42056004, -1.20577805,\n        -0.38170062, -0.87997669,  1.14984679],\n       [ 0.51578458,  0.92071769, -0.48739188,  2.37778177,  0.82934003,\n        -0.38170062, -0.87997669,  1.14984679],\n       [ 0.51578458,  0.92071769, -0.3215732 , -0.42056004,  0.82934003,\n        -0.38170062, -0.87997669,  1.14984679]])"}, "execution_count": 18, "metadata": {}}], "execution_count": 18}, {"source": "# Classification ", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "Now, it is your turn, use the training set to build an accurate model. Then use the test set to report the accuracy of the model\nYou should use the following algorithm:\n- K Nearest Neighbor(KNN)\n- Decision Tree\n- Support Vector Machine\n- Logistic Regression\n\n\n\n__ Notice:__ \n- You can go above and change the pre-processing, feature selection, feature-extraction, and so on, to make a better model.\n- You should use either scikit-learn, Scipy or Numpy libraries for developing the classification algorithms.\n- You should include the code of the algorithm in the following cells.", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "# K Nearest Neighbor(KNN)\nNotice: You should find the best k to build the model with the best accuracy.  \n**warning:** You should not use the __loan_test.csv__ for finding the best k, however, you can split your train_loan.csv into train and test to find the best __k__.", "cell_type": "markdown", "metadata": {}}, {"source": "from sklearn.model_selection import train_test_split\nX_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.2, random_state=4)\nprint ('Train set:', X_train.shape,  y_train.shape)\nprint ('Test set:', X_test.shape,  y_test.shape)", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Train set: (276, 8) (276,)\nTest set: (70, 8) (70,)\n"}], "execution_count": 22}, {"source": "from sklearn.neighbors import KNeighborsClassifier\nk = 6\n\nneighK6 = KNeighborsClassifier(n_neighbors = k).fit(X_train,y_train)\nneighK6\n \nyhat = neighK6.predict(X_test)\nyhat[0:5]\n\nfrom sklearn import metrics\nprint(\"Train set Accuracy: \", metrics.accuracy_score(y_train, neighK6.predict(X_train)))\nprint(\"Test set Accuracy: \", metrics.accuracy_score(y_test, yhat))", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Train set Accuracy:  0.800724637681\nTest set Accuracy:  0.714285714286\n"}], "execution_count": 23}, {"source": "Ks = 10\nmean_acc = np.zeros((Ks-1))\nstd_acc = np.zeros((Ks-1))\n\nConfustionMx = [];\nfor n in range(1,Ks):\n    \n    \n    neigh = KNeighborsClassifier(n_neighbors = n).fit(X_train,y_train)\n    yhat=neigh.predict(X_test)\n    mean_acc[n-1] = metrics.accuracy_score(y_test, yhat)\n\n    \n    std_acc[n-1]=np.std(yhat==y_test)/np.sqrt(yhat.shape[0])\n\nplt.plot(range(1,Ks),mean_acc,'g')\nplt.fill_between(range(1,Ks),mean_acc - 1 * std_acc,mean_acc + 1 * std_acc, alpha=0.10)\nplt.legend(('Accuracy ', '+/- 3xstd'))\nplt.ylabel('Accuracy ')\nplt.xlabel('Number of Nabors (K)')\nplt.tight_layout()\nplt.show()\nprint( \"Best accuracy:\", mean_acc.max(), \"k=\", mean_acc.argmax()+1)", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "display_data", "data": {"image/png": 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\n", "text/plain": "<matplotlib.figure.Figure at 0x2af2af70da90>"}, "metadata": {}}, {"output_type": "stream", "name": "stdout", "text": "Best accuracy: 0.785714285714 k= 7\n"}], "execution_count": 25}, {"source": "# Decision Tree", "cell_type": "markdown", "metadata": {}}, {"source": "from sklearn.tree import DecisionTreeClassifier\nfrom sklearn.model_selection import train_test_split\nX_trainset, X_testset, y_trainset, y_testset = train_test_split(X, y, test_size=0.3, random_state=3)\n#Modelling\nTree = DecisionTreeClassifier(criterion=\"entropy\", max_depth = 6)\nTree", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "execute_result", "data": {"text/plain": "DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=6,\n            max_features=None, max_leaf_nodes=None,\n            min_impurity_decrease=0.0, min_impurity_split=None,\n            min_samples_leaf=1, min_samples_split=2,\n            min_weight_fraction_leaf=0.0, presort=False, random_state=None,\n            splitter='best')"}, "execution_count": 26, "metadata": {}}], "execution_count": 26}, {"source": "Tree.fit(X_trainset,y_trainset)", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "execute_result", "data": {"text/plain": "DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=6,\n            max_features=None, max_leaf_nodes=None,\n            min_impurity_decrease=0.0, min_impurity_split=None,\n            min_samples_leaf=1, min_samples_split=2,\n            min_weight_fraction_leaf=0.0, presort=False, random_state=None,\n            splitter='best')"}, "execution_count": 27, "metadata": {}}], "execution_count": 27}, {"source": "predTree = Tree.predict(X_testset)\nprint (predTree [0:5])\nprint (y_testset [0:5])\n\nfrom sklearn import metrics\nimport matplotlib.pyplot as plt\n\nprint(\"Accuracy: \", metrics.accuracy_score(y_testset, predTree))\n\n\n!conda install -c conda-forge pydotplus -y\n!conda install -c conda-forge python-graphviz -y\nfrom sklearn.externals.six import StringIO\nimport pydotplus\nimport matplotlib.image as mpimg\nfrom sklearn import tree\n%matplotlib inline \ndot_data = StringIO()\nfilename = \"loan.png\"\nfeatureNames = df.columns[0:8]\ntargetNames = df['loan_status'].unique().tolist()\nout=tree.export_graphviz(Tree,feature_names=featureNames, out_file=dot_data, class_names= np.unique(y_trainset), filled=True,  special_characters=True,rotate=False)  \ngraph = pydotplus.graph_from_dot_data(dot_data.getvalue())  \ngraph.write_png(filename)\nimg = mpimg.imread(filename)\nplt.figure(figsize=(100, 200))\nplt.imshow(img,interpolation='nearest')", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "['PAIDOFF' 'PAIDOFF' 'PAIDOFF' 'PAIDOFF' 'PAIDOFF']\n['PAIDOFF' 'PAIDOFF' 'COLLECTION' 'COLLECTION' 'PAIDOFF']\nAccuracy:  0.701923076923\nFetching package metadata .............\nSolving package specifications: .\n\nPackage plan for installation in environment /opt/conda/envs/DSX-Python35:\n\nThe following NEW packages will be INSTALLED:\n\n    pydotplus: 2.0.2-py_2 conda-forge\n\npydotplus-2.0. 100% |################################| Time: 0:00:00  18.80 MB/s\nFetching package metadata .............\nSolving package specifications: .\n\nPackage plan for installation in environment /opt/conda/envs/DSX-Python35:\n\nThe following NEW packages will be INSTALLED:\n\n    python-graphviz: 0.8.4-py35_2 conda-forge\n\npython-graphvi 100% |################################| Time: 0:00:00  18.89 MB/s\n"}, {"output_type": "execute_result", "data": {"text/plain": "<matplotlib.image.AxesImage at 0x2af2b9463320>"}, "execution_count": 28, "metadata": {}}, {"output_type": "display_data", "data": {"image/png": 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"text/plain": "<matplotlib.figure.Figure at 0x2af2b9488c18>"}, "metadata": {}}], "execution_count": 28}, {"source": "# Support Vector Machine", "cell_type": "markdown", "metadata": {}}, {"source": "df.dtypes\ndf = df[pd.to_numeric(df['education'], errors='coerce').notnull()]\ndf['education'] = df['education'].astype('int')\ndf.dtypes\n\nfrom sklearn import svm\nclf = svm.SVC(kernel='rbf')\nclf.fit(X_train, y_train)", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "execute_result", "data": {"text/plain": "SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,\n  decision_function_shape='ovr', degree=3, gamma='auto', kernel='rbf',\n  max_iter=-1, probability=False, random_state=None, shrinking=True,\n  tol=0.001, verbose=False)"}, "execution_count": 29, "metadata": {}}], "execution_count": 29}, {"source": "yhat = clf.predict(X_test)\nyhat [0:5]\nfrom sklearn.metrics import classification_report, confusion_matrix\nimport itertools", "cell_type": "code", "metadata": {}, "outputs": [], "execution_count": 30}, {"source": "def plot_confusion_matrix(cm, classes,\n                          normalize=False,\n                          title='Confusion matrix',\n                          cmap=plt.cm.Blues):\n\n    if normalize:\n        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n\n    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n    plt.title(title)\n    plt.colorbar()\n    tick_marks = np.arange(len(classes))\n    plt.xticks(tick_marks, classes, rotation=45)\n    plt.yticks(tick_marks, classes)\n\n    fmt = '.2f' if normalize else 'd'\n    thresh = cm.max() / 2.\n    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n        plt.text(j, i, format(cm[i, j], fmt),\n                 horizontalalignment=\"center\",\n                 color=\"white\" if cm[i, j] > thresh else \"black\")\n\n    plt.tight_layout()\n    plt.ylabel('True label')\n    plt.xlabel('Predicted label')\ncnf_matrix = confusion_matrix(y_test, yhat, labels=['PAIDOFF','COLLECTION'])\nnp.set_printoptions(precision=2)\n\nprint (classification_report(y_test, yhat))\n\nplt.figure()\nplot_confusion_matrix(cnf_matrix, classes=['PAIDOFF','COLLECTION'],normalize= False,  title='Confusion matrix')\n\nfrom sklearn.metrics import f1_score\nf1_score(y_test, yhat, average='weighted')\n\nfrom sklearn.metrics import jaccard_similarity_score\njaccard_similarity_score(y_test, yhat)", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "             precision    recall  f1-score   support\n\n COLLECTION       0.36      0.27      0.31        15\n    PAIDOFF       0.81      0.87      0.84        55\n\navg / total       0.72      0.74      0.73        70\n\n"}, {"output_type": "execute_result", "data": {"text/plain": "0.74285714285714288"}, "execution_count": 34, "metadata": {}}, {"output_type": "display_data", "data": {"image/png": 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\n", "text/plain": "<matplotlib.figure.Figure at 0x2af2b9463908>"}, "metadata": {}}], "execution_count": 34}, {"source": "# Logistic Regression", "cell_type": "markdown", "metadata": {}}, {"source": "df = df[['loan_status', 'Principal', 'terms', 'effective_date', 'due_date', 'age', 'education', 'Gender']]\ndf['loan_status'] = df['loan_status'].astype('int')\n\nfrom sklearn import preprocessing\nX = preprocessing.StandardScaler().fit(X).transform(X)\nX[0:5]\n\nfrom sklearn.model_selection import train_test_split\nX_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.2, random_state=4)\nprint ('Train set:', X_train.shape,  y_train.shape)\nprint ('Test set:', X_test.shape,  y_test.shape)\n\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.metrics import confusion_matrix\nLogR = LogisticRegression(C=0.01, solver='liblinear').fit(X_train,y_train)\nLogR", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Train set: (276, 8) (276,)\nTest set: (70, 8) (70,)\n"}, {"output_type": "execute_result", "data": {"text/plain": "LogisticRegression(C=0.01, class_weight=None, dual=False, fit_intercept=True,\n          intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1,\n          penalty='l2', random_state=None, solver='liblinear', tol=0.0001,\n          verbose=0, warm_start=False)"}, "execution_count": 35, "metadata": {}}], "execution_count": 35}, {"source": "yhat = LogR.predict(X_test)\nyhat\nyhat_prob = LogR.predict_proba(X_test)\nyhat_prob", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "execute_result", "data": {"text/plain": "array([[ 0.5 ,  0.5 ],\n       [ 0.45,  0.55],\n       [ 0.31,  0.69],\n       [ 0.34,  0.66],\n       [ 0.32,  0.68],\n       [ 0.32,  0.68],\n       [ 0.49,  0.51],\n       [ 0.48,  0.52],\n       [ 0.34,  0.66],\n       [ 0.49,  0.51],\n       [ 0.34,  0.66],\n       [ 0.5 ,  0.5 ],\n       [ 0.25,  0.75],\n       [ 0.34,  0.66],\n       [ 0.44,  0.56],\n       [ 0.26,  0.74],\n       [ 0.52,  0.48],\n       [ 0.3 ,  0.7 ],\n       [ 0.5 ,  0.5 ],\n       [ 0.32,  0.68],\n       [ 0.44,  0.56],\n       [ 0.49,  0.51],\n       [ 0.51,  0.49],\n       [ 0.47,  0.53],\n       [ 0.41,  0.59],\n       [ 0.51,  0.49],\n       [ 0.51,  0.49],\n       [ 0.37,  0.63],\n       [ 0.5 ,  0.5 ],\n       [ 0.25,  0.75],\n       [ 0.47,  0.53],\n       [ 0.46,  0.54],\n       [ 0.46,  0.54],\n       [ 0.48,  0.52],\n       [ 0.39,  0.61],\n       [ 0.46,  0.54],\n       [ 0.5 ,  0.5 ],\n       [ 0.29,  0.71],\n       [ 0.46,  0.54],\n       [ 0.45,  0.55],\n       [ 0.51,  0.49],\n       [ 0.32,  0.68],\n       [ 0.45,  0.55],\n       [ 0.51,  0.49],\n       [ 0.31,  0.69],\n       [ 0.5 ,  0.5 ],\n       [ 0.47,  0.53],\n       [ 0.5 ,  0.5 ],\n       [ 0.46,  0.54],\n       [ 0.46,  0.54],\n       [ 0.28,  0.72],\n       [ 0.47,  0.53],\n       [ 0.31,  0.69],\n       [ 0.49,  0.51],\n       [ 0.28,  0.72],\n       [ 0.25,  0.75],\n       [ 0.32,  0.68],\n       [ 0.43,  0.57],\n       [ 0.47,  0.53],\n       [ 0.34,  0.66],\n       [ 0.42,  0.58],\n       [ 0.33,  0.67],\n       [ 0.46,  0.54],\n       [ 0.53,  0.47],\n       [ 0.32,  0.68],\n       [ 0.49,  0.51],\n       [ 0.33,  0.67],\n       [ 0.42,  0.58],\n       [ 0.45,  0.55],\n       [ 0.32,  0.68]])"}, "execution_count": 36, "metadata": {}}], "execution_count": 36}, {"source": "from sklearn.metrics import jaccard_similarity_score\njaccard_similarity_score(y_test, yhat)\nfrom sklearn.metrics import log_loss\nlog_loss(y_test, yhat_prob)", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "execute_result", "data": {"text/plain": "0.57722876094796538"}, "execution_count": 37, "metadata": {}}], "execution_count": 37}, {"source": "# Model Evaluation using Test set", "cell_type": "markdown", "metadata": {}}, {"source": "from sklearn.metrics import jaccard_similarity_score\nfrom sklearn.metrics import f1_score\nfrom sklearn.metrics import log_loss", "cell_type": "code", "metadata": {}, "outputs": [], "execution_count": 38}, {"source": "First, download and load the test set:", "cell_type": "markdown", "metadata": {}}, {"source": "!wget -O loan_test.csv https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/loan_test.csv", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "--2019-01-04 13:28:15--  https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/loan_test.csv\nResolving s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)... 67.228.254.193\nConnecting to s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)|67.228.254.193|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 3642 (3.6K) [text/csv]\nSaving to: \u2018loan_test.csv\u2019\n\n100%[======================================>] 3,642       --.-K/s   in 0s      \n\n2019-01-04 13:28:15 (491 MB/s) - \u2018loan_test.csv\u2019 saved [3642/3642]\n\n"}], "execution_count": 39}, {"source": "### Load Test set for evaluation ", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}, {"source": "test_df = pd.read_csv('loan_test.csv')\ntest_df.head()", "cell_type": "code", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}, "outputs": [{"output_type": "execute_result", "data": {"text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Unnamed: 0.1</th>\n      <th>loan_status</th>\n      <th>Principal</th>\n      <th>terms</th>\n      <th>effective_date</th>\n      <th>due_date</th>\n      <th>age</th>\n      <th>education</th>\n      <th>Gender</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>1</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>9/8/2016</td>\n      <td>10/7/2016</td>\n      <td>50</td>\n      <td>Bechalor</td>\n      <td>female</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>5</td>\n      <td>5</td>\n      <td>PAIDOFF</td>\n      <td>300</td>\n      <td>7</td>\n      <td>9/9/2016</td>\n      <td>9/15/2016</td>\n      <td>35</td>\n      <td>Master or Above</td>\n      <td>male</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>21</td>\n      <td>21</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>9/10/2016</td>\n      <td>10/9/2016</td>\n      <td>43</td>\n      <td>High School or Below</td>\n      <td>female</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>24</td>\n      <td>24</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>9/10/2016</td>\n      <td>10/9/2016</td>\n      <td>26</td>\n      <td>college</td>\n      <td>male</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>35</td>\n      <td>35</td>\n      <td>PAIDOFF</td>\n      <td>800</td>\n      <td>15</td>\n      <td>9/11/2016</td>\n      <td>9/25/2016</td>\n      <td>29</td>\n      <td>Bechalor</td>\n      <td>male</td>\n    </tr>\n  </tbody>\n</table>\n</div>", "text/plain": "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n0           1             1     PAIDOFF       1000     30       9/8/2016   \n1           5             5     PAIDOFF        300      7       9/9/2016   \n2          21            21     PAIDOFF       1000     30      9/10/2016   \n3          24            24     PAIDOFF       1000     30      9/10/2016   \n4          35            35     PAIDOFF        800     15      9/11/2016   \n\n    due_date  age             education  Gender  \n0  10/7/2016   50              Bechalor  female  \n1  9/15/2016   35       Master or Above    male  \n2  10/9/2016   43  High School or Below  female  \n3  10/9/2016   26               college    male  \n4  9/25/2016   29              Bechalor    male  "}, "execution_count": 40, "metadata": {}}], "execution_count": 40}, {"source": "X= preprocessing.StandardScaler().fit(X).transform(X)\nX[0:5]\nY = test_df['loan_status'].values\nY[0:5]", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "execute_result", "data": {"text/plain": "array(['PAIDOFF', 'PAIDOFF', 'PAIDOFF', 'PAIDOFF', 'PAIDOFF'], dtype=object)"}, "execution_count": 41, "metadata": {}}], "execution_count": 41}, {"source": "#test the KNN algorithm already trained with K=6\nyhatKNN=neigh.predict(X)\nKNNJaccard = jaccard_similarity_score(y, yhatKNN)\nKNNF1 = f1_score(y, yhatKNN, average='weighted')\nprint(\"Avg F1-score: %.2f\" % KNNF1 )\nprint(\"KNN Jaccard Score: %.2f\" % KNNJaccard)\n\n\nyhatDEC = Tree.predict(X)\nDTJaccard = jaccard_similarity_score(y, yhatDEC)\nDTF1 = f1_score(y, yhatDEC, average='weighted')\nprint(\"Avg F1-score: %.2f\" % DTF1 )\nprint(\"Decision Tree Jaccard Score: %.2f\" % DTJaccard)\n\nyhatSVM=clf.predict(X)\nSVMJaccard = jaccard_similarity_score(y, yhatSVM)\nSVMF1 = f1_score(y, yhatSVM, average='weighted')\nprint(\"Avg F1-score: %.2f\" % SVMF1)\nprint(\"SVM Jaccard score: %.2f\" % SVMJaccard)\n\nyhatLOG = LogR.predict(X)\nyhatLOGproba = LogR.predict_proba(X)\nLogRJaccard = jaccard_similarity_score(y, yhatLOG)\nLogRF1 = f1_score(y, yhatLOG, average='weighted')\nLogloss = log_loss(y, yhatLOGproba)\nprint(\"LogLoss: : %.2f\" % Logloss)\nprint(\"Avg F1-score: %.4f\" % LogRF1)\nprint(\"LOG Jaccard score: %.4f\" % LogRJaccard)", "cell_type": "code", "metadata": {}, "outputs": [{"output_type": "stream", "name": "stdout", "text": "Avg F1-score: 0.78\nKNN Jaccard Score: 0.79\nAvg F1-score: 0.78\nDecision Tree Jaccard Score: 0.79\nAvg F1-score: 0.76\nSVM Jaccard score: 0.77\nLogLoss: : 0.56\nAvg F1-score: 0.7199\nLOG Jaccard score: 0.7428\n"}], "execution_count": 44}, {"source": "", "cell_type": "code", "metadata": {}, "outputs": [], "execution_count": null}, {"source": "# Report\nYou should be able to report the accuracy of the built model using different evaluation metrics:", "cell_type": "markdown", "metadata": {}}, {"source": "| Algorithm          | Jaccard | F1-score | LogLoss |\n|--------------------|---------|----------|---------|\n| KNN                | 0.79    | 0.78     | NA      |\n| Decision Tree      | 0.79    | 0.78     | NA      |\n| SVM                | 0.77    | 0.76     | NA      |\n| LogisticRegression | 0.7428  | 0.7199   | 0.56    |", "cell_type": "markdown", "metadata": {}}, {"source": "<h2>Want to learn more?</h2>\n\nIBM SPSS Modeler is a comprehensive analytics platform that has many machine learning algorithms. It has been designed to bring predictive intelligence to decisions made by individuals, by groups, by systems \u2013 by your enterprise as a whole. A free trial is available through this course, available here: <a href=\"http://cocl.us/ML0101EN-SPSSModeler\">SPSS Modeler</a>\n\nAlso, you can use Watson Studio to run these notebooks faster with bigger datasets. Watson Studio is IBM's leading cloud solution for data scientists, built by data scientists. With Jupyter notebooks, RStudio, Apache Spark and popular libraries pre-packaged in the cloud, Watson Studio enables data scientists to collaborate on their projects without having to install anything. Join the fast-growing community of Watson Studio users today with a free account at <a href=\"https://cocl.us/ML0101EN_DSX\">Watson Studio</a>\n\n<h3>Thanks for completing this lesson!</h3>\n\n<h4>Author:  <a href=\"https://ca.linkedin.com/in/saeedaghabozorgi\">Saeed Aghabozorgi</a></h4>\n<p><a href=\"https://ca.linkedin.com/in/saeedaghabozorgi\">Saeed Aghabozorgi</a>, PhD is a Data Scientist in IBM with a track record of developing enterprise level applications that substantially increases clients\u2019 ability to turn data into actionable knowledge. He is a researcher in data mining field and expert in developing advanced analytic methods like machine learning and statistical modelling on large datasets.</p>\n\n<hr>\n\n<p>Copyright &copy; 2018 <a href=\"https://cocl.us/DX0108EN_CC\">Cognitive Class</a>. This notebook and its source code are released under the terms of the <a href=\"https://bigdatauniversity.com/mit-license/\">MIT License</a>.</p>", "cell_type": "markdown", "metadata": {"button": false, "new_sheet": false, "run_control": {"read_only": false}}}], "metadata": {"kernelspec": {"display_name": "Python 3.5", "name": "python3", "language": "python"}, "language_info": {"mimetype": "text/x-python", "nbconvert_exporter": "python", "version": "3.5.5", "name": "python", "pygments_lexer": "ipython3", "file_extension": ".py", "codemirror_mode": {"version": 3, "name": "ipython"}}}, "nbformat": 4}