ML - Best Classifier.ipynb

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            "source": "<p style=\"text-align:center\">\n    <a href=\"https://skills.network/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01\" target=\"_blank\">\n    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/assets/logos/SN_web_lightmode.png\" width=\"200\" alt=\"Skills Network Logo\"  />\n    </a>\n</p>\n\n<h1 align=\"center\"><font size=\"5\">Classification with Python</font></h1>\n"
        },
        {
            "cell_type": "markdown",
            "metadata": {
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                "run_control": {
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            },
            "source": "In this notebook we try to practice all the classification algorithms that we have learned in this course.\n\nWe 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\nLet's first load required libraries:\n"
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {
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            },
            "outputs": [],
            "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": "markdown",
            "metadata": {
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            },
            "source": "### About dataset\n"
        },
        {
            "cell_type": "markdown",
            "metadata": {
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            },
            "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                                                               |\n"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
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                }
            },
            "source": "Let's download the dataset\n"
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "metadata": {
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            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "--2022-08-29 20:56:51--  https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-ML0101EN-SkillsNetwork/labs/FinalModule_Coursera/data/loan_train.csv\nResolving cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud (cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud)... 198.23.119.245\nConnecting to cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud (cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud)|198.23.119.245|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 23101 (23K) [text/csv]\nSaving to: \u2018loan_train.csv\u2019\n\nloan_train.csv      100%[===================>]  22.56K  --.-KB/s    in 0s      \n\n2022-08-29 20:56:51 (160 MB/s) - \u2018loan_train.csv\u2019 saved [23101/23101]\n\n"
                }
            ],
            "source": "!wget -O loan_train.csv https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-ML0101EN-SkillsNetwork/labs/FinalModule_Coursera/data/loan_train.csv"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "### Load Data From CSV File\n"
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>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": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df = pd.read_csv('loan_train.csv')\ndf.head()"
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "(346, 10)"
                    },
                    "execution_count": 4,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df.shape"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "### Convert to date time object\n"
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>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": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df['due_date'] = pd.to_datetime(df['due_date'])\ndf['effective_date'] = pd.to_datetime(df['effective_date'])\ndf.head()"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "# Data visualization and pre-processing\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\n"
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "text/plain": "PAIDOFF       260\nCOLLECTION     86\nName: loan_status, dtype: int64"
                    },
                    "execution_count": 6,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df['loan_status'].value_counts()"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "260 people have paid off the loan on time while 86 have gone into collection\n"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "Let's plot some columns to underestand data better:\n"
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Collecting package metadata (current_repodata.json): done\nSolving environment: done\n\n## Package Plan ##\n\n  environment location: /opt/conda/envs/Python-3.9\n\n  added / updated specs:\n    - seaborn\n\n\nThe following packages will be downloaded:\n\n    package                    |            build\n    ---------------------------|-----------------\n    ca-certificates-2022.07.19 |       h06a4308_0         131 KB  anaconda\n    certifi-2022.6.15          |   py39h06a4308_0         156 KB  anaconda\n    openssl-1.1.1q             |       h7f8727e_0         3.8 MB  anaconda\n    seaborn-0.11.2             |     pyhd3eb1b0_0         223 KB  anaconda\n    ------------------------------------------------------------\n                                           Total:         4.3 MB\n\nThe following packages will be SUPERSEDED by a higher-priority channel:\n\n  ca-certificates                                 pkgs/main --> anaconda\n  certifi                                         pkgs/main --> anaconda\n  openssl                                         pkgs/main --> anaconda\n  seaborn                                         pkgs/main --> anaconda\n\n\n\nDownloading and Extracting Packages\nopenssl-1.1.1q       | 3.8 MB    | ##################################### | 100% \nca-certificates-2022 | 131 KB    | ##################################### | 100% \nseaborn-0.11.2       | 223 KB    | ##################################### | 100% \ncertifi-2022.6.15    | 156 KB    | ##################################### | 100% \nPreparing transaction: done\nVerifying transaction: done\nExecuting transaction: done\n"
                }
            ],
            "source": "# notice: installing seaborn might takes a few minutes\n!conda install -c anaconda seaborn -y"
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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\n",
                        "text/plain": "<Figure size 432x216 with 2 Axes>"
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "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",
            "execution_count": 9,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "image/png": 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\n",
                        "text/plain": "<Figure size 432x216 with 2 Axes>"
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "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": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "# Pre-processing:  Feature selection/extraction\n"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "### Let's look at the day of the week people get the loan\n"
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "image/png": 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\n",
                        "text/plain": "<Figure size 432x216 with 2 Axes>"
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "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": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "We see that people who get the loan at the end of the week don't pay it off, so let's use Feature binarization to set a threshold value less than day 4\n"
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>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": 11,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df['weekend'] = df['dayofweek'].apply(lambda x: 1 if (x>3)  else 0)\ndf.head()"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "## Convert Categorical features to numerical values\n"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "Let's look at gender:\n"
        },
        {
            "cell_type": "code",
            "execution_count": 12,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "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": 12,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df.groupby(['Gender'])['loan_status'].value_counts(normalize=True)"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "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": "Let's convert male to 0 and female to 1:\n"
        },
        {
            "cell_type": "code",
            "execution_count": 13,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>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": 13,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df['Gender'].replace(to_replace=['male','female'], value=[0,1],inplace=True)\ndf.head()"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "## One Hot Encoding\n\n#### How about education?\n"
        },
        {
            "cell_type": "code",
            "execution_count": 14,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "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": 14,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df.groupby(['education'])['loan_status'].value_counts(normalize=True)"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "#### Features before One Hot Encoding\n"
        },
        {
            "cell_type": "code",
            "execution_count": 15,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>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": 15,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df[['Principal','terms','age','Gender','education']].head()"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "#### Use one hot encoding technique to conver categorical varables to binary variables and append them to the feature Data Frame\n"
        },
        {
            "cell_type": "code",
            "execution_count": 16,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>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": {},
                    "output_type": "execute_result"
                }
            ],
            "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": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "### Feature Selection\n"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "Let's define feature sets, X:\n"
        },
        {
            "cell_type": "code",
            "execution_count": 17,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>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": 17,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "X = Feature\nX[0:5]"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "What are our lables?\n"
        },
        {
            "cell_type": "code",
            "execution_count": 18,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "text/plain": "array(['PAIDOFF', 'PAIDOFF', 'PAIDOFF', 'PAIDOFF', 'PAIDOFF'],\n      dtype=object)"
                    },
                    "execution_count": 18,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "y = df['loan_status'].values\ny[0:5]"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "## Normalize Data\n"
        },
        {
            "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)\n"
        },
        {
            "cell_type": "code",
            "execution_count": 19,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "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": 19,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "X= preprocessing.StandardScaler().fit(X).transform(X)\nX[0:5]"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "# Classification\n"
        },
        {
            "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\n*   K Nearest Neighbor(KNN)\n*   Decision Tree\n*   Support Vector Machine\n*   Logistic Regression\n\n\\__ Notice:\\__\n\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.\n"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "# K Nearest Neighbor(KNN)\n\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**.\n"
        },
        {
            "cell_type": "code",
            "execution_count": 20,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Train set: (276, 8) (276,)\nTest set: (70, 8) (70,)\n"
                }
            ],
            "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",
            "execution_count": 21,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Train set Accuracy:  0.7971014492753623\nTest set Accuracy:  0.7142857142857143\n"
                }
            ],
            "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",
            "execution_count": 22,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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\n",
                        "text/plain": "<Figure size 432x288 with 1 Axes>"
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Best accuracy: 0.8 k= 7\n"
                }
            ],
            "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": "markdown",
            "metadata": {},
            "source": "# Decision Tree\n"
        },
        {
            "cell_type": "code",
            "execution_count": 23,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "DecisionTreeClassifier(criterion='entropy', max_depth=6)"
                    },
                    "execution_count": 23,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "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",
            "execution_count": 24,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "DecisionTreeClassifier(criterion='entropy', max_depth=6)"
                    },
                    "execution_count": 24,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "Tree.fit(X_trainset,y_trainset)"
        },
        {
            "cell_type": "code",
            "execution_count": 26,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "['PAIDOFF' 'PAIDOFF' 'PAIDOFF' 'PAIDOFF' 'PAIDOFF']\n['PAIDOFF' 'PAIDOFF' 'COLLECTION' 'COLLECTION' 'PAIDOFF']\nAccuracy:  0.7019230769230769\nCollecting package metadata (current_repodata.json): done\nSolving environment: done\n\n## Package Plan ##\n\n  environment location: /opt/conda/envs/Python-3.9\n\n  added / updated specs:\n    - pydotplus\n\n\nThe following packages will be downloaded:\n\n    package                    |            build\n    ---------------------------|-----------------\n    pydotplus-2.0.2            |     pyh243d235_4          24 KB  conda-forge\n    ------------------------------------------------------------\n                                           Total:          24 KB\n\nThe following packages will be UPDATED:\n\n  pydotplus                                      2.0.2-py_1 --> 2.0.2-pyh243d235_4\n\n\n\nDownloading and Extracting Packages\npydotplus-2.0.2      | 24 KB     | ##################################### | 100% \nPreparing transaction: done\nVerifying transaction: done\nExecuting transaction: done\nCollecting package metadata (current_repodata.json): done\nSolving environment: done\n\n# All requested packages already installed.\n\n"
                },
                {
                    "data": {
                        "text/plain": "<matplotlib.image.AxesImage at 0x7f41d8aba760>"
                    },
                    "execution_count": 26,
                    "metadata": {},
                    "output_type": "execute_result"
                },
                {
                    "data": {
                        "image/png": 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\n",
                        "text/plain": "<Figure size 7200x14400 with 1 Axes>"
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "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 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": "markdown",
            "metadata": {},
            "source": "# Support Vector Machine\n"
        },
        {
            "cell_type": "code",
            "execution_count": 27,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "SVC()"
                    },
                    "execution_count": 27,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "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",
            "execution_count": 28,
            "metadata": {},
            "outputs": [],
            "source": "yhat = clf.predict(X_test)\nyhat [0:5]\nfrom sklearn.metrics import classification_report, confusion_matrix\nimport itertools"
        },
        {
            "cell_type": "code",
            "execution_count": 35,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "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\n    accuracy                           0.74        70\n   macro avg       0.59      0.57      0.57        70\nweighted avg       0.72      0.74      0.73        70\n\n"
                },
                {
                    "data": {
                        "text/plain": "0.7272727272727273"
                    },
                    "execution_count": 35,
                    "metadata": {},
                    "output_type": "execute_result"
                },
                {
                    "data": {
                        "image/png": 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\n",
                        "text/plain": "<Figure size 432x288 with 2 Axes>"
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "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_score\njaccard_score(y_test, yhat,pos_label=\"PAIDOFF\")"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "# Logistic Regression\n"
        },
        {
            "cell_type": "code",
            "execution_count": 36,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Train set: (276, 8) (276,)\nTest set: (70, 8) (70,)\n"
                },
                {
                    "data": {
                        "text/plain": "LogisticRegression(C=0.01, solver='liblinear')"
                    },
                    "execution_count": 36,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "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",
            "execution_count": 37,
            "metadata": {},
            "outputs": [
                {
                    "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": 37,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "yhat = LogR.predict(X_test)\nyhat\nyhat_prob = LogR.predict_proba(X_test)\nyhat_prob"
        },
        {
            "cell_type": "code",
            "execution_count": 39,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "0.5772287609479654"
                    },
                    "execution_count": 39,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "from sklearn.metrics import jaccard_score\njaccard_score(y_test, yhat,pos_label=\"PAIDOFF\")\nfrom sklearn.metrics import log_loss\nlog_loss(y_test, yhat_prob)"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "# Model Evaluation using Test set\n"
        },
        {
            "cell_type": "code",
            "execution_count": 40,
            "metadata": {},
            "outputs": [],
            "source": "from sklearn.metrics import jaccard_score\nfrom sklearn.metrics import f1_score\nfrom sklearn.metrics import log_loss\n"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "First, download and load the test set:\n"
        },
        {
            "cell_type": "code",
            "execution_count": 41,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "--2022-08-29 21:27:24--  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)... 67.228.254.196\nConnecting to s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)|67.228.254.196|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 3642 (3.6K) [text/csv]\nSaving to: \u2018loan_test.csv\u2019\n\nloan_test.csv       100%[===================>]   3.56K  --.-KB/s    in 0s      \n\n2022-08-29 21:27:24 (55.5 MB/s) - \u2018loan_test.csv\u2019 saved [3642/3642]\n\n"
                }
            ],
            "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": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "### Load Test set for evaluation\n"
        },
        {
            "cell_type": "code",
            "execution_count": 42,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>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": 42,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "test_df = pd.read_csv('loan_test.csv')\ntest_df.head()"
        },
        {
            "cell_type": "code",
            "execution_count": 43,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "array(['PAIDOFF', 'PAIDOFF', 'PAIDOFF', 'PAIDOFF', 'PAIDOFF'],\n      dtype=object)"
                    },
                    "execution_count": 43,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "X= preprocessing.StandardScaler().fit(X).transform(X)\nX[0:5]\nY = test_df['loan_status'].values\nY[0:5]"
        },
        {
            "cell_type": "code",
            "execution_count": 45,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Avg F1-score: 0.78\nKNN Jaccard Score: 0.77\nAvg F1-score: 0.78\nDecision Tree Jaccard Score: 0.75\nAvg F1-score: 0.76\nSVM Jaccard score: 0.75\nLogLoss: : 0.56\nAvg F1-score: 0.7199\nLOG Jaccard score: 0.7227\n"
                }
            ],
            "source": "#test the KNN algorithm already trained with K=6\nyhatKNN=neigh.predict(X)\nKNNJaccard = jaccard_score(y, yhatKNN,pos_label=\"PAIDOFF\")\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_score(y, yhatDEC,pos_label=\"PAIDOFF\")\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_score(y, yhatSVM,pos_label=\"PAIDOFF\")\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_score(y, yhatLOG,pos_label=\"PAIDOFF\")\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",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": ""
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "# Report\n\nYou should be able to report the accuracy of the built model using different evaluation metrics:\n"
        },
        {
            "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    |\n"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "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?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01\">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?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01\">Watson Studio</a>\n\n<h3>Thanks for completing this lesson!</h3>\n\n<h4>Author:  <a href=\"https://ca.linkedin.com/in/saeedaghabozorgi?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01\">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## Change Log\n\n| Date (YYYY-MM-DD) | Version | Changed By    | Change Description                                                             |\n| ----------------- | ------- | ------------- | ------------------------------------------------------------------------------ |\n| 2020-10-27        | 2.1     | Lakshmi Holla | Made changes in import statement due to updates in version of  sklearn library |\n| 2020-08-27        | 2.0     | Malika Singla | Added lab to GitLab                                                            |\n\n<hr>\n\n## <h3 align=\"center\"> \u00a9 IBM Corporation 2020. All rights reserved. <h3/>\n\n<p>\n"
        }
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