01_Bank_logistic.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn import preprocessing\n",
    "from sklearn import model_selection\n",
    "from sklearn.feature_selection import RFE\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from IPython.display import Markdown, display\n",
    "def printmd(string):\n",
    "    display(Markdown(string))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data =pd.read_csv('bank/bank.csv',sep=';')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "   ## About Data\n",
    "   \n",
    "   The data is related with direct marketing campaigns of a Portuguese banking institution. \n",
    "   The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, \n",
    "   in order to access if the product (bank term deposit) would be (or not) subscribed. \n",
    "   \n",
    "   #####   **The classification goal is to predict if the client will subscribe a term deposit (variable y).**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total Data points:  4521\n",
      "\n",
      "Blank or Null Values\n",
      "age          0\n",
      "job          0\n",
      "marital      0\n",
      "education    0\n",
      "default      0\n",
      "balance      0\n",
      "housing      0\n",
      "loan         0\n",
      "contact      0\n",
      "day          0\n",
      "month        0\n",
      "duration     0\n",
      "campaign     0\n",
      "pdays        0\n",
      "previous     0\n",
      "poutcome     0\n",
      "y            0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# About Data\n",
    "print('Total Data points: ',len(data))\n",
    "print('\\nBlank or Null Values\\n',data.isnull().sum(),sep='')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age           int64\n",
       "job          object\n",
       "marital      object\n",
       "education    object\n",
       "default      object\n",
       "balance       int64\n",
       "housing      object\n",
       "loan         object\n",
       "contact      object\n",
       "day           int64\n",
       "month        object\n",
       "duration      int64\n",
       "campaign      int64\n",
       "pdays         int64\n",
       "previous      int64\n",
       "poutcome     object\n",
       "y            object\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "col_cat = ['job','marital','education','default','housing','loan','contact','month','poutcome']\n",
    "col_num = ['age','balance','day','duration','campaign','pdays','previous']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "   ## Data Description\n",
    "   \n",
    "   ### Bank client data:\n",
    "   1 - age (numeric)\n",
    "   \n",
    "   2 - job : type of job (categorical: \"admin.\",\"unknown\",\"unemployed\",\"management\",\"housemaid\",\"entrepreneur\",\"student\",\n",
    "                                       \"blue-collar\",\"self-employed\",\"retired\",\"technician\",\"services\") \n",
    "                                       \n",
    "   3 - marital : marital status (categorical: \"married\",\"divorced\",\"single\"; note: \"divorced\" means divorced or widowed)\n",
    "   \n",
    "   4 - education (categorical: \"unknown\",\"secondary\",\"primary\",\"tertiary\")\n",
    "   \n",
    "   5 - default: has credit in default? (binary: \"yes\",\"no\")\n",
    "   \n",
    "   6 - balance: average yearly balance, in euros (numeric) \n",
    "   \n",
    "   7 - housing: has housing loan? (binary: \"yes\",\"no\")\n",
    "   \n",
    "   8 - loan: has personal loan? (binary: \"yes\",\"no\")\n",
    "  \n",
    "  ### Related with the last contact of the current campaign:\n",
    "   \n",
    "   9 - contact: contact communication type (categorical: \"unknown\",\"telephone\",\"cellular\") \n",
    "  \n",
    "  10 - day: last contact day of the month (numeric)\n",
    "  \n",
    "  11 - month: last contact month of year (categorical: \"jan\", \"feb\", \"mar\", ..., \"nov\", \"dec\")\n",
    "  \n",
    "  12 - duration: last contact duration, in seconds (numeric)\n",
    "  \n",
    "  ### Other attributes:\n",
    "  \n",
    "  13 - campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact)\n",
    "  \n",
    "  14 - pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric, -1 means client was not previously contacted)\n",
    "  \n",
    "  15 - previous: number of contacts performed before this campaign and for this client (numeric)\n",
    "  \n",
    "  16 - poutcome: outcome of the previous marketing campaign (categorical: \"unknown\",\"other\",\"failure\",\"success\")\n",
    "\n",
    "\n",
    "  ### Output variable (desired target):\n",
    "  \n",
    "  17 - y - has the client subscribed a term deposit? (binary: \"yes\",\"no\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['age', 'job', 'marital', 'education', 'default', 'balance', 'housing',\n",
       "       'loan', 'contact', 'day', 'month', 'duration', 'campaign', 'pdays',\n",
       "       'previous', 'poutcome', 'y'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>job</th>\n",
       "      <th>marital</th>\n",
       "      <th>education</th>\n",
       "      <th>default</th>\n",
       "      <th>balance</th>\n",
       "      <th>housing</th>\n",
       "      <th>loan</th>\n",
       "      <th>contact</th>\n",
       "      <th>day</th>\n",
       "      <th>month</th>\n",
       "      <th>duration</th>\n",
       "      <th>campaign</th>\n",
       "      <th>pdays</th>\n",
       "      <th>previous</th>\n",
       "      <th>poutcome</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>30</td>\n",
       "      <td>unemployed</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>1787</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>19</td>\n",
       "      <td>oct</td>\n",
       "      <td>79</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>33</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>4789</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>cellular</td>\n",
       "      <td>11</td>\n",
       "      <td>may</td>\n",
       "      <td>220</td>\n",
       "      <td>1</td>\n",
       "      <td>339</td>\n",
       "      <td>4</td>\n",
       "      <td>failure</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>35</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>1350</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>apr</td>\n",
       "      <td>185</td>\n",
       "      <td>1</td>\n",
       "      <td>330</td>\n",
       "      <td>1</td>\n",
       "      <td>failure</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>30</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>1476</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>unknown</td>\n",
       "      <td>3</td>\n",
       "      <td>jun</td>\n",
       "      <td>199</td>\n",
       "      <td>4</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>59</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>226</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age          job  marital  education default  balance housing loan  \\\n",
       "0   30   unemployed  married    primary      no     1787      no   no   \n",
       "1   33     services  married  secondary      no     4789     yes  yes   \n",
       "2   35   management   single   tertiary      no     1350     yes   no   \n",
       "3   30   management  married   tertiary      no     1476     yes  yes   \n",
       "4   59  blue-collar  married  secondary      no        0     yes   no   \n",
       "\n",
       "    contact  day month  duration  campaign  pdays  previous poutcome   y  \n",
       "0  cellular   19   oct        79         1     -1         0  unknown  no  \n",
       "1  cellular   11   may       220         1    339         4  failure  no  \n",
       "2  cellular   16   apr       185         1    330         1  failure  no  \n",
       "3   unknown    3   jun       199         4     -1         0  unknown  no  \n",
       "4   unknown    5   may       226         1     -1         0  unknown  no  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_num\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>balance</th>\n",
       "      <th>day</th>\n",
       "      <th>duration</th>\n",
       "      <th>campaign</th>\n",
       "      <th>pdays</th>\n",
       "      <th>previous</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4521.00</td>\n",
       "      <td>4521.00</td>\n",
       "      <td>4521.00</td>\n",
       "      <td>4521.00</td>\n",
       "      <td>4521.00</td>\n",
       "      <td>4521.00</td>\n",
       "      <td>4521.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>41.17</td>\n",
       "      <td>1422.66</td>\n",
       "      <td>15.92</td>\n",
       "      <td>263.96</td>\n",
       "      <td>2.79</td>\n",
       "      <td>39.77</td>\n",
       "      <td>0.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>10.58</td>\n",
       "      <td>3009.64</td>\n",
       "      <td>8.25</td>\n",
       "      <td>259.86</td>\n",
       "      <td>3.11</td>\n",
       "      <td>100.12</td>\n",
       "      <td>1.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>19.00</td>\n",
       "      <td>-3313.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-1.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>33.00</td>\n",
       "      <td>69.00</td>\n",
       "      <td>9.00</td>\n",
       "      <td>104.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-1.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>39.00</td>\n",
       "      <td>444.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>185.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>-1.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>49.00</td>\n",
       "      <td>1480.00</td>\n",
       "      <td>21.00</td>\n",
       "      <td>329.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>-1.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>87.00</td>\n",
       "      <td>71188.00</td>\n",
       "      <td>31.00</td>\n",
       "      <td>3025.00</td>\n",
       "      <td>50.00</td>\n",
       "      <td>871.00</td>\n",
       "      <td>25.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           age   balance      day  duration  campaign    pdays  previous\n",
       "count  4521.00   4521.00  4521.00   4521.00   4521.00  4521.00   4521.00\n",
       "mean     41.17   1422.66    15.92    263.96      2.79    39.77      0.54\n",
       "std      10.58   3009.64     8.25    259.86      3.11   100.12      1.69\n",
       "min      19.00  -3313.00     1.00      4.00      1.00    -1.00      0.00\n",
       "25%      33.00     69.00     9.00    104.00      1.00    -1.00      0.00\n",
       "50%      39.00    444.00    16.00    185.00      2.00    -1.00      0.00\n",
       "75%      49.00   1480.00    21.00    329.00      3.00    -1.00      0.00\n",
       "max      87.00  71188.00    31.00   3025.00     50.00   871.00     25.00"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(data.describe(),2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "no     4000\n",
       "yes     521\n",
       "Name: y, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['y'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "** Values are in percentage\n",
      "\n",
      "management       21.43\n",
      "blue-collar      20.92\n",
      "technician       16.99\n",
      "admin.           10.57\n",
      "services          9.22\n",
      "retired           5.09\n",
      "self-employed     4.05\n",
      "entrepreneur      3.72\n",
      "unemployed        2.83\n",
      "housemaid         2.48\n",
      "student           1.86\n",
      "unknown           0.84\n",
      "Name: job, dtype: float64\n",
      "\n",
      "y    job          \n",
      "no   admin.           10.50\n",
      "     blue-collar      21.92\n",
      "     entrepreneur      3.82\n",
      "     housemaid         2.45\n",
      "     management       20.95\n",
      "     retired           4.40\n",
      "     self-employed     4.08\n",
      "     services          9.48\n",
      "     student           1.62\n",
      "     technician       17.12\n",
      "     unemployed        2.88\n",
      "     unknown           0.78\n",
      "yes  admin.           11.13\n",
      "     blue-collar      13.24\n",
      "     entrepreneur      2.88\n",
      "     housemaid         2.69\n",
      "     management       25.14\n",
      "     retired          10.36\n",
      "     self-employed     3.84\n",
      "     services          7.29\n",
      "     student           3.65\n",
      "     technician       15.93\n",
      "     unemployed        2.50\n",
      "     unknown           1.34\n",
      "Name: job, dtype: float64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "married     61.87\n",
      "single      26.45\n",
      "divorced    11.68\n",
      "Name: marital, dtype: float64\n",
      "\n",
      "y    marital \n",
      "no   divorced    11.28\n",
      "     married     63.00\n",
      "     single      25.72\n",
      "yes  divorced    14.78\n",
      "     married     53.17\n",
      "     single      32.05\n",
      "Name: marital, dtype: float64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "secondary    51.01\n",
      "tertiary     29.86\n",
      "primary      15.00\n",
      "unknown       4.14\n",
      "Name: education, dtype: float64\n",
      "\n",
      "y    education\n",
      "no   primary      15.35\n",
      "     secondary    51.52\n",
      "     tertiary     28.92\n",
      "     unknown       4.20\n",
      "yes  primary      12.28\n",
      "     secondary    47.02\n",
      "     tertiary     37.04\n",
      "     unknown       3.65\n",
      "Name: education, dtype: float64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "no     98.32\n",
      "yes     1.68\n",
      "Name: default, dtype: float64\n",
      "\n",
      "y    default\n",
      "no   no         98.32\n",
      "     yes         1.68\n",
      "yes  no         98.27\n",
      "     yes         1.73\n",
      "Name: default, dtype: float64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "yes    56.6\n",
      "no     43.4\n",
      "Name: housing, dtype: float64\n",
      "\n",
      "y    housing\n",
      "no   no         41.52\n",
      "     yes        58.48\n",
      "yes  no         57.77\n",
      "     yes        42.23\n",
      "Name: housing, dtype: float64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "no     84.72\n",
      "yes    15.28\n",
      "Name: loan, dtype: float64\n",
      "\n",
      "y    loan\n",
      "no   no      83.80\n",
      "     yes     16.20\n",
      "yes  no      91.75\n",
      "     yes      8.25\n",
      "Name: loan, dtype: float64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "cellular     64.06\n",
      "unknown      29.29\n",
      "telephone     6.66\n",
      "Name: contact, dtype: float64\n",
      "\n",
      "y    contact  \n",
      "no   cellular     62.00\n",
      "     telephone     6.42\n",
      "     unknown      31.57\n",
      "yes  cellular     79.85\n",
      "     telephone     8.45\n",
      "     unknown      11.71\n",
      "Name: contact, dtype: float64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "may    30.92\n",
      "jul    15.62\n",
      "aug    14.00\n",
      "jun    11.75\n",
      "nov     8.60\n",
      "apr     6.48\n",
      "feb     4.91\n",
      "jan     3.27\n",
      "oct     1.77\n",
      "sep     1.15\n",
      "mar     1.08\n",
      "dec     0.44\n",
      "Name: month, dtype: float64\n",
      "\n",
      "y    month\n",
      "no   apr       5.92\n",
      "     aug      13.85\n",
      "     dec       0.27\n",
      "     feb       4.60\n",
      "     jan       3.30\n",
      "     jul      16.12\n",
      "     jun      11.90\n",
      "     mar       0.70\n",
      "     may      32.62\n",
      "     nov       8.75\n",
      "     oct       1.08\n",
      "     sep       0.88\n",
      "yes  apr      10.75\n",
      "     aug      15.16\n",
      "     dec       1.73\n",
      "     feb       7.29\n",
      "     jan       3.07\n",
      "     jul      11.71\n",
      "     jun      10.56\n",
      "     mar       4.03\n",
      "     may      17.85\n",
      "     nov       7.49\n",
      "     oct       7.10\n",
      "     sep       3.26\n",
      "Name: month, dtype: float64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "unknown    81.95\n",
      "failure    10.84\n",
      "other       4.36\n",
      "success     2.85\n",
      "Name: poutcome, dtype: float64\n",
      "\n",
      "y    poutcome\n",
      "no   failure     10.68\n",
      "     other        3.98\n",
      "     success      1.15\n",
      "     unknown     84.20\n",
      "yes  failure     12.09\n",
      "     other        7.29\n",
      "     success     15.93\n",
      "     unknown     64.68\n",
      "Name: poutcome, dtype: float64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n"
     ]
    }
   ],
   "source": [
    "# Categorical Features\n",
    "data_gp = data.groupby('y')\n",
    "print('** Values are in percentage\\n',)\n",
    "for a in data.columns[:-1]:\n",
    "    if data[a].dtypes == 'object':\n",
    "        print(round((data[a].value_counts(sort=True))*100/len(data),2),end='\\n\\n',sep='')\n",
    "        print(round(data_gp[a].value_counts(sort=False,normalize=True)*100,2))        \n",
    "        print('\\n\\n\\n---------------------------------')\n",
    "        \n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "** Values are in Number\n",
      "\n",
      "management       969\n",
      "blue-collar      946\n",
      "technician       768\n",
      "admin.           478\n",
      "services         417\n",
      "retired          230\n",
      "self-employed    183\n",
      "entrepreneur     168\n",
      "unemployed       128\n",
      "housemaid        112\n",
      "student           84\n",
      "unknown           38\n",
      "Name: job, dtype: int64\n",
      "\n",
      "y    job          \n",
      "no   admin.           42000\n",
      "     blue-collar      87700\n",
      "     entrepreneur     15300\n",
      "     housemaid         9800\n",
      "     management       83800\n",
      "     retired          17600\n",
      "     self-employed    16300\n",
      "     services         37900\n",
      "     student           6500\n",
      "     technician       68500\n",
      "     unemployed       11500\n",
      "     unknown           3100\n",
      "yes  admin.            5800\n",
      "     blue-collar       6900\n",
      "     entrepreneur      1500\n",
      "     housemaid         1400\n",
      "     management       13100\n",
      "     retired           5400\n",
      "     self-employed     2000\n",
      "     services          3800\n",
      "     student           1900\n",
      "     technician        8300\n",
      "     unemployed        1300\n",
      "     unknown            700\n",
      "Name: job, dtype: int64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "married     2797\n",
      "single      1196\n",
      "divorced     528\n",
      "Name: marital, dtype: int64\n",
      "\n",
      "y    marital \n",
      "no   divorced     45100\n",
      "     married     252000\n",
      "     single      102900\n",
      "yes  divorced      7700\n",
      "     married      27700\n",
      "     single       16700\n",
      "Name: marital, dtype: int64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "secondary    2306\n",
      "tertiary     1350\n",
      "primary       678\n",
      "unknown       187\n",
      "Name: education, dtype: int64\n",
      "\n",
      "y    education\n",
      "no   primary       61400\n",
      "     secondary    206100\n",
      "     tertiary     115700\n",
      "     unknown       16800\n",
      "yes  primary        6400\n",
      "     secondary     24500\n",
      "     tertiary      19300\n",
      "     unknown        1900\n",
      "Name: education, dtype: int64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "no     4445\n",
      "yes      76\n",
      "Name: default, dtype: int64\n",
      "\n",
      "y    default\n",
      "no   no         393300\n",
      "     yes          6700\n",
      "yes  no          51200\n",
      "     yes           900\n",
      "Name: default, dtype: int64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "yes    2559\n",
      "no     1962\n",
      "Name: housing, dtype: int64\n",
      "\n",
      "y    housing\n",
      "no   no         166100\n",
      "     yes        233900\n",
      "yes  no          30100\n",
      "     yes         22000\n",
      "Name: housing, dtype: int64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "no     3830\n",
      "yes     691\n",
      "Name: loan, dtype: int64\n",
      "\n",
      "y    loan\n",
      "no   no      335200\n",
      "     yes      64800\n",
      "yes  no       47800\n",
      "     yes       4300\n",
      "Name: loan, dtype: int64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "cellular     2896\n",
      "unknown      1324\n",
      "telephone     301\n",
      "Name: contact, dtype: int64\n",
      "\n",
      "y    contact  \n",
      "no   cellular     248000\n",
      "     telephone     25700\n",
      "     unknown      126300\n",
      "yes  cellular      41600\n",
      "     telephone      4400\n",
      "     unknown        6100\n",
      "Name: contact, dtype: int64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "may    1398\n",
      "jul     706\n",
      "aug     633\n",
      "jun     531\n",
      "nov     389\n",
      "apr     293\n",
      "feb     222\n",
      "jan     148\n",
      "oct      80\n",
      "sep      52\n",
      "mar      49\n",
      "dec      20\n",
      "Name: month, dtype: int64\n",
      "\n",
      "y    month\n",
      "no   apr       23700\n",
      "     aug       55400\n",
      "     dec        1100\n",
      "     feb       18400\n",
      "     jan       13200\n",
      "     jul       64500\n",
      "     jun       47600\n",
      "     mar        2800\n",
      "     may      130500\n",
      "     nov       35000\n",
      "     oct        4300\n",
      "     sep        3500\n",
      "yes  apr        5600\n",
      "     aug        7900\n",
      "     dec         900\n",
      "     feb        3800\n",
      "     jan        1600\n",
      "     jul        6100\n",
      "     jun        5500\n",
      "     mar        2100\n",
      "     may        9300\n",
      "     nov        3900\n",
      "     oct        3700\n",
      "     sep        1700\n",
      "Name: month, dtype: int64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n",
      "unknown    3705\n",
      "failure     490\n",
      "other       197\n",
      "success     129\n",
      "Name: poutcome, dtype: int64\n",
      "\n",
      "y    poutcome\n",
      "no   failure      42700\n",
      "     other        15900\n",
      "     success       4600\n",
      "     unknown     336800\n",
      "yes  failure       6300\n",
      "     other         3800\n",
      "     success       8300\n",
      "     unknown      33700\n",
      "Name: poutcome, dtype: int64\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------\n"
     ]
    }
   ],
   "source": [
    "# Categorical Features\n",
    "data_gp = data.groupby('y')\n",
    "print('** Values are in Number\\n',)\n",
    "for a in data.columns[:-1]:\n",
    "    if data[a].dtypes == 'object':\n",
    "        print(round((data[a].value_counts(sort=True)),2),end='\\n\\n',sep='')\n",
    "        print(round(data_gp[a].value_counts(sort=False)*100,2))        \n",
    "        print('\\n\\n\\n---------------------------------')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# % of categories in target (yes/no)\n",
    "\n",
    "job_count = (data.groupby(['y'])['job'].value_counts(normalize=True).rename('percentage').mul(100).reset_index().sort_values('percentage',ascending=False))\n",
    "p = sns.barplot(x=\"job\", y=\"percentage\", hue=\"y\", data=job_count)\n",
    "job_plot = plt.setp(p.get_xticklabels(), rotation=90)\n",
    "\n",
    "#g=sns.countplot(x=data['job'],hue=data['y'])\n",
    "#job = g.set_xticklabels(g.get_xticklabels(),rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# % of categories in target (yes/no)\n",
    "\n",
    "marital_count = (data.groupby(['y'])['marital'].value_counts(normalize=True).rename('percentage').mul(100).reset_index().sort_values('percentage',ascending=False))\n",
    "p = sns.barplot(x=\"marital\", y=\"percentage\", hue=\"y\", data=marital_count)\n",
    "marital_plot = plt.setp(p.get_xticklabels(), rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "marital_count = (data.groupby(['marital'])['y'].value_counts(normalize=True).rename('percentage').mul(100).reset_index().sort_values('percentage',ascending=False))\n",
    "p = sns.barplot(x=\"marital\", y=\"percentage\", hue=\"y\", data=marital_count)\n",
    "marital_plot = plt.setp(p.get_xticklabels(), rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# % of categories in target (yes/no)\n",
    "\n",
    "education_count = (data.groupby(['y'])['education'].value_counts(normalize=True).rename('percentage').mul(100).reset_index().sort_values('percentage',ascending=False))\n",
    "p = sns.barplot(x=\"education\", y=\"percentage\", hue=\"y\", data=education_count)\n",
    "education_plot = plt.setp(p.get_xticklabels(), rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# % of categories in target (yes/no)\n",
    "\n",
    "default_count = (data.groupby(['y'])['default'].value_counts(normalize=True).rename('percentage').mul(100).reset_index().sort_values('percentage',ascending=False))\n",
    "p = sns.barplot(x=\"default\", y=\"percentage\", hue=\"y\", data=default_count)\n",
    "default_plot = plt.setp(p.get_xticklabels(), rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# % of categories in target (yes/no)\n",
    "\n",
    "housing_count = (data.groupby(['y'])['housing'].value_counts(normalize=True).rename('percentage').mul(100).reset_index().sort_values('percentage',ascending=False))\n",
    "p = sns.barplot(x=\"housing\", y=\"percentage\", hue=\"y\", data=housing_count)\n",
    "housing_plot = plt.setp(p.get_xticklabels(), rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# % of categories in target (yes/no)\n",
    "\n",
    "loan_count = (data.groupby(['y'])['loan'].value_counts(normalize=True).rename('percentage').mul(100).reset_index().sort_values('percentage',ascending=False))\n",
    "p = sns.barplot(x=\"loan\", y=\"percentage\", hue=\"y\", data=loan_count)\n",
    "loan_plot = plt.setp(p.get_xticklabels(), rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# % of categories in target (yes/no)\n",
    "\n",
    "contact_count = (data.groupby(['y'])['contact'].value_counts(normalize=True).rename('percentage').mul(100).reset_index().sort_values('percentage',ascending=False))\n",
    "p = sns.barplot(x=\"contact\", y=\"percentage\", hue=\"y\", data=contact_count)\n",
    "contact_plot = plt.setp(p.get_xticklabels(), rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# % of categories in target (yes/no)\n",
    "\n",
    "month_count = (data.groupby(['y'])['month'].value_counts(normalize=True).rename('percentage').mul(100).reset_index().sort_values('percentage',ascending=False))\n",
    "p = sns.barplot(x=\"month\", y=\"percentage\", hue=\"y\", data=month_count)\n",
    "month_plot = plt.setp(p.get_xticklabels(), rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# % of categories in target (yes/no)\n",
    "\n",
    "poutcome_count = (data.groupby(['y'])['poutcome'].value_counts(normalize=True).rename('percentage').mul(100).reset_index().sort_values('percentage',ascending=False))\n",
    "p = sns.barplot(x=\"poutcome\", y=\"percentage\", hue=\"y\", data=poutcome_count)\n",
    "poutcome_plot = plt.setp(p.get_xticklabels(), rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           job  marital  education default housing loan   contact month  \\\n",
      "0   unemployed  married    primary      no      no   no  cellular   oct   \n",
      "1     services  married  secondary      no     yes  yes  cellular   may   \n",
      "2   management   single   tertiary      no     yes   no  cellular   apr   \n",
      "3   management  married   tertiary      no     yes  yes   unknown   jun   \n",
      "4  blue-collar  married  secondary      no     yes   no   unknown   may   \n",
      "\n",
      "  poutcome  \n",
      "0  unknown  \n",
      "1  failure  \n",
      "2  failure  \n",
      "3  unknown  \n",
      "4  unknown  \n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>job_admin.</th>\n",
       "      <th>job_blue-collar</th>\n",
       "      <th>job_entrepreneur</th>\n",
       "      <th>job_housemaid</th>\n",
       "      <th>job_management</th>\n",
       "      <th>job_retired</th>\n",
       "      <th>job_self-employed</th>\n",
       "      <th>job_services</th>\n",
       "      <th>job_student</th>\n",
       "      <th>job_technician</th>\n",
       "      <th>...</th>\n",
       "      <th>month_jun</th>\n",
       "      <th>month_mar</th>\n",
       "      <th>month_may</th>\n",
       "      <th>month_nov</th>\n",
       "      <th>month_oct</th>\n",
       "      <th>month_sep</th>\n",
       "      <th>poutcome_failure</th>\n",
       "      <th>poutcome_other</th>\n",
       "      <th>poutcome_success</th>\n",
       "      <th>poutcome_unknown</th>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 44 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   job_admin.  job_blue-collar  job_entrepreneur  job_housemaid  \\\n",
       "0           0                0                 0              0   \n",
       "1           0                0                 0              0   \n",
       "2           0                0                 0              0   \n",
       "3           0                0                 0              0   \n",
       "4           0                1                 0              0   \n",
       "\n",
       "   job_management  job_retired  job_self-employed  job_services  job_student  \\\n",
       "0               0            0                  0             0            0   \n",
       "1               0            0                  0             1            0   \n",
       "2               1            0                  0             0            0   \n",
       "3               1            0                  0             0            0   \n",
       "4               0            0                  0             0            0   \n",
       "\n",
       "   job_technician        ...         month_jun  month_mar  month_may  \\\n",
       "0               0        ...                 0          0          0   \n",
       "1               0        ...                 0          0          1   \n",
       "2               0        ...                 0          0          0   \n",
       "3               0        ...                 1          0          0   \n",
       "4               0        ...                 0          0          1   \n",
       "\n",
       "   month_nov  month_oct  month_sep  poutcome_failure  poutcome_other  \\\n",
       "0          0          1          0                 0               0   \n",
       "1          0          0          0                 1               0   \n",
       "2          0          0          0                 1               0   \n",
       "3          0          0          0                 0               0   \n",
       "4          0          0          0                 0               0   \n",
       "\n",
       "   poutcome_success  poutcome_unknown  \n",
       "0                 0                 1  \n",
       "1                 0                 0  \n",
       "2                 0                 0  \n",
       "3                 0                 1  \n",
       "4                 0                 1  \n",
       "\n",
       "[5 rows x 44 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(data[col_cat].head())\n",
    "data_categorical = pd.get_dummies(data[col_cat])\n",
    "data_categorical.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>balance</th>\n",
       "      <th>day</th>\n",
       "      <th>duration</th>\n",
       "      <th>campaign</th>\n",
       "      <th>pdays</th>\n",
       "      <th>previous</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>30</td>\n",
       "      <td>1787</td>\n",
       "      <td>19</td>\n",
       "      <td>79</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>33</td>\n",
       "      <td>4789</td>\n",
       "      <td>11</td>\n",
       "      <td>220</td>\n",
       "      <td>1</td>\n",
       "      <td>339</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>35</td>\n",
       "      <td>1350</td>\n",
       "      <td>16</td>\n",
       "      <td>185</td>\n",
       "      <td>1</td>\n",
       "      <td>330</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>30</td>\n",
       "      <td>1476</td>\n",
       "      <td>3</td>\n",
       "      <td>199</td>\n",
       "      <td>4</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>226</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age  balance  day  duration  campaign  pdays  previous\n",
       "0   30     1787   19        79         1     -1         0\n",
       "1   33     4789   11       220         1    339         4\n",
       "2   35     1350   16       185         1    330         1\n",
       "3   30     1476    3       199         4     -1         0\n",
       "4   59        0    5       226         1     -1         0"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_numerical = data[col_num]\n",
    "data_numerical.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7f5f37f9dc50>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1313.25x1260 with 56 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data,hue ='y')\n",
    "# Not dropping outliers outside of 1.5* percentile range as values make sense for the variables.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x720 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_numerical.hist(bins=10, figsize=(14,10))\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "               age   balance       day  duration  campaign     pdays  previous\n",
      "age       1.000000  0.083820 -0.017853 -0.002367 -0.005148 -0.008894 -0.003511\n",
      "balance   0.083820  1.000000 -0.008677 -0.015950 -0.009976  0.009437  0.026196\n",
      "day      -0.017853 -0.008677  1.000000 -0.024629  0.160706 -0.094352 -0.059114\n",
      "duration -0.002367 -0.015950 -0.024629  1.000000 -0.068382  0.010380  0.018080\n",
      "campaign -0.005148 -0.009976  0.160706 -0.068382  1.000000 -0.093137 -0.067833\n",
      "pdays    -0.008894  0.009437 -0.094352  0.010380 -0.093137  1.000000  0.577562\n",
      "previous -0.003511  0.026196 -0.059114  0.018080 -0.067833  0.577562  1.000000\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5f344ea0f0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Correlation plot\n",
    "\n",
    "# Compute the correlation matrix\n",
    "corr = data_numerical.corr()\n",
    "print(corr)\n",
    "\n",
    "# Generate a mask for the upper triangle\n",
    "mask = np.zeros_like(corr, dtype=np.bool)\n",
    "mask[np.triu_indices_from(mask)] = True\n",
    "\n",
    "# Set up the matplotlib figure\n",
    "f, ax = plt.subplots(figsize=(11, 9))\n",
    "\n",
    "# Generate a custom diverging colormap\n",
    "cmap = sns.diverging_palette(220, 10, as_cmap=True)\n",
    "\n",
    "# Draw the heatmap with the mask and correct aspect ratio\n",
    "sns.heatmap(corr, mask=mask, cmap=cmap, vmax=.3, center=0,\n",
    "            square=True, linewidths=.5, cbar_kws={\"shrink\": .5})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_age = plt.scatter(x='previous',y='y',data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plt_age = plt.boxplot(data_numerical['age'], 1, 'gD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plt_balance = plt.boxplot(data_numerical['age'], True, 'gD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plt_balance = plt.boxplot(data_numerical['balance'], 1, 'gD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plt_duration = plt.boxplot(data_numerical['duration'], 1, 'gD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plt_campaign = plt.boxplot(data_numerical['campaign'], 0, 'gD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plt_pdays = plt.boxplot(data_numerical['pdays'], 0, 'gD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plt_previous = plt.boxplot(data_numerical['previous'], 0, 'gD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>job_admin.</th>\n",
       "      <th>job_blue-collar</th>\n",
       "      <th>job_entrepreneur</th>\n",
       "      <th>job_housemaid</th>\n",
       "      <th>job_management</th>\n",
       "      <th>job_retired</th>\n",
       "      <th>job_self-employed</th>\n",
       "      <th>job_services</th>\n",
       "      <th>job_student</th>\n",
       "      <th>job_technician</th>\n",
       "      <th>...</th>\n",
       "      <th>poutcome_other</th>\n",
       "      <th>poutcome_success</th>\n",
       "      <th>poutcome_unknown</th>\n",
       "      <th>age</th>\n",
       "      <th>balance</th>\n",
       "      <th>day</th>\n",
       "      <th>duration</th>\n",
       "      <th>campaign</th>\n",
       "      <th>pdays</th>\n",
       "      <th>previous</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>1787</td>\n",
       "      <td>19</td>\n",
       "      <td>79</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "      <td>4789</td>\n",
       "      <td>11</td>\n",
       "      <td>220</td>\n",
       "      <td>1</td>\n",
       "      <td>339</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>1350</td>\n",
       "      <td>16</td>\n",
       "      <td>185</td>\n",
       "      <td>1</td>\n",
       "      <td>330</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>1476</td>\n",
       "      <td>3</td>\n",
       "      <td>199</td>\n",
       "      <td>4</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>226</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 51 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   job_admin.  job_blue-collar  job_entrepreneur  job_housemaid  \\\n",
       "0           0                0                 0              0   \n",
       "1           0                0                 0              0   \n",
       "2           0                0                 0              0   \n",
       "3           0                0                 0              0   \n",
       "4           0                1                 0              0   \n",
       "\n",
       "   job_management  job_retired  job_self-employed  job_services  job_student  \\\n",
       "0               0            0                  0             0            0   \n",
       "1               0            0                  0             1            0   \n",
       "2               1            0                  0             0            0   \n",
       "3               1            0                  0             0            0   \n",
       "4               0            0                  0             0            0   \n",
       "\n",
       "   job_technician    ...     poutcome_other  poutcome_success  \\\n",
       "0               0    ...                  0                 0   \n",
       "1               0    ...                  0                 0   \n",
       "2               0    ...                  0                 0   \n",
       "3               0    ...                  0                 0   \n",
       "4               0    ...                  0                 0   \n",
       "\n",
       "   poutcome_unknown  age  balance  day  duration  campaign  pdays  previous  \n",
       "0                 1   30     1787   19        79         1     -1         0  \n",
       "1                 0   33     4789   11       220         1    339         4  \n",
       "2                 0   35     1350   16       185         1    330         1  \n",
       "3                 1   30     1476    3       199         4     -1         0  \n",
       "4                 1   59        0    5       226         1     -1         0  \n",
       "\n",
       "[5 rows x 51 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_set = pd.concat([data_categorical,data_numerical],axis = 1)\n",
    "data_set.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from sklearn.ensemble import RandomForestClassifier\n",
    "# from boruta import BorutaPy\n",
    "\n",
    "# x= data_set.values\n",
    "# y= data['y'].values.ravel()\n",
    "# rf = RandomForestClassifier(n_jobs=-1, class_weight='balanced', max_depth=5)\n",
    "# feat_selector = BorutaPy(rf, n_estimators='auto', verbose=2, random_state=1)\n",
    "# feat_selector.fit(x, y)\n",
    "# feat_selector.support_\n",
    "# feat_selector.ranking_\n",
    "# x_filtered = feat_selector.transform(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "logreg =LogisticRegression()\n",
    "logreg2 =LogisticRegression(class_weight='balanced')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = data['y'].copy()\n",
    "y[y == 'no'] = 0\n",
    "y[y == 'yes'] = 1\n",
    "y=y.astype('float')\n",
    "\n",
    "x_train, x_test, y_train, y_test = train_test_split(data_set, y, test_size=0.30, random_state=0)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "**Logistic Regression 70:30 split\n",
       "**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Intercept : [-0.7186337] \n",
      "Coefficients : \n",
      "[[-2.07311072e-01 -5.04392463e-01 -3.61996385e-01 -3.66575427e-01\n",
      "  -1.80454233e-01  6.85989134e-01 -5.33428143e-02 -1.62441609e-02\n",
      "   4.12703476e-01 -1.40554019e-01 -3.68563981e-01  3.82108243e-01\n",
      "  -1.78864597e-02 -4.17286555e-01 -2.83460688e-01 -1.79295387e-01\n",
      "  -2.61602611e-01  1.65448101e-01 -4.43183806e-01 -5.54921643e-01\n",
      "  -1.63712059e-01 -1.66749334e-01 -5.51884368e-01 -8.92082406e-03\n",
      "  -7.09712879e-01  1.41887852e-01  8.66286113e-02 -9.47150166e-01\n",
      "  -1.59629223e-03 -3.79812107e-01 -4.86333933e-02 -2.75808986e-03\n",
      "  -8.94255537e-01 -7.05061593e-01 -2.83310093e-02  1.05262124e+00\n",
      "  -6.56674190e-01 -6.15497235e-01  8.85459112e-01  6.75905390e-01\n",
      "  -6.65964520e-01 -5.22647641e-01  1.30737371e+00 -8.37395257e-01\n",
      "  -7.61720698e-04 -2.89234401e-05  6.86253911e-03  4.29793066e-03\n",
      "  -1.00367408e-01  6.20225067e-04  2.94375315e-04]]\n"
     ]
    }
   ],
   "source": [
    "logreg.fit(x_train,y_train)\n",
    "logreg2.fit(x_train,y_train)\n",
    "prediction = logreg.predict(x_test)\n",
    "prediction2 = logreg2.predict(x_test)\n",
    "printmd(\"**Logistic Regression 70:30 split\\n**\")\n",
    "print(f'Intercept : {logreg.intercept_} \\nCoefficients : \\n{logreg.coef_}')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model Evaluation using Kfold Validation\n",
      "Accuracy: 90.11%  Standard Deviation : 0.0189\n",
      "LogLoss: -0.2498  Standard Deviation : 0.0325\n"
     ]
    }
   ],
   "source": [
    "print('Model Evaluation using Kfold Validation')\n",
    "kfold = model_selection.KFold(n_splits=10, random_state=30) # random state =seed\n",
    "logistic_kfold = model_selection.cross_val_score(logreg, data_set,data['y'],cv = kfold, scoring='accuracy')\n",
    "print(f\"Accuracy: {round(logistic_kfold.mean(),4)*100}%  Standard Deviation : {round(logistic_kfold.std(),4)}\")\n",
    "#logistic_kfold\n",
    "logistic_kfold1 = model_selection.cross_val_score(logreg, data_set,data['y'],cv = kfold, scoring='neg_log_loss')\n",
    "print(f\"LogLoss: {round(logistic_kfold1.mean(),4)}  Standard Deviation : {round(logistic_kfold1.std(),4)}\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Classification Report\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "        0.0       0.91      0.97      0.94      1190\n",
      "        1.0       0.64      0.35      0.45       167\n",
      "\n",
      "avg / total       0.88      0.90      0.88      1357\n",
      "\n",
      "Confusion Metrics: \n",
      " [[1157   33]\n",
      " [ 109   58]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Accuracy of logistic model 89.54%\n"
     ]
    }
   ],
   "source": [
    "# ROC\n",
    "# Sensitivity is the true positive rate also called the recall. \n",
    "# It is the number instances from the positive (first) class that actually predicted correctly.\n",
    "# Specificity is also called the true negative rate. \n",
    "# Is the number of instances from the negative class (second) class that were actually predicted correctly.\n",
    "\n",
    "from sklearn.metrics import classification_report\n",
    "report = classification_report(y_test, prediction)\n",
    "print(f' Classification Report\\n{report}')\n",
    "\n",
    "\n",
    "from sklearn import metrics\n",
    "labels=[0,1]\n",
    "cm = metrics.confusion_matrix(y_test, prediction, labels)\n",
    "print(f'Confusion Metrics: \\n {cm}')\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "cax = ax.matshow(cm)\n",
    "plt.title('Confusion matrix of the classifier')\n",
    "fig.colorbar(cax)\n",
    "ax.set_xticklabels([''] + labels)\n",
    "ax.set_yticklabels([''] + labels)\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('True')\n",
    "plt.show()\n",
    "\n",
    "score=logreg.score(x_test,y_test)*100\n",
    "print(f'Test Accuracy of logistic model {round(score,2)}%')\n",
    "\n",
    "# model drawback: log recall and moderate precision for category 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model Evaluation using Kfold Validation\n",
      "Accuracy: 83.74000000000001%  Standard Deviation : 0.0176\n",
      "LogLoss: -0.4359  Standard Deviation : 0.0266\n",
      " Classification Report\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "        0.0       0.97      0.86      0.91      1190\n",
      "        1.0       0.44      0.78      0.56       167\n",
      "\n",
      "avg / total       0.90      0.85      0.87      1357\n",
      "\n",
      "Confusion Metrics: \n",
      " [[1025  165]\n",
      " [  37  130]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Accuracy of logistic model 85.11%\n"
     ]
    }
   ],
   "source": [
    "# For model with balanced cases for both the categories\n",
    "\n",
    "print('Model Evaluation using Kfold Validation')\n",
    "# kfold = model_selection.KFold(n_splits=10, random_state=30) # random state =seed\n",
    "logistic_kfold = model_selection.cross_val_score(logreg2, data_set,data['y'],cv = kfold, scoring='accuracy')\n",
    "print(f\"Accuracy: {round(logistic_kfold.mean(),4)*100}%  Standard Deviation : {round(logistic_kfold.std(),4)}\")\n",
    "#logistic_kfold\n",
    "logistic_kfold1 = model_selection.cross_val_score(logreg2, data_set,data['y'],cv = kfold, scoring='neg_log_loss')\n",
    "print(f\"LogLoss: {round(logistic_kfold1.mean(),4)}  Standard Deviation : {round(logistic_kfold1.std(),4)}\")\n",
    "\n",
    "\n",
    "# ROC\n",
    "# Sensitivity is the true positive rate also called the recall. \n",
    "# It is the number instances from the positive (first) class that actually predicted correctly.\n",
    "# Specificity is also called the true negative rate. \n",
    "# Is the number of instances from the negative class (second) class that were actually predicted correctly.\n",
    "\n",
    "from sklearn.metrics import classification_report\n",
    "report = classification_report(y_test, prediction2)\n",
    "print(f' Classification Report\\n{report}')\n",
    "\n",
    "\n",
    "from sklearn import metrics\n",
    "labels=[0,1]\n",
    "cm = metrics.confusion_matrix(y_test, prediction2, labels)\n",
    "print(f'Confusion Metrics: \\n {cm}')\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "cax = ax.matshow(cm)\n",
    "plt.title('Confusion matrix of the classifier')\n",
    "fig.colorbar(cax)\n",
    "ax.set_xticklabels([''] + labels)\n",
    "ax.set_yticklabels([''] + labels)\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('True')\n",
    "plt.show()\n",
    "\n",
    "score=logreg2.score(x_test,y_test)*100\n",
    "print(f'Test Accuracy of logistic model {round(score,2)}%')\n",
    "\n",
    "# model drawback: log precision for category 1.\n",
    "# Overall accuracy not that good"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.97748615, 0.02251385],\n",
       "       [0.9860205 , 0.0139795 ],\n",
       "       [0.62640986, 0.37359014],\n",
       "       ...,\n",
       "       [0.78045133, 0.21954867],\n",
       "       [0.97587714, 0.02412286],\n",
       "       [0.90960376, 0.09039624]])"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_curve\n",
    "logreg.predict_proba(x_test)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_curve, auc\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('ggplot')\n",
    "%matplotlib inline\n",
    "\n",
    "y_predict_probabilities = logreg.predict_proba(x_test)[:,1]\n",
    "\n",
    "\n",
    "fpr, tpr, _ = roc_curve(y_test, y_predict_probabilities)\n",
    "roc_auc = auc(fpr, tpr)\n",
    "\n",
    "plt.figure()\n",
    "plt.plot(fpr, tpr, color='darkorange',\n",
    "         lw=2, label='ROC curve (area = %0.2f)' % roc_auc)\n",
    "plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('ROC Curve')\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# ## Decision Tree\n",
    "\n",
    "# from sklearn.tree import DecisionTreeClassifier\n",
    "# dtree = DecisionTreeClassifier(random_state = 30)\n",
    "\n",
    "# #x_train, x_test, y_train, y_test = train_test_split(data[col_num].iloc[:,:-1], data['y'], test_size=0.30, random_state=0)\n",
    "# dtree.fit(x_train,y_train )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from sklearn.externals.six import StringIO  \n",
    "# from IPython.display import Image  \n",
    "# from sklearn.tree import export_graphviz\n",
    "# import pydotplus\n",
    "\n",
    "# dot_data = StringIO()\n",
    "\n",
    "# export_graphviz(dtree, out_file=dot_data,  \n",
    "#                 filled=True, rounded=True,\n",
    "#                 special_characters=True)\n",
    "\n",
    "# graph = pydotplus.graph_from_dot_data(dot_data.getvalue())  \n",
    "# Image(graph.create_png())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# #from sklearn.metrics import classification_report\n",
    "\n",
    "# dtree_kfold = model_selection.cross_val_score(dtree, data_set,data['y'],cv = kfold, scoring='accuracy')\n",
    "# print(f\"Accuracy: {round(dtree_kfold.mean(),4)*100}%  Standard Deviation : {round(dtree_kfold.std(),4)}\")\n",
    "\n",
    "# # prediction on test\n",
    "\n",
    "# prediction = dtree.predict(x_test)\n",
    "# report = classification_report(y_test, prediction)\n",
    "# print(f' \\n{report}')\n",
    "\n",
    "# labels=['no','yes']\n",
    "# cm = metrics.confusion_matrix(y_test, prediction, labels)\n",
    "# print(f'Confusion Metrics: \\n {cm}')\n",
    "# fig = plt.figure()\n",
    "# ax = fig.add_subplot(111)\n",
    "# cax = ax.matshow(cm)\n",
    "# plt.title('Confusion matrix of the classifier')\n",
    "# fig.colorbar(cax)\n",
    "# ax.set_xticklabels([''] + labels)\n",
    "# ax.set_yticklabels([''] + labels)\n",
    "# plt.xlabel('Predicted')\n",
    "# plt.ylabel('True')\n",
    "# plt.show()\n",
    "\n",
    "# score=dtree.score(x_test,y_test)*100\n",
    "# print(f'Test Accuracy of decision tree model {round(score,2)}%')\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
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}