{
 "cells": [
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   "cell_type": "code",
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   "metadata": {},
   "outputs": [
    {
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     "text": [
      "(284807, 31)\n"
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>V1</th>\n",
       "      <th>V2</th>\n",
       "      <th>V3</th>\n",
       "      <th>V4</th>\n",
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       "      <th>V21</th>\n",
       "      <th>V22</th>\n",
       "      <th>V23</th>\n",
       "      <th>V24</th>\n",
       "      <th>V25</th>\n",
       "      <th>V26</th>\n",
       "      <th>V27</th>\n",
       "      <th>V28</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Class</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
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       "      <td>2.536347</td>\n",
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       "      <td>0.462388</td>\n",
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       "      <td>0.098698</td>\n",
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       "      <td>0.277838</td>\n",
       "      <td>-0.110474</td>\n",
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       "      <td>0.128539</td>\n",
       "      <td>-0.189115</td>\n",
       "      <td>0.133558</td>\n",
       "      <td>-0.021053</td>\n",
       "      <td>149.62</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.060018</td>\n",
       "      <td>-0.082361</td>\n",
       "      <td>-0.078803</td>\n",
       "      <td>0.085102</td>\n",
       "      <td>-0.255425</td>\n",
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       "      <td>-0.225775</td>\n",
       "      <td>-0.638672</td>\n",
       "      <td>0.101288</td>\n",
       "      <td>-0.339846</td>\n",
       "      <td>0.167170</td>\n",
       "      <td>0.125895</td>\n",
       "      <td>-0.008983</td>\n",
       "      <td>0.014724</td>\n",
       "      <td>2.69</td>\n",
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       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
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       "      <td>1.773209</td>\n",
       "      <td>0.379780</td>\n",
       "      <td>-0.503198</td>\n",
       "      <td>1.800499</td>\n",
       "      <td>0.791461</td>\n",
       "      <td>0.247676</td>\n",
       "      <td>-1.514654</td>\n",
       "      <td>...</td>\n",
       "      <td>0.247998</td>\n",
       "      <td>0.771679</td>\n",
       "      <td>0.909412</td>\n",
       "      <td>-0.689281</td>\n",
       "      <td>-0.327642</td>\n",
       "      <td>-0.139097</td>\n",
       "      <td>-0.055353</td>\n",
       "      <td>-0.059752</td>\n",
       "      <td>378.66</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.966272</td>\n",
       "      <td>-0.185226</td>\n",
       "      <td>1.792993</td>\n",
       "      <td>-0.863291</td>\n",
       "      <td>-0.010309</td>\n",
       "      <td>1.247203</td>\n",
       "      <td>0.237609</td>\n",
       "      <td>0.377436</td>\n",
       "      <td>-1.387024</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.108300</td>\n",
       "      <td>0.005274</td>\n",
       "      <td>-0.190321</td>\n",
       "      <td>-1.175575</td>\n",
       "      <td>0.647376</td>\n",
       "      <td>-0.221929</td>\n",
       "      <td>0.062723</td>\n",
       "      <td>0.061458</td>\n",
       "      <td>123.50</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.0</td>\n",
       "      <td>-1.158233</td>\n",
       "      <td>0.877737</td>\n",
       "      <td>1.548718</td>\n",
       "      <td>0.403034</td>\n",
       "      <td>-0.407193</td>\n",
       "      <td>0.095921</td>\n",
       "      <td>0.592941</td>\n",
       "      <td>-0.270533</td>\n",
       "      <td>0.817739</td>\n",
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       "      <td>-0.009431</td>\n",
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       "      <td>-0.137458</td>\n",
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       "      <td>-0.206010</td>\n",
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       "<p>5 rows × 31 columns</p>\n",
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      ],
      "text/plain": [
       "   Time        V1        V2        V3        V4        V5        V6        V7  \\\n",
       "0   0.0 -1.359807 -0.072781  2.536347  1.378155 -0.338321  0.462388  0.239599   \n",
       "1   0.0  1.191857  0.266151  0.166480  0.448154  0.060018 -0.082361 -0.078803   \n",
       "2   1.0 -1.358354 -1.340163  1.773209  0.379780 -0.503198  1.800499  0.791461   \n",
       "3   1.0 -0.966272 -0.185226  1.792993 -0.863291 -0.010309  1.247203  0.237609   \n",
       "4   2.0 -1.158233  0.877737  1.548718  0.403034 -0.407193  0.095921  0.592941   \n",
       "\n",
       "         V8        V9  ...       V21       V22       V23       V24       V25  \\\n",
       "0  0.098698  0.363787  ... -0.018307  0.277838 -0.110474  0.066928  0.128539   \n",
       "1  0.085102 -0.255425  ... -0.225775 -0.638672  0.101288 -0.339846  0.167170   \n",
       "2  0.247676 -1.514654  ...  0.247998  0.771679  0.909412 -0.689281 -0.327642   \n",
       "3  0.377436 -1.387024  ... -0.108300  0.005274 -0.190321 -1.175575  0.647376   \n",
       "4 -0.270533  0.817739  ... -0.009431  0.798278 -0.137458  0.141267 -0.206010   \n",
       "\n",
       "        V26       V27       V28  Amount  Class  \n",
       "0 -0.189115  0.133558 -0.021053  149.62      0  \n",
       "1  0.125895 -0.008983  0.014724    2.69      0  \n",
       "2 -0.139097 -0.055353 -0.059752  378.66      0  \n",
       "3 -0.221929  0.062723  0.061458  123.50      0  \n",
       "4  0.502292  0.219422  0.215153   69.99      0  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set()\n",
    "%matplotlib inline\n",
    "\n",
    "df = pd.read_csv(r'C:\\Users\\User\\OneDrive\\Documents\\Data Analysis\\data\\creditcard.csv')\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method DataFrame.info of             Time         V1         V2        V3        V4        V5  \\\n",
       "0            0.0  -1.359807  -0.072781  2.536347  1.378155 -0.338321   \n",
       "1            0.0   1.191857   0.266151  0.166480  0.448154  0.060018   \n",
       "2            1.0  -1.358354  -1.340163  1.773209  0.379780 -0.503198   \n",
       "3            1.0  -0.966272  -0.185226  1.792993 -0.863291 -0.010309   \n",
       "4            2.0  -1.158233   0.877737  1.548718  0.403034 -0.407193   \n",
       "...          ...        ...        ...       ...       ...       ...   \n",
       "284802  172786.0 -11.881118  10.071785 -9.834783 -2.066656 -5.364473   \n",
       "284803  172787.0  -0.732789  -0.055080  2.035030 -0.738589  0.868229   \n",
       "284804  172788.0   1.919565  -0.301254 -3.249640 -0.557828  2.630515   \n",
       "284805  172788.0  -0.240440   0.530483  0.702510  0.689799 -0.377961   \n",
       "284806  172792.0  -0.533413  -0.189733  0.703337 -0.506271 -0.012546   \n",
       "\n",
       "              V6        V7        V8        V9  ...       V21       V22  \\\n",
       "0       0.462388  0.239599  0.098698  0.363787  ... -0.018307  0.277838   \n",
       "1      -0.082361 -0.078803  0.085102 -0.255425  ... -0.225775 -0.638672   \n",
       "2       1.800499  0.791461  0.247676 -1.514654  ...  0.247998  0.771679   \n",
       "3       1.247203  0.237609  0.377436 -1.387024  ... -0.108300  0.005274   \n",
       "4       0.095921  0.592941 -0.270533  0.817739  ... -0.009431  0.798278   \n",
       "...          ...       ...       ...       ...  ...       ...       ...   \n",
       "284802 -2.606837 -4.918215  7.305334  1.914428  ...  0.213454  0.111864   \n",
       "284803  1.058415  0.024330  0.294869  0.584800  ...  0.214205  0.924384   \n",
       "284804  3.031260 -0.296827  0.708417  0.432454  ...  0.232045  0.578229   \n",
       "284805  0.623708 -0.686180  0.679145  0.392087  ...  0.265245  0.800049   \n",
       "284806 -0.649617  1.577006 -0.414650  0.486180  ...  0.261057  0.643078   \n",
       "\n",
       "             V23       V24       V25       V26       V27       V28  Amount  \\\n",
       "0      -0.110474  0.066928  0.128539 -0.189115  0.133558 -0.021053  149.62   \n",
       "1       0.101288 -0.339846  0.167170  0.125895 -0.008983  0.014724    2.69   \n",
       "2       0.909412 -0.689281 -0.327642 -0.139097 -0.055353 -0.059752  378.66   \n",
       "3      -0.190321 -1.175575  0.647376 -0.221929  0.062723  0.061458  123.50   \n",
       "4      -0.137458  0.141267 -0.206010  0.502292  0.219422  0.215153   69.99   \n",
       "...          ...       ...       ...       ...       ...       ...     ...   \n",
       "284802  1.014480 -0.509348  1.436807  0.250034  0.943651  0.823731    0.77   \n",
       "284803  0.012463 -1.016226 -0.606624 -0.395255  0.068472 -0.053527   24.79   \n",
       "284804 -0.037501  0.640134  0.265745 -0.087371  0.004455 -0.026561   67.88   \n",
       "284805 -0.163298  0.123205 -0.569159  0.546668  0.108821  0.104533   10.00   \n",
       "284806  0.376777  0.008797 -0.473649 -0.818267 -0.002415  0.013649  217.00   \n",
       "\n",
       "        Class  \n",
       "0           0  \n",
       "1           0  \n",
       "2           0  \n",
       "3           0  \n",
       "4           0  \n",
       "...       ...  \n",
       "284802      0  \n",
       "284803      0  \n",
       "284804      0  \n",
       "284805      0  \n",
       "284806      0  \n",
       "\n",
       "[284807 rows x 31 columns]>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>V1</th>\n",
       "      <th>V2</th>\n",
       "      <th>V3</th>\n",
       "      <th>V4</th>\n",
       "      <th>V5</th>\n",
       "      <th>V6</th>\n",
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       "      <th>V8</th>\n",
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       "      <th>V21</th>\n",
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       "      <th>V23</th>\n",
       "      <th>V24</th>\n",
       "      <th>V25</th>\n",
       "      <th>V26</th>\n",
       "      <th>V27</th>\n",
       "      <th>V28</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Class</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>284807.000000</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>284807.000000</td>\n",
       "      <td>284807.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>94813.859575</td>\n",
       "      <td>1.168375e-15</td>\n",
       "      <td>3.416908e-16</td>\n",
       "      <td>-1.379537e-15</td>\n",
       "      <td>2.074095e-15</td>\n",
       "      <td>9.604066e-16</td>\n",
       "      <td>1.487313e-15</td>\n",
       "      <td>-5.556467e-16</td>\n",
       "      <td>1.213481e-16</td>\n",
       "      <td>-2.406331e-15</td>\n",
       "      <td>...</td>\n",
       "      <td>1.654067e-16</td>\n",
       "      <td>-3.568593e-16</td>\n",
       "      <td>2.578648e-16</td>\n",
       "      <td>4.473266e-15</td>\n",
       "      <td>5.340915e-16</td>\n",
       "      <td>1.683437e-15</td>\n",
       "      <td>-3.660091e-16</td>\n",
       "      <td>-1.227390e-16</td>\n",
       "      <td>88.349619</td>\n",
       "      <td>0.001727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>47488.145955</td>\n",
       "      <td>1.958696e+00</td>\n",
       "      <td>1.651309e+00</td>\n",
       "      <td>1.516255e+00</td>\n",
       "      <td>1.415869e+00</td>\n",
       "      <td>1.380247e+00</td>\n",
       "      <td>1.332271e+00</td>\n",
       "      <td>1.237094e+00</td>\n",
       "      <td>1.194353e+00</td>\n",
       "      <td>1.098632e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>7.345240e-01</td>\n",
       "      <td>7.257016e-01</td>\n",
       "      <td>6.244603e-01</td>\n",
       "      <td>6.056471e-01</td>\n",
       "      <td>5.212781e-01</td>\n",
       "      <td>4.822270e-01</td>\n",
       "      <td>4.036325e-01</td>\n",
       "      <td>3.300833e-01</td>\n",
       "      <td>250.120109</td>\n",
       "      <td>0.041527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>-5.640751e+01</td>\n",
       "      <td>-7.271573e+01</td>\n",
       "      <td>-4.832559e+01</td>\n",
       "      <td>-5.683171e+00</td>\n",
       "      <td>-1.137433e+02</td>\n",
       "      <td>-2.616051e+01</td>\n",
       "      <td>-4.355724e+01</td>\n",
       "      <td>-7.321672e+01</td>\n",
       "      <td>-1.343407e+01</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.483038e+01</td>\n",
       "      <td>-1.093314e+01</td>\n",
       "      <td>-4.480774e+01</td>\n",
       "      <td>-2.836627e+00</td>\n",
       "      <td>-1.029540e+01</td>\n",
       "      <td>-2.604551e+00</td>\n",
       "      <td>-2.256568e+01</td>\n",
       "      <td>-1.543008e+01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>54201.500000</td>\n",
       "      <td>-9.203734e-01</td>\n",
       "      <td>-5.985499e-01</td>\n",
       "      <td>-8.903648e-01</td>\n",
       "      <td>-8.486401e-01</td>\n",
       "      <td>-6.915971e-01</td>\n",
       "      <td>-7.682956e-01</td>\n",
       "      <td>-5.540759e-01</td>\n",
       "      <td>-2.086297e-01</td>\n",
       "      <td>-6.430976e-01</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.283949e-01</td>\n",
       "      <td>-5.423504e-01</td>\n",
       "      <td>-1.618463e-01</td>\n",
       "      <td>-3.545861e-01</td>\n",
       "      <td>-3.171451e-01</td>\n",
       "      <td>-3.269839e-01</td>\n",
       "      <td>-7.083953e-02</td>\n",
       "      <td>-5.295979e-02</td>\n",
       "      <td>5.600000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>84692.000000</td>\n",
       "      <td>1.810880e-02</td>\n",
       "      <td>6.548556e-02</td>\n",
       "      <td>1.798463e-01</td>\n",
       "      <td>-1.984653e-02</td>\n",
       "      <td>-5.433583e-02</td>\n",
       "      <td>-2.741871e-01</td>\n",
       "      <td>4.010308e-02</td>\n",
       "      <td>2.235804e-02</td>\n",
       "      <td>-5.142873e-02</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.945017e-02</td>\n",
       "      <td>6.781943e-03</td>\n",
       "      <td>-1.119293e-02</td>\n",
       "      <td>4.097606e-02</td>\n",
       "      <td>1.659350e-02</td>\n",
       "      <td>-5.213911e-02</td>\n",
       "      <td>1.342146e-03</td>\n",
       "      <td>1.124383e-02</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>139320.500000</td>\n",
       "      <td>1.315642e+00</td>\n",
       "      <td>8.037239e-01</td>\n",
       "      <td>1.027196e+00</td>\n",
       "      <td>7.433413e-01</td>\n",
       "      <td>6.119264e-01</td>\n",
       "      <td>3.985649e-01</td>\n",
       "      <td>5.704361e-01</td>\n",
       "      <td>3.273459e-01</td>\n",
       "      <td>5.971390e-01</td>\n",
       "      <td>...</td>\n",
       "      <td>1.863772e-01</td>\n",
       "      <td>5.285536e-01</td>\n",
       "      <td>1.476421e-01</td>\n",
       "      <td>4.395266e-01</td>\n",
       "      <td>3.507156e-01</td>\n",
       "      <td>2.409522e-01</td>\n",
       "      <td>9.104512e-02</td>\n",
       "      <td>7.827995e-02</td>\n",
       "      <td>77.165000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>172792.000000</td>\n",
       "      <td>2.454930e+00</td>\n",
       "      <td>2.205773e+01</td>\n",
       "      <td>9.382558e+00</td>\n",
       "      <td>1.687534e+01</td>\n",
       "      <td>3.480167e+01</td>\n",
       "      <td>7.330163e+01</td>\n",
       "      <td>1.205895e+02</td>\n",
       "      <td>2.000721e+01</td>\n",
       "      <td>1.559499e+01</td>\n",
       "      <td>...</td>\n",
       "      <td>2.720284e+01</td>\n",
       "      <td>1.050309e+01</td>\n",
       "      <td>2.252841e+01</td>\n",
       "      <td>4.584549e+00</td>\n",
       "      <td>7.519589e+00</td>\n",
       "      <td>3.517346e+00</td>\n",
       "      <td>3.161220e+01</td>\n",
       "      <td>3.384781e+01</td>\n",
       "      <td>25691.160000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Time            V1            V2            V3            V4  \\\n",
       "count  284807.000000  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05   \n",
       "mean    94813.859575  1.168375e-15  3.416908e-16 -1.379537e-15  2.074095e-15   \n",
       "std     47488.145955  1.958696e+00  1.651309e+00  1.516255e+00  1.415869e+00   \n",
       "min         0.000000 -5.640751e+01 -7.271573e+01 -4.832559e+01 -5.683171e+00   \n",
       "25%     54201.500000 -9.203734e-01 -5.985499e-01 -8.903648e-01 -8.486401e-01   \n",
       "50%     84692.000000  1.810880e-02  6.548556e-02  1.798463e-01 -1.984653e-02   \n",
       "75%    139320.500000  1.315642e+00  8.037239e-01  1.027196e+00  7.433413e-01   \n",
       "max    172792.000000  2.454930e+00  2.205773e+01  9.382558e+00  1.687534e+01   \n",
       "\n",
       "                 V5            V6            V7            V8            V9  \\\n",
       "count  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05   \n",
       "mean   9.604066e-16  1.487313e-15 -5.556467e-16  1.213481e-16 -2.406331e-15   \n",
       "std    1.380247e+00  1.332271e+00  1.237094e+00  1.194353e+00  1.098632e+00   \n",
       "min   -1.137433e+02 -2.616051e+01 -4.355724e+01 -7.321672e+01 -1.343407e+01   \n",
       "25%   -6.915971e-01 -7.682956e-01 -5.540759e-01 -2.086297e-01 -6.430976e-01   \n",
       "50%   -5.433583e-02 -2.741871e-01  4.010308e-02  2.235804e-02 -5.142873e-02   \n",
       "75%    6.119264e-01  3.985649e-01  5.704361e-01  3.273459e-01  5.971390e-01   \n",
       "max    3.480167e+01  7.330163e+01  1.205895e+02  2.000721e+01  1.559499e+01   \n",
       "\n",
       "       ...           V21           V22           V23           V24  \\\n",
       "count  ...  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05   \n",
       "mean   ...  1.654067e-16 -3.568593e-16  2.578648e-16  4.473266e-15   \n",
       "std    ...  7.345240e-01  7.257016e-01  6.244603e-01  6.056471e-01   \n",
       "min    ... -3.483038e+01 -1.093314e+01 -4.480774e+01 -2.836627e+00   \n",
       "25%    ... -2.283949e-01 -5.423504e-01 -1.618463e-01 -3.545861e-01   \n",
       "50%    ... -2.945017e-02  6.781943e-03 -1.119293e-02  4.097606e-02   \n",
       "75%    ...  1.863772e-01  5.285536e-01  1.476421e-01  4.395266e-01   \n",
       "max    ...  2.720284e+01  1.050309e+01  2.252841e+01  4.584549e+00   \n",
       "\n",
       "                V25           V26           V27           V28         Amount  \\\n",
       "count  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05  284807.000000   \n",
       "mean   5.340915e-16  1.683437e-15 -3.660091e-16 -1.227390e-16      88.349619   \n",
       "std    5.212781e-01  4.822270e-01  4.036325e-01  3.300833e-01     250.120109   \n",
       "min   -1.029540e+01 -2.604551e+00 -2.256568e+01 -1.543008e+01       0.000000   \n",
       "25%   -3.171451e-01 -3.269839e-01 -7.083953e-02 -5.295979e-02       5.600000   \n",
       "50%    1.659350e-02 -5.213911e-02  1.342146e-03  1.124383e-02      22.000000   \n",
       "75%    3.507156e-01  2.409522e-01  9.104512e-02  7.827995e-02      77.165000   \n",
       "max    7.519589e+00  3.517346e+00  3.161220e+01  3.384781e+01   25691.160000   \n",
       "\n",
       "               Class  \n",
       "count  284807.000000  \n",
       "mean        0.001727  \n",
       "std         0.041527  \n",
       "min         0.000000  \n",
       "25%         0.000000  \n",
       "50%         0.000000  \n",
       "75%         0.000000  \n",
       "max         1.000000  \n",
       "\n",
       "[8 rows x 31 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Class\n",
      "Not Fraud    284315\n",
      "Fraud           492\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "class_names = {0:'Not Fraud', 1:'Fraud'}\n",
    "print(df.Class.value_counts().rename(index = class_names))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1200 with 29 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (15, 12))\n",
    "\n",
    "plt.subplot(5, 6, 1) ; plt.plot(df.V1) ; plt.subplot(5, 6, 15) ; plt.plot(df.V15)\n",
    "plt.subplot(5, 6, 2) ; plt.plot(df.V2) ; plt.subplot(5, 6, 16) ; plt.plot(df.V16)\n",
    "plt.subplot(5, 6, 3) ; plt.plot(df.V3) ; plt.subplot(5, 6, 17) ; plt.plot(df.V17)\n",
    "plt.subplot(5, 6, 4) ; plt.plot(df.V4) ; plt.subplot(5, 6, 18) ; plt.plot(df.V18)\n",
    "plt.subplot(5, 6, 5) ; plt.plot(df.V5) ; plt.subplot(5, 6, 19) ; plt.plot(df.V19)\n",
    "plt.subplot(5, 6, 6) ; plt.plot(df.V6) ; plt.subplot(5, 6, 20) ; plt.plot(df.V20)\n",
    "plt.subplot(5, 6, 7) ; plt.plot(df.V7) ; plt.subplot(5, 6, 21) ; plt.plot(df.V21)\n",
    "plt.subplot(5, 6, 8) ; plt.plot(df.V8) ; plt.subplot(5, 6, 22) ; plt.plot(df.V22)\n",
    "plt.subplot(5, 6, 9) ; plt.plot(df.V9) ; plt.subplot(5, 6, 23) ; plt.plot(df.V23)\n",
    "plt.subplot(5, 6, 10) ; plt.plot(df.V10) ; plt.subplot(5, 6, 24) ; plt.plot(df.V24)\n",
    "plt.subplot(5, 6, 11) ; plt.plot(df.V11) ; plt.subplot(5, 6, 25) ; plt.plot(df.V25)\n",
    "plt.subplot(5, 6, 12) ; plt.plot(df.V12) ; plt.subplot(5, 6, 26) ; plt.plot(df.V26)\n",
    "plt.subplot(5, 6, 13) ; plt.plot(df.V13) ; plt.subplot(5, 6, 27) ; plt.plot(df.V27)\n",
    "plt.subplot(5, 6, 14) ; plt.plot(df.V14) ; plt.subplot(5, 6, 28) ; plt.plot(df.V28)\n",
    "plt.subplot(5, 6, 29) ; plt.plot(df.Amount)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11',\n",
      "       'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21',\n",
      "       'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount'],\n",
      "      dtype='object')\n",
      "Index(['Class'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "feature_names = df.iloc[:, 1:30].columns\n",
    "target = df.iloc[:1, 30: ].columns\n",
    "print(feature_names)\n",
    "print(target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_features = df[feature_names]\n",
    "data_target = df[target]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Length of X_train is: 199364\n",
      "Length of X_test is: 85443\n",
      "Length of y_train is: 199364\n",
      "Length of y_test is: 85443\n"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(data_features, data_target, train_size=0.70, test_size=0.30, random_state=1)\n",
    "print(\"Length of X_train is: {X_train}\".format(X_train = len(X_train)))\n",
    "print(\"Length of X_test is: {X_test}\".format(X_test = len(X_test)))\n",
    "print(\"Length of y_train is: {y_train}\".format(y_train = len(y_train)))\n",
    "print(\"Length of y_test is: {y_test}\".format(y_test = len(y_test)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\ProgramData\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:458: 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/html": [
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      ],
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = LogisticRegression()\n",
    "model.fit(X_train, y_train.values.ravel())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "pred = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "class_names = ['not_fraud', 'fraud']\n",
    "matrix = confusion_matrix(y_test, pred)\n",
    "# Create pandas dataframe\n",
    "dataframe = pd.DataFrame(matrix, index=class_names, columns=class_names)\n",
    "# Create heatmap\n",
    "sns.heatmap(dataframe, annot=True, cbar=None, cmap=\"Blues\", fmt = 'g')\n",
    "plt.title(\"Confusion Matrix\"), plt.tight_layout()\n",
    "plt.ylabel(\"True Class\"), plt.xlabel(\"Predicted Class\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sensitivity/Recall for Logistic Regression Model 1 : 0.54\n",
      "F1 Score for Logistic Regression Model 1 : 0.66\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import f1_score, recall_score\n",
    "f1_score = round(f1_score(y_test, pred), 2)\n",
    "recall_score = round(recall_score(y_test, pred), 2)\n",
    "print(\"Sensitivity/Recall for Logistic Regression Model 1 : {recall_score}\".format(recall_score = recall_score))\n",
    "print(\"F1 Score for Logistic Regression Model 1 : {f1_score}\".format(f1_score = f1_score))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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