Assignment.06- Logistic Regression.ipynb

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   "source": [
    "# Assignment-06-Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "56b3050e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing the dataset\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import roc_curve\n",
    "from sklearn.metrics import roc_auc_score\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "581072e1",
   "metadata": {},
   "outputs": [
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       "      <th>0</th>\n",
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       "      <td>tertiary</td>\n",
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       "      <td>825</td>\n",
       "      <td>no</td>\n",
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       "       age           job   marital  education default  balance housing loan  \\\n",
       "0       58    management   married   tertiary      no     2143     yes   no   \n",
       "1       44    technician    single  secondary      no       29     yes   no   \n",
       "2       33  entrepreneur   married  secondary      no        2     yes  yes   \n",
       "3       47   blue-collar   married    unknown      no     1506     yes   no   \n",
       "4       33       unknown    single    unknown      no        1      no   no   \n",
       "...    ...           ...       ...        ...     ...      ...     ...  ...   \n",
       "45206   51    technician   married   tertiary      no      825      no   no   \n",
       "45207   71       retired  divorced    primary      no     1729      no   no   \n",
       "45208   72       retired   married  secondary      no     5715      no   no   \n",
       "45209   57   blue-collar   married  secondary      no      668      no   no   \n",
       "45210   37  entrepreneur   married  secondary      no     2971      no   no   \n",
       "\n",
       "         contact  day month  duration  campaign  pdays  previous poutcome    y  \n",
       "0        unknown    5   may       261         1     -1         0  unknown   no  \n",
       "1        unknown    5   may       151         1     -1         0  unknown   no  \n",
       "2        unknown    5   may        76         1     -1         0  unknown   no  \n",
       "3        unknown    5   may        92         1     -1         0  unknown   no  \n",
       "4        unknown    5   may       198         1     -1         0  unknown   no  \n",
       "...          ...  ...   ...       ...       ...    ...       ...      ...  ...  \n",
       "45206   cellular   17   nov       977         3     -1         0  unknown  yes  \n",
       "45207   cellular   17   nov       456         2     -1         0  unknown  yes  \n",
       "45208   cellular   17   nov      1127         5    184         3  success  yes  \n",
       "45209  telephone   17   nov       508         4     -1         0  unknown   no  \n",
       "45210   cellular   17   nov       361         2    188        11    other   no  \n",
       "\n",
       "[45211 rows x 17 columns]"
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     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Importing the dataset\n",
    "bank=pd.read_csv('C:/Users/Asus/OneDrive/Desktop/My DATA/DATA SCIENCE/Assignments/ASSIGNMENT MATERIAL/Logistic Regression/bank-full.csv')\n",
    "bank"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3dff43e",
   "metadata": {},
   "source": [
    "## EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "887db1bc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 45211 entries, 0 to 45210\n",
      "Data columns (total 17 columns):\n",
      " #   Column     Non-Null Count  Dtype \n",
      "---  ------     --------------  ----- \n",
      " 0   age        45211 non-null  int64 \n",
      " 1   job        45211 non-null  object\n",
      " 2   marital    45211 non-null  object\n",
      " 3   education  45211 non-null  object\n",
      " 4   default    45211 non-null  object\n",
      " 5   balance    45211 non-null  int64 \n",
      " 6   housing    45211 non-null  object\n",
      " 7   loan       45211 non-null  object\n",
      " 8   contact    45211 non-null  object\n",
      " 9   day        45211 non-null  int64 \n",
      " 10  month      45211 non-null  object\n",
      " 11  duration   45211 non-null  int64 \n",
      " 12  campaign   45211 non-null  int64 \n",
      " 13  pdays      45211 non-null  int64 \n",
      " 14  previous   45211 non-null  int64 \n",
      " 15  poutcome   45211 non-null  object\n",
      " 16  y          45211 non-null  object\n",
      "dtypes: int64(7), object(10)\n",
      "memory usage: 5.9+ MB\n"
     ]
    }
   ],
   "source": [
    "bank.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "449b3ab0",
   "metadata": {},
   "outputs": [
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       "      <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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45207</th>\n",
       "      <td>71</td>\n",
       "      <td>no</td>\n",
       "      <td>1729</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>17</td>\n",
       "      <td>456</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45208</th>\n",
       "      <td>72</td>\n",
       "      <td>no</td>\n",
       "      <td>5715</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>17</td>\n",
       "      <td>1127</td>\n",
       "      <td>5</td>\n",
       "      <td>184</td>\n",
       "      <td>3</td>\n",
       "      <td>...</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45209</th>\n",
       "      <td>57</td>\n",
       "      <td>no</td>\n",
       "      <td>668</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>17</td>\n",
       "      <td>508</td>\n",
       "      <td>4</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45210</th>\n",
       "      <td>37</td>\n",
       "      <td>no</td>\n",
       "      <td>2971</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>17</td>\n",
       "      <td>361</td>\n",
       "      <td>2</td>\n",
       "      <td>188</td>\n",
       "      <td>11</td>\n",
       "      <td>...</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45211 rows × 49 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       age default  balance housing loan  day  duration  campaign  pdays  \\\n",
       "0       58      no     2143     yes   no    5       261         1     -1   \n",
       "1       44      no       29     yes   no    5       151         1     -1   \n",
       "2       33      no        2     yes  yes    5        76         1     -1   \n",
       "3       47      no     1506     yes   no    5        92         1     -1   \n",
       "4       33      no        1      no   no    5       198         1     -1   \n",
       "...    ...     ...      ...     ...  ...  ...       ...       ...    ...   \n",
       "45206   51      no      825      no   no   17       977         3     -1   \n",
       "45207   71      no     1729      no   no   17       456         2     -1   \n",
       "45208   72      no     5715      no   no   17      1127         5    184   \n",
       "45209   57      no      668      no   no   17       508         4     -1   \n",
       "45210   37      no     2971      no   no   17       361         2    188   \n",
       "\n",
       "       previous  ... month_dec  month_feb  month_jan  month_jul  month_jun  \\\n",
       "0             0  ...         0          0          0          0          0   \n",
       "1             0  ...         0          0          0          0          0   \n",
       "2             0  ...         0          0          0          0          0   \n",
       "3             0  ...         0          0          0          0          0   \n",
       "4             0  ...         0          0          0          0          0   \n",
       "...         ...  ...       ...        ...        ...        ...        ...   \n",
       "45206         0  ...         0          0          0          0          0   \n",
       "45207         0  ...         0          0          0          0          0   \n",
       "45208         3  ...         0          0          0          0          0   \n",
       "45209         0  ...         0          0          0          0          0   \n",
       "45210        11  ...         0          0          0          0          0   \n",
       "\n",
       "       month_mar  month_may  month_nov  month_oct  month_sep  \n",
       "0              0          1          0          0          0  \n",
       "1              0          1          0          0          0  \n",
       "2              0          1          0          0          0  \n",
       "3              0          1          0          0          0  \n",
       "4              0          1          0          0          0  \n",
       "...          ...        ...        ...        ...        ...  \n",
       "45206          0          0          1          0          0  \n",
       "45207          0          0          1          0          0  \n",
       "45208          0          0          1          0          0  \n",
       "45209          0          0          1          0          0  \n",
       "45210          0          0          1          0          0  \n",
       "\n",
       "[45211 rows x 49 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# One-Hot Encoding of categrical variables\n",
    "data1=pd.get_dummies(bank,columns=['job','marital','education','contact','poutcome','month'])\n",
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7147a3fd",
   "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>default</th>\n",
       "      <th>balance</th>\n",
       "      <th>housing</th>\n",
       "      <th>loan</th>\n",
       "      <th>day</th>\n",
       "      <th>duration</th>\n",
       "      <th>campaign</th>\n",
       "      <th>pdays</th>\n",
       "      <th>previous</th>\n",
       "      <th>y</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>job_unemployed</th>\n",
       "      <th>job_unknown</th>\n",
       "      <th>marital_divorced</th>\n",
       "      <th>marital_married</th>\n",
       "      <th>marital_single</th>\n",
       "      <th>education_primary</th>\n",
       "      <th>education_secondary</th>\n",
       "      <th>education_tertiary</th>\n",
       "      <th>education_unknown</th>\n",
       "      <th>contact_cellular</th>\n",
       "      <th>contact_telephone</th>\n",
       "      <th>contact_unknown</th>\n",
       "      <th>poutcome_failure</th>\n",
       "      <th>poutcome_other</th>\n",
       "      <th>poutcome_success</th>\n",
       "      <th>poutcome_unknown</th>\n",
       "      <th>month_apr</th>\n",
       "      <th>month_aug</th>\n",
       "      <th>month_dec</th>\n",
       "      <th>month_feb</th>\n",
       "      <th>month_jan</th>\n",
       "      <th>month_jul</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>58</td>\n",
       "      <td>no</td>\n",
       "      <td>2143</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>5</td>\n",
       "      <td>261</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
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       "      <td>0</td>\n",
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       "      <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>1</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>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",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>44</td>\n",
       "      <td>no</td>\n",
       "      <td>29</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>5</td>\n",
       "      <td>151</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>no</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",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>33</td>\n",
       "      <td>no</td>\n",
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       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>no</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>47</td>\n",
       "      <td>no</td>\n",
       "      <td>1506</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>5</td>\n",
       "      <td>92</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</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>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>33</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>5</td>\n",
       "      <td>198</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "      <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>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45206</th>\n",
       "      <td>51</td>\n",
       "      <td>no</td>\n",
       "      <td>825</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>17</td>\n",
       "      <td>977</td>\n",
       "      <td>3</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</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>1</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>1</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>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>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45207</th>\n",
       "      <td>71</td>\n",
       "      <td>no</td>\n",
       "      <td>1729</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>17</td>\n",
       "      <td>456</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</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>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>1</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>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>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45208</th>\n",
       "      <td>72</td>\n",
       "      <td>no</td>\n",
       "      <td>5715</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>17</td>\n",
       "      <td>1127</td>\n",
       "      <td>5</td>\n",
       "      <td>184</td>\n",
       "      <td>3</td>\n",
       "      <td>yes</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>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>1</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>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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45209</th>\n",
       "      <td>57</td>\n",
       "      <td>no</td>\n",
       "      <td>668</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>17</td>\n",
       "      <td>508</td>\n",
       "      <td>4</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>no</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>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>1</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>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>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45210</th>\n",
       "      <td>37</td>\n",
       "      <td>no</td>\n",
       "      <td>2971</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>17</td>\n",
       "      <td>361</td>\n",
       "      <td>2</td>\n",
       "      <td>188</td>\n",
       "      <td>11</td>\n",
       "      <td>no</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>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>1</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>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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45211 rows × 49 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       age default  balance housing loan  day  duration  campaign  pdays  \\\n",
       "0       58      no     2143     yes   no    5       261         1     -1   \n",
       "1       44      no       29     yes   no    5       151         1     -1   \n",
       "2       33      no        2     yes  yes    5        76         1     -1   \n",
       "3       47      no     1506     yes   no    5        92         1     -1   \n",
       "4       33      no        1      no   no    5       198         1     -1   \n",
       "...    ...     ...      ...     ...  ...  ...       ...       ...    ...   \n",
       "45206   51      no      825      no   no   17       977         3     -1   \n",
       "45207   71      no     1729      no   no   17       456         2     -1   \n",
       "45208   72      no     5715      no   no   17      1127         5    184   \n",
       "45209   57      no      668      no   no   17       508         4     -1   \n",
       "45210   37      no     2971      no   no   17       361         2    188   \n",
       "\n",
       "       previous    y  job_admin.  job_blue-collar  job_entrepreneur  \\\n",
       "0             0   no           0                0                 0   \n",
       "1             0   no           0                0                 0   \n",
       "2             0   no           0                0                 1   \n",
       "3             0   no           0                1                 0   \n",
       "4             0   no           0                0                 0   \n",
       "...         ...  ...         ...              ...               ...   \n",
       "45206         0  yes           0                0                 0   \n",
       "45207         0  yes           0                0                 0   \n",
       "45208         3  yes           0                0                 0   \n",
       "45209         0   no           0                1                 0   \n",
       "45210        11   no           0                0                 1   \n",
       "\n",
       "       job_housemaid  job_management  job_retired  job_self-employed  \\\n",
       "0                  0               1            0                  0   \n",
       "1                  0               0            0                  0   \n",
       "2                  0               0            0                  0   \n",
       "3                  0               0            0                  0   \n",
       "4                  0               0            0                  0   \n",
       "...              ...             ...          ...                ...   \n",
       "45206              0               0            0                  0   \n",
       "45207              0               0            1                  0   \n",
       "45208              0               0            1                  0   \n",
       "45209              0               0            0                  0   \n",
       "45210              0               0            0                  0   \n",
       "\n",
       "       job_services  job_student  job_technician  job_unemployed  job_unknown  \\\n",
       "0                 0            0               0               0            0   \n",
       "1                 0            0               1               0            0   \n",
       "2                 0            0               0               0            0   \n",
       "3                 0            0               0               0            0   \n",
       "4                 0            0               0               0            1   \n",
       "...             ...          ...             ...             ...          ...   \n",
       "45206             0            0               1               0            0   \n",
       "45207             0            0               0               0            0   \n",
       "45208             0            0               0               0            0   \n",
       "45209             0            0               0               0            0   \n",
       "45210             0            0               0               0            0   \n",
       "\n",
       "       marital_divorced  marital_married  marital_single  education_primary  \\\n",
       "0                     0                1               0                  0   \n",
       "1                     0                0               1                  0   \n",
       "2                     0                1               0                  0   \n",
       "3                     0                1               0                  0   \n",
       "4                     0                0               1                  0   \n",
       "...                 ...              ...             ...                ...   \n",
       "45206                 0                1               0                  0   \n",
       "45207                 1                0               0                  1   \n",
       "45208                 0                1               0                  0   \n",
       "45209                 0                1               0                  0   \n",
       "45210                 0                1               0                  0   \n",
       "\n",
       "       education_secondary  education_tertiary  education_unknown  \\\n",
       "0                        0                   1                  0   \n",
       "1                        1                   0                  0   \n",
       "2                        1                   0                  0   \n",
       "3                        0                   0                  1   \n",
       "4                        0                   0                  1   \n",
       "...                    ...                 ...                ...   \n",
       "45206                    0                   1                  0   \n",
       "45207                    0                   0                  0   \n",
       "45208                    1                   0                  0   \n",
       "45209                    1                   0                  0   \n",
       "45210                    1                   0                  0   \n",
       "\n",
       "       contact_cellular  contact_telephone  contact_unknown  poutcome_failure  \\\n",
       "0                     0                  0                1                 0   \n",
       "1                     0                  0                1                 0   \n",
       "2                     0                  0                1                 0   \n",
       "3                     0                  0                1                 0   \n",
       "4                     0                  0                1                 0   \n",
       "...                 ...                ...              ...               ...   \n",
       "45206                 1                  0                0                 0   \n",
       "45207                 1                  0                0                 0   \n",
       "45208                 1                  0                0                 0   \n",
       "45209                 0                  1                0                 0   \n",
       "45210                 1                  0                0                 0   \n",
       "\n",
       "       poutcome_other  poutcome_success  poutcome_unknown  month_apr  \\\n",
       "0                   0                 0                 1          0   \n",
       "1                   0                 0                 1          0   \n",
       "2                   0                 0                 1          0   \n",
       "3                   0                 0                 1          0   \n",
       "4                   0                 0                 1          0   \n",
       "...               ...               ...               ...        ...   \n",
       "45206               0                 0                 1          0   \n",
       "45207               0                 0                 1          0   \n",
       "45208               0                 1                 0          0   \n",
       "45209               0                 0                 1          0   \n",
       "45210               1                 0                 0          0   \n",
       "\n",
       "       month_aug  month_dec  month_feb  month_jan  month_jul  month_jun  \\\n",
       "0              0          0          0          0          0          0   \n",
       "1              0          0          0          0          0          0   \n",
       "2              0          0          0          0          0          0   \n",
       "3              0          0          0          0          0          0   \n",
       "4              0          0          0          0          0          0   \n",
       "...          ...        ...        ...        ...        ...        ...   \n",
       "45206          0          0          0          0          0          0   \n",
       "45207          0          0          0          0          0          0   \n",
       "45208          0          0          0          0          0          0   \n",
       "45209          0          0          0          0          0          0   \n",
       "45210          0          0          0          0          0          0   \n",
       "\n",
       "       month_mar  month_may  month_nov  month_oct  month_sep  \n",
       "0              0          1          0          0          0  \n",
       "1              0          1          0          0          0  \n",
       "2              0          1          0          0          0  \n",
       "3              0          1          0          0          0  \n",
       "4              0          1          0          0          0  \n",
       "...          ...        ...        ...        ...        ...  \n",
       "45206          0          0          1          0          0  \n",
       "45207          0          0          1          0          0  \n",
       "45208          0          0          1          0          0  \n",
       "45209          0          0          1          0          0  \n",
       "45210          0          0          1          0          0  \n",
       "\n",
       "[45211 rows x 49 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To see all columns\n",
    "pd.set_option(\"display.max.columns\", None)\n",
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "554f141b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 45211 entries, 0 to 45210\n",
      "Data columns (total 49 columns):\n",
      " #   Column               Non-Null Count  Dtype \n",
      "---  ------               --------------  ----- \n",
      " 0   age                  45211 non-null  int64 \n",
      " 1   default              45211 non-null  object\n",
      " 2   balance              45211 non-null  int64 \n",
      " 3   housing              45211 non-null  object\n",
      " 4   loan                 45211 non-null  object\n",
      " 5   day                  45211 non-null  int64 \n",
      " 6   duration             45211 non-null  int64 \n",
      " 7   campaign             45211 non-null  int64 \n",
      " 8   pdays                45211 non-null  int64 \n",
      " 9   previous             45211 non-null  int64 \n",
      " 10  y                    45211 non-null  object\n",
      " 11  job_admin.           45211 non-null  uint8 \n",
      " 12  job_blue-collar      45211 non-null  uint8 \n",
      " 13  job_entrepreneur     45211 non-null  uint8 \n",
      " 14  job_housemaid        45211 non-null  uint8 \n",
      " 15  job_management       45211 non-null  uint8 \n",
      " 16  job_retired          45211 non-null  uint8 \n",
      " 17  job_self-employed    45211 non-null  uint8 \n",
      " 18  job_services         45211 non-null  uint8 \n",
      " 19  job_student          45211 non-null  uint8 \n",
      " 20  job_technician       45211 non-null  uint8 \n",
      " 21  job_unemployed       45211 non-null  uint8 \n",
      " 22  job_unknown          45211 non-null  uint8 \n",
      " 23  marital_divorced     45211 non-null  uint8 \n",
      " 24  marital_married      45211 non-null  uint8 \n",
      " 25  marital_single       45211 non-null  uint8 \n",
      " 26  education_primary    45211 non-null  uint8 \n",
      " 27  education_secondary  45211 non-null  uint8 \n",
      " 28  education_tertiary   45211 non-null  uint8 \n",
      " 29  education_unknown    45211 non-null  uint8 \n",
      " 30  contact_cellular     45211 non-null  uint8 \n",
      " 31  contact_telephone    45211 non-null  uint8 \n",
      " 32  contact_unknown      45211 non-null  uint8 \n",
      " 33  poutcome_failure     45211 non-null  uint8 \n",
      " 34  poutcome_other       45211 non-null  uint8 \n",
      " 35  poutcome_success     45211 non-null  uint8 \n",
      " 36  poutcome_unknown     45211 non-null  uint8 \n",
      " 37  month_apr            45211 non-null  uint8 \n",
      " 38  month_aug            45211 non-null  uint8 \n",
      " 39  month_dec            45211 non-null  uint8 \n",
      " 40  month_feb            45211 non-null  uint8 \n",
      " 41  month_jan            45211 non-null  uint8 \n",
      " 42  month_jul            45211 non-null  uint8 \n",
      " 43  month_jun            45211 non-null  uint8 \n",
      " 44  month_mar            45211 non-null  uint8 \n",
      " 45  month_may            45211 non-null  uint8 \n",
      " 46  month_nov            45211 non-null  uint8 \n",
      " 47  month_oct            45211 non-null  uint8 \n",
      " 48  month_sep            45211 non-null  uint8 \n",
      "dtypes: int64(7), object(4), uint8(38)\n",
      "memory usage: 5.4+ MB\n"
     ]
    }
   ],
   "source": [
    "data1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8ba40f05",
   "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>default</th>\n",
       "      <th>balance</th>\n",
       "      <th>housing</th>\n",
       "      <th>loan</th>\n",
       "      <th>day</th>\n",
       "      <th>duration</th>\n",
       "      <th>campaign</th>\n",
       "      <th>pdays</th>\n",
       "      <th>previous</th>\n",
       "      <th>y</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>job_unemployed</th>\n",
       "      <th>job_unknown</th>\n",
       "      <th>marital_divorced</th>\n",
       "      <th>marital_married</th>\n",
       "      <th>marital_single</th>\n",
       "      <th>education_primary</th>\n",
       "      <th>education_secondary</th>\n",
       "      <th>education_tertiary</th>\n",
       "      <th>education_unknown</th>\n",
       "      <th>contact_cellular</th>\n",
       "      <th>contact_telephone</th>\n",
       "      <th>contact_unknown</th>\n",
       "      <th>poutcome_failure</th>\n",
       "      <th>poutcome_other</th>\n",
       "      <th>poutcome_success</th>\n",
       "      <th>poutcome_unknown</th>\n",
       "      <th>month_apr</th>\n",
       "      <th>month_aug</th>\n",
       "      <th>month_dec</th>\n",
       "      <th>month_feb</th>\n",
       "      <th>month_jan</th>\n",
       "      <th>month_jul</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>58</td>\n",
       "      <td>0</td>\n",
       "      <td>2143</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>261</td>\n",
       "      <td>1</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>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>1</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>1</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>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>151</td>\n",
       "      <td>1</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>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>1</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>1</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>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</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>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>1</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>1</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>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>1506</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>92</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</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>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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>198</td>\n",
       "      <td>1</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>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>1</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>1</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>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45206</th>\n",
       "      <td>51</td>\n",
       "      <td>0</td>\n",
       "      <td>825</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>977</td>\n",
       "      <td>3</td>\n",
       "      <td>-1</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>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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>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>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45207</th>\n",
       "      <td>71</td>\n",
       "      <td>0</td>\n",
       "      <td>1729</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>456</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</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>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>1</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>1</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>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45208</th>\n",
       "      <td>72</td>\n",
       "      <td>0</td>\n",
       "      <td>5715</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>1127</td>\n",
       "      <td>5</td>\n",
       "      <td>184</td>\n",
       "      <td>3</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>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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45209</th>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>668</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>508</td>\n",
       "      <td>4</td>\n",
       "      <td>-1</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>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>1</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>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>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45210</th>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>2971</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>361</td>\n",
       "      <td>2</td>\n",
       "      <td>188</td>\n",
       "      <td>11</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>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>1</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>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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45211 rows × 49 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       age  default  balance  housing  loan  day  duration  campaign  pdays  \\\n",
       "0       58        0     2143        1     0    5       261         1     -1   \n",
       "1       44        0       29        1     0    5       151         1     -1   \n",
       "2       33        0        2        1     1    5        76         1     -1   \n",
       "3       47        0     1506        1     0    5        92         1     -1   \n",
       "4       33        0        1        0     0    5       198         1     -1   \n",
       "...    ...      ...      ...      ...   ...  ...       ...       ...    ...   \n",
       "45206   51        0      825        0     0   17       977         3     -1   \n",
       "45207   71        0     1729        0     0   17       456         2     -1   \n",
       "45208   72        0     5715        0     0   17      1127         5    184   \n",
       "45209   57        0      668        0     0   17       508         4     -1   \n",
       "45210   37        0     2971        0     0   17       361         2    188   \n",
       "\n",
       "       previous  y  job_admin.  job_blue-collar  job_entrepreneur  \\\n",
       "0             0  0           0                0                 0   \n",
       "1             0  0           0                0                 0   \n",
       "2             0  0           0                0                 1   \n",
       "3             0  0           0                1                 0   \n",
       "4             0  0           0                0                 0   \n",
       "...         ... ..         ...              ...               ...   \n",
       "45206         0  1           0                0                 0   \n",
       "45207         0  1           0                0                 0   \n",
       "45208         3  1           0                0                 0   \n",
       "45209         0  0           0                1                 0   \n",
       "45210        11  0           0                0                 1   \n",
       "\n",
       "       job_housemaid  job_management  job_retired  job_self-employed  \\\n",
       "0                  0               1            0                  0   \n",
       "1                  0               0            0                  0   \n",
       "2                  0               0            0                  0   \n",
       "3                  0               0            0                  0   \n",
       "4                  0               0            0                  0   \n",
       "...              ...             ...          ...                ...   \n",
       "45206              0               0            0                  0   \n",
       "45207              0               0            1                  0   \n",
       "45208              0               0            1                  0   \n",
       "45209              0               0            0                  0   \n",
       "45210              0               0            0                  0   \n",
       "\n",
       "       job_services  job_student  job_technician  job_unemployed  job_unknown  \\\n",
       "0                 0            0               0               0            0   \n",
       "1                 0            0               1               0            0   \n",
       "2                 0            0               0               0            0   \n",
       "3                 0            0               0               0            0   \n",
       "4                 0            0               0               0            1   \n",
       "...             ...          ...             ...             ...          ...   \n",
       "45206             0            0               1               0            0   \n",
       "45207             0            0               0               0            0   \n",
       "45208             0            0               0               0            0   \n",
       "45209             0            0               0               0            0   \n",
       "45210             0            0               0               0            0   \n",
       "\n",
       "       marital_divorced  marital_married  marital_single  education_primary  \\\n",
       "0                     0                1               0                  0   \n",
       "1                     0                0               1                  0   \n",
       "2                     0                1               0                  0   \n",
       "3                     0                1               0                  0   \n",
       "4                     0                0               1                  0   \n",
       "...                 ...              ...             ...                ...   \n",
       "45206                 0                1               0                  0   \n",
       "45207                 1                0               0                  1   \n",
       "45208                 0                1               0                  0   \n",
       "45209                 0                1               0                  0   \n",
       "45210                 0                1               0                  0   \n",
       "\n",
       "       education_secondary  education_tertiary  education_unknown  \\\n",
       "0                        0                   1                  0   \n",
       "1                        1                   0                  0   \n",
       "2                        1                   0                  0   \n",
       "3                        0                   0                  1   \n",
       "4                        0                   0                  1   \n",
       "...                    ...                 ...                ...   \n",
       "45206                    0                   1                  0   \n",
       "45207                    0                   0                  0   \n",
       "45208                    1                   0                  0   \n",
       "45209                    1                   0                  0   \n",
       "45210                    1                   0                  0   \n",
       "\n",
       "       contact_cellular  contact_telephone  contact_unknown  poutcome_failure  \\\n",
       "0                     0                  0                1                 0   \n",
       "1                     0                  0                1                 0   \n",
       "2                     0                  0                1                 0   \n",
       "3                     0                  0                1                 0   \n",
       "4                     0                  0                1                 0   \n",
       "...                 ...                ...              ...               ...   \n",
       "45206                 1                  0                0                 0   \n",
       "45207                 1                  0                0                 0   \n",
       "45208                 1                  0                0                 0   \n",
       "45209                 0                  1                0                 0   \n",
       "45210                 1                  0                0                 0   \n",
       "\n",
       "       poutcome_other  poutcome_success  poutcome_unknown  month_apr  \\\n",
       "0                   0                 0                 1          0   \n",
       "1                   0                 0                 1          0   \n",
       "2                   0                 0                 1          0   \n",
       "3                   0                 0                 1          0   \n",
       "4                   0                 0                 1          0   \n",
       "...               ...               ...               ...        ...   \n",
       "45206               0                 0                 1          0   \n",
       "45207               0                 0                 1          0   \n",
       "45208               0                 1                 0          0   \n",
       "45209               0                 0                 1          0   \n",
       "45210               1                 0                 0          0   \n",
       "\n",
       "       month_aug  month_dec  month_feb  month_jan  month_jul  month_jun  \\\n",
       "0              0          0          0          0          0          0   \n",
       "1              0          0          0          0          0          0   \n",
       "2              0          0          0          0          0          0   \n",
       "3              0          0          0          0          0          0   \n",
       "4              0          0          0          0          0          0   \n",
       "...          ...        ...        ...        ...        ...        ...   \n",
       "45206          0          0          0          0          0          0   \n",
       "45207          0          0          0          0          0          0   \n",
       "45208          0          0          0          0          0          0   \n",
       "45209          0          0          0          0          0          0   \n",
       "45210          0          0          0          0          0          0   \n",
       "\n",
       "       month_mar  month_may  month_nov  month_oct  month_sep  \n",
       "0              0          1          0          0          0  \n",
       "1              0          1          0          0          0  \n",
       "2              0          1          0          0          0  \n",
       "3              0          1          0          0          0  \n",
       "4              0          1          0          0          0  \n",
       "...          ...        ...        ...        ...        ...  \n",
       "45206          0          0          1          0          0  \n",
       "45207          0          0          1          0          0  \n",
       "45208          0          0          1          0          0  \n",
       "45209          0          0          1          0          0  \n",
       "45210          0          0          1          0          0  \n",
       "\n",
       "[45211 rows x 49 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Custom Binary Encoding of Binary o/p variables \n",
    "data1['default'] = np.where(data1['default'].str.contains(\"yes\"), 1, 0)\n",
    "data1['housing'] = np.where(data1['housing'].str.contains(\"yes\"), 1, 0)\n",
    "data1['loan'] = np.where(data1['loan'].str.contains(\"yes\"), 1, 0)\n",
    "data1['y'] = np.where(data1['y'].str.contains(\"yes\"), 1, 0)\n",
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3014d468",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 45211 entries, 0 to 45210\n",
      "Data columns (total 49 columns):\n",
      " #   Column               Non-Null Count  Dtype\n",
      "---  ------               --------------  -----\n",
      " 0   age                  45211 non-null  int64\n",
      " 1   default              45211 non-null  int32\n",
      " 2   balance              45211 non-null  int64\n",
      " 3   housing              45211 non-null  int32\n",
      " 4   loan                 45211 non-null  int32\n",
      " 5   day                  45211 non-null  int64\n",
      " 6   duration             45211 non-null  int64\n",
      " 7   campaign             45211 non-null  int64\n",
      " 8   pdays                45211 non-null  int64\n",
      " 9   previous             45211 non-null  int64\n",
      " 10  y                    45211 non-null  int32\n",
      " 11  job_admin.           45211 non-null  uint8\n",
      " 12  job_blue-collar      45211 non-null  uint8\n",
      " 13  job_entrepreneur     45211 non-null  uint8\n",
      " 14  job_housemaid        45211 non-null  uint8\n",
      " 15  job_management       45211 non-null  uint8\n",
      " 16  job_retired          45211 non-null  uint8\n",
      " 17  job_self-employed    45211 non-null  uint8\n",
      " 18  job_services         45211 non-null  uint8\n",
      " 19  job_student          45211 non-null  uint8\n",
      " 20  job_technician       45211 non-null  uint8\n",
      " 21  job_unemployed       45211 non-null  uint8\n",
      " 22  job_unknown          45211 non-null  uint8\n",
      " 23  marital_divorced     45211 non-null  uint8\n",
      " 24  marital_married      45211 non-null  uint8\n",
      " 25  marital_single       45211 non-null  uint8\n",
      " 26  education_primary    45211 non-null  uint8\n",
      " 27  education_secondary  45211 non-null  uint8\n",
      " 28  education_tertiary   45211 non-null  uint8\n",
      " 29  education_unknown    45211 non-null  uint8\n",
      " 30  contact_cellular     45211 non-null  uint8\n",
      " 31  contact_telephone    45211 non-null  uint8\n",
      " 32  contact_unknown      45211 non-null  uint8\n",
      " 33  poutcome_failure     45211 non-null  uint8\n",
      " 34  poutcome_other       45211 non-null  uint8\n",
      " 35  poutcome_success     45211 non-null  uint8\n",
      " 36  poutcome_unknown     45211 non-null  uint8\n",
      " 37  month_apr            45211 non-null  uint8\n",
      " 38  month_aug            45211 non-null  uint8\n",
      " 39  month_dec            45211 non-null  uint8\n",
      " 40  month_feb            45211 non-null  uint8\n",
      " 41  month_jan            45211 non-null  uint8\n",
      " 42  month_jul            45211 non-null  uint8\n",
      " 43  month_jun            45211 non-null  uint8\n",
      " 44  month_mar            45211 non-null  uint8\n",
      " 45  month_may            45211 non-null  uint8\n",
      " 46  month_nov            45211 non-null  uint8\n",
      " 47  month_oct            45211 non-null  uint8\n",
      " 48  month_sep            45211 non-null  uint8\n",
      "dtypes: int32(4), int64(7), uint8(38)\n",
      "memory usage: 4.7 MB\n"
     ]
    }
   ],
   "source": [
    "data1.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b3b53e9",
   "metadata": {},
   "source": [
    "## Model Building "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "13cda64c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dividing our data into input and output variables\n",
    "x=pd.concat([data1.iloc[:,0:10],data1.iloc[:,11:]],axis=1)\n",
    "y=data1.iloc[:,10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c462c0ee",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Asus\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:814: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Logistic regression model\n",
    "classifier=LogisticRegression()\n",
    "classifier.fit(x,y)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb9a0788",
   "metadata": {},
   "source": [
    "## Model Predictions "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "df505809",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, ..., 1, 0, 0])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Predict for x dataset\n",
    "y_pred=classifier.predict(x)\n",
    "y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1ee01835",
   "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>actual_y</th>\n",
       "      <th>y_pred_prob</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45206</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45207</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45208</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45209</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45210</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45211 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       actual_y  y_pred_prob\n",
       "0             0            0\n",
       "1             0            0\n",
       "2             0            0\n",
       "3             0            0\n",
       "4             0            0\n",
       "...         ...          ...\n",
       "45206         1            1\n",
       "45207         1            0\n",
       "45208         1            1\n",
       "45209         0            0\n",
       "45210         0            0\n",
       "\n",
       "[45211 rows x 2 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred_df=pd.DataFrame({'actual_y':y,'y_pred_prob':y_pred})\n",
    "y_pred_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c998c7e7",
   "metadata": {},
   "source": [
    "## Testing Model Accuracy "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d2c3da4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[39155,   767],\n",
       "       [ 4122,  1167]], dtype=int64)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Confusion Matrix for the model accuracy\n",
    "confusion_matrix = confusion_matrix(y,y_pred)\n",
    "confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "045b7a83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8917741257658535"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The model accuracy is calculated by (a+d)/(a+b+c+d)\n",
    "(39156+1162)/(39156+766+4127+1162)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "481093d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.04363952, 0.02441494, 0.0179702 , ..., 0.67028716, 0.07897682,\n",
       "       0.10009137])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# As accuracy = 0.8933, which is greater than 0.5; Thus [:,1] Threshold value>0.5=1 else [:,0] Threshold value<0.5=0 \n",
    "classifier.predict_proba(x)[:,1] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "45410bc9",
   "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": [
      "auc accuracy: 0.6007170803827532\n"
     ]
    }
   ],
   "source": [
    "# ROC Curve plotting and finding AUC value\n",
    "fpr,tpr,thresholds=roc_curve(y,classifier.predict_proba(x)[:,1])\n",
    "plt.plot(fpr,tpr,color='red')\n",
    "auc=roc_auc_score(y,y_pred)\n",
    "\n",
    "plt.plot(fpr,tpr,color='red',label='logit model(area  = %0.2f)'%auc)\n",
    "plt.plot([0,1],[0,1],'k--')\n",
    "plt.xlabel('False Positive Rate or [1 - True Negative Rate]')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.show()\n",
    "\n",
    "print('auc accuracy:',auc)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "612b7099",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c863313f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}