└── Credit_Card_Fraud_Detection.ipynb


/Credit_Card_Fraud_Detection.ipynb:
--------------------------------------------------------------------------------
   1 | {
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   5 |     "colab": {
   6 |       "name": "Credit Card Fraud Detection.ipynb",
   7 |       "provenance": [],
   8 |       "collapsed_sections": [],
   9 |       "authorship_tag": "ABX9TyOvXvWa08x2LlWfoGmI6x8T",
  10 |       "include_colab_link": true
  11 |     },
  12 |     "kernelspec": {
  13 |       "name": "python3",
  14 |       "display_name": "Python 3"
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  16 |     "language_info": {
  17 |       "name": "python"
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  20 |   "cells": [
  21 |     {
  22 |       "cell_type": "markdown",
  23 |       "metadata": {
  24 |         "id": "view-in-github",
  25 |         "colab_type": "text"
  26 |       },
  27 |       "source": [
  28 |         "<a href=\"https://colab.research.google.com/github/Kaiiser7/Credit-Card-Fraud-Detection-using-Machine-Learning-with-Python/blob/main/Credit_Card_Fraud_Detection.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
  29 |       ]
  30 |     },
  31 |     {
  32 |       "cell_type": "markdown",
  33 |       "metadata": {
  34 |         "id": "MhC-OrS7Cn48"
  35 |       },
  36 |       "source": [
  37 |         "Importing the Dependencies"
  38 |       ]
  39 |     },
  40 |     {
  41 |       "cell_type": "code",
  42 |       "metadata": {
  43 |         "id": "FK6vtiaB8T51"
  44 |       },
  45 |       "source": [
  46 |         "import numpy as np\n",
  47 |         "import pandas as pd\n",
  48 |         "from sklearn.model_selection import train_test_split\n",
  49 |         "from sklearn.linear_model import LogisticRegression\n",
  50 |         "from sklearn.metrics import accuracy_score"
  51 |       ],
  52 |       "execution_count": 1,
  53 |       "outputs": []
  54 |     },
  55 |     {
  56 |       "cell_type": "code",
  57 |       "metadata": {
  58 |         "id": "L44gD2PlCptM"
  59 |       },
  60 |       "source": [
  61 |         "#loading the dataset to a Pandas DataFrame\n",
  62 |         "credit_card_data = pd.read_csv('/content/creditcard.csv')"
  63 |       ],
  64 |       "execution_count": 2,
  65 |       "outputs": []
  66 |     },
  67 |     {
  68 |       "cell_type": "code",
  69 |       "metadata": {
  70 |         "colab": {
  71 |           "base_uri": "https://localhost:8080/",
  72 |           "height": 223
  73 |         },
  74 |         "id": "hRrcaIP6Cv_0",
  75 |         "outputId": "5265fc7b-abf6-4c24-a66e-a896acb997a6"
  76 |       },
  77 |       "source": [
  78 |         "credit_card_data.head()"
  79 |       ],
  80 |       "execution_count": 3,
  81 |       "outputs": [
  82 |         {
  83 |           "output_type": "execute_result",
  84 |           "data": {
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 104 |               "      <th>Time</th>\n",
 105 |               "      <th>V1</th>\n",
 106 |               "      <th>V2</th>\n",
 107 |               "      <th>V3</th>\n",
 108 |               "      <th>V4</th>\n",
 109 |               "      <th>V5</th>\n",
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 130 |               "      <th>V26</th>\n",
 131 |               "      <th>V27</th>\n",
 132 |               "      <th>V28</th>\n",
 133 |               "      <th>Amount</th>\n",
 134 |               "      <th>Class</th>\n",
 135 |               "    </tr>\n",
 136 |               "  </thead>\n",
 137 |               "  <tbody>\n",
 138 |               "    <tr>\n",
 139 |               "      <th>0</th>\n",
 140 |               "      <td>0.0</td>\n",
 141 |               "      <td>-1.359807</td>\n",
 142 |               "      <td>-0.072781</td>\n",
 143 |               "      <td>2.536347</td>\n",
 144 |               "      <td>1.378155</td>\n",
 145 |               "      <td>-0.338321</td>\n",
 146 |               "      <td>0.462388</td>\n",
 147 |               "      <td>0.239599</td>\n",
 148 |               "      <td>0.098698</td>\n",
 149 |               "      <td>0.363787</td>\n",
 150 |               "      <td>0.090794</td>\n",
 151 |               "      <td>-0.551600</td>\n",
 152 |               "      <td>-0.617801</td>\n",
 153 |               "      <td>-0.991390</td>\n",
 154 |               "      <td>-0.311169</td>\n",
 155 |               "      <td>1.468177</td>\n",
 156 |               "      <td>-0.470401</td>\n",
 157 |               "      <td>0.207971</td>\n",
 158 |               "      <td>0.025791</td>\n",
 159 |               "      <td>0.403993</td>\n",
 160 |               "      <td>0.251412</td>\n",
 161 |               "      <td>-0.018307</td>\n",
 162 |               "      <td>0.277838</td>\n",
 163 |               "      <td>-0.110474</td>\n",
 164 |               "      <td>0.066928</td>\n",
 165 |               "      <td>0.128539</td>\n",
 166 |               "      <td>-0.189115</td>\n",
 167 |               "      <td>0.133558</td>\n",
 168 |               "      <td>-0.021053</td>\n",
 169 |               "      <td>149.62</td>\n",
 170 |               "      <td>0</td>\n",
 171 |               "    </tr>\n",
 172 |               "    <tr>\n",
 173 |               "      <th>1</th>\n",
 174 |               "      <td>0.0</td>\n",
 175 |               "      <td>1.191857</td>\n",
 176 |               "      <td>0.266151</td>\n",
 177 |               "      <td>0.166480</td>\n",
 178 |               "      <td>0.448154</td>\n",
 179 |               "      <td>0.060018</td>\n",
 180 |               "      <td>-0.082361</td>\n",
 181 |               "      <td>-0.078803</td>\n",
 182 |               "      <td>0.085102</td>\n",
 183 |               "      <td>-0.255425</td>\n",
 184 |               "      <td>-0.166974</td>\n",
 185 |               "      <td>1.612727</td>\n",
 186 |               "      <td>1.065235</td>\n",
 187 |               "      <td>0.489095</td>\n",
 188 |               "      <td>-0.143772</td>\n",
 189 |               "      <td>0.635558</td>\n",
 190 |               "      <td>0.463917</td>\n",
 191 |               "      <td>-0.114805</td>\n",
 192 |               "      <td>-0.183361</td>\n",
 193 |               "      <td>-0.145783</td>\n",
 194 |               "      <td>-0.069083</td>\n",
 195 |               "      <td>-0.225775</td>\n",
 196 |               "      <td>-0.638672</td>\n",
 197 |               "      <td>0.101288</td>\n",
 198 |               "      <td>-0.339846</td>\n",
 199 |               "      <td>0.167170</td>\n",
 200 |               "      <td>0.125895</td>\n",
 201 |               "      <td>-0.008983</td>\n",
 202 |               "      <td>0.014724</td>\n",
 203 |               "      <td>2.69</td>\n",
 204 |               "      <td>0</td>\n",
 205 |               "    </tr>\n",
 206 |               "    <tr>\n",
 207 |               "      <th>2</th>\n",
 208 |               "      <td>1.0</td>\n",
 209 |               "      <td>-1.358354</td>\n",
 210 |               "      <td>-1.340163</td>\n",
 211 |               "      <td>1.773209</td>\n",
 212 |               "      <td>0.379780</td>\n",
 213 |               "      <td>-0.503198</td>\n",
 214 |               "      <td>1.800499</td>\n",
 215 |               "      <td>0.791461</td>\n",
 216 |               "      <td>0.247676</td>\n",
 217 |               "      <td>-1.514654</td>\n",
 218 |               "      <td>0.207643</td>\n",
 219 |               "      <td>0.624501</td>\n",
 220 |               "      <td>0.066084</td>\n",
 221 |               "      <td>0.717293</td>\n",
 222 |               "      <td>-0.165946</td>\n",
 223 |               "      <td>2.345865</td>\n",
 224 |               "      <td>-2.890083</td>\n",
 225 |               "      <td>1.109969</td>\n",
 226 |               "      <td>-0.121359</td>\n",
 227 |               "      <td>-2.261857</td>\n",
 228 |               "      <td>0.524980</td>\n",
 229 |               "      <td>0.247998</td>\n",
 230 |               "      <td>0.771679</td>\n",
 231 |               "      <td>0.909412</td>\n",
 232 |               "      <td>-0.689281</td>\n",
 233 |               "      <td>-0.327642</td>\n",
 234 |               "      <td>-0.139097</td>\n",
 235 |               "      <td>-0.055353</td>\n",
 236 |               "      <td>-0.059752</td>\n",
 237 |               "      <td>378.66</td>\n",
 238 |               "      <td>0</td>\n",
 239 |               "    </tr>\n",
 240 |               "    <tr>\n",
 241 |               "      <th>3</th>\n",
 242 |               "      <td>1.0</td>\n",
 243 |               "      <td>-0.966272</td>\n",
 244 |               "      <td>-0.185226</td>\n",
 245 |               "      <td>1.792993</td>\n",
 246 |               "      <td>-0.863291</td>\n",
 247 |               "      <td>-0.010309</td>\n",
 248 |               "      <td>1.247203</td>\n",
 249 |               "      <td>0.237609</td>\n",
 250 |               "      <td>0.377436</td>\n",
 251 |               "      <td>-1.387024</td>\n",
 252 |               "      <td>-0.054952</td>\n",
 253 |               "      <td>-0.226487</td>\n",
 254 |               "      <td>0.178228</td>\n",
 255 |               "      <td>0.507757</td>\n",
 256 |               "      <td>-0.287924</td>\n",
 257 |               "      <td>-0.631418</td>\n",
 258 |               "      <td>-1.059647</td>\n",
 259 |               "      <td>-0.684093</td>\n",
 260 |               "      <td>1.965775</td>\n",
 261 |               "      <td>-1.232622</td>\n",
 262 |               "      <td>-0.208038</td>\n",
 263 |               "      <td>-0.108300</td>\n",
 264 |               "      <td>0.005274</td>\n",
 265 |               "      <td>-0.190321</td>\n",
 266 |               "      <td>-1.175575</td>\n",
 267 |               "      <td>0.647376</td>\n",
 268 |               "      <td>-0.221929</td>\n",
 269 |               "      <td>0.062723</td>\n",
 270 |               "      <td>0.061458</td>\n",
 271 |               "      <td>123.50</td>\n",
 272 |               "      <td>0</td>\n",
 273 |               "    </tr>\n",
 274 |               "    <tr>\n",
 275 |               "      <th>4</th>\n",
 276 |               "      <td>2.0</td>\n",
 277 |               "      <td>-1.158233</td>\n",
 278 |               "      <td>0.877737</td>\n",
 279 |               "      <td>1.548718</td>\n",
 280 |               "      <td>0.403034</td>\n",
 281 |               "      <td>-0.407193</td>\n",
 282 |               "      <td>0.095921</td>\n",
 283 |               "      <td>0.592941</td>\n",
 284 |               "      <td>-0.270533</td>\n",
 285 |               "      <td>0.817739</td>\n",
 286 |               "      <td>0.753074</td>\n",
 287 |               "      <td>-0.822843</td>\n",
 288 |               "      <td>0.538196</td>\n",
 289 |               "      <td>1.345852</td>\n",
 290 |               "      <td>-1.119670</td>\n",
 291 |               "      <td>0.175121</td>\n",
 292 |               "      <td>-0.451449</td>\n",
 293 |               "      <td>-0.237033</td>\n",
 294 |               "      <td>-0.038195</td>\n",
 295 |               "      <td>0.803487</td>\n",
 296 |               "      <td>0.408542</td>\n",
 297 |               "      <td>-0.009431</td>\n",
 298 |               "      <td>0.798278</td>\n",
 299 |               "      <td>-0.137458</td>\n",
 300 |               "      <td>0.141267</td>\n",
 301 |               "      <td>-0.206010</td>\n",
 302 |               "      <td>0.502292</td>\n",
 303 |               "      <td>0.219422</td>\n",
 304 |               "      <td>0.215153</td>\n",
 305 |               "      <td>69.99</td>\n",
 306 |               "      <td>0</td>\n",
 307 |               "    </tr>\n",
 308 |               "  </tbody>\n",
 309 |               "</table>\n",
 310 |               "</div>"
 311 |             ],
 312 |             "text/plain": [
 313 |               "   Time        V1        V2        V3  ...       V27       V28  Amount  Class\n",
 314 |               "0   0.0 -1.359807 -0.072781  2.536347  ...  0.133558 -0.021053  149.62      0\n",
 315 |               "1   0.0  1.191857  0.266151  0.166480  ... -0.008983  0.014724    2.69      0\n",
 316 |               "2   1.0 -1.358354 -1.340163  1.773209  ... -0.055353 -0.059752  378.66      0\n",
 317 |               "3   1.0 -0.966272 -0.185226  1.792993  ...  0.062723  0.061458  123.50      0\n",
 318 |               "4   2.0 -1.158233  0.877737  1.548718  ...  0.219422  0.215153   69.99      0\n",
 319 |               "\n",
 320 |               "[5 rows x 31 columns]"
 321 |             ]
 322 |           },
 323 |           "metadata": {
 324 |             "tags": []
 325 |           },
 326 |           "execution_count": 3
 327 |         }
 328 |       ]
 329 |     },
 330 |     {
 331 |       "cell_type": "code",
 332 |       "metadata": {
 333 |         "colab": {
 334 |           "base_uri": "https://localhost:8080/",
 335 |           "height": 223
 336 |         },
 337 |         "id": "0MaBF9kuCyk7",
 338 |         "outputId": "4bd74368-a078-4f14-db36-57d3e4d3a524"
 339 |       },
 340 |       "source": [
 341 |         "credit_card_data.tail()"
 342 |       ],
 343 |       "execution_count": 4,
 344 |       "outputs": [
 345 |         {
 346 |           "output_type": "execute_result",
 347 |           "data": {
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 393 |               "      <th>V26</th>\n",
 394 |               "      <th>V27</th>\n",
 395 |               "      <th>V28</th>\n",
 396 |               "      <th>Amount</th>\n",
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 443 |               "      <td>1.058415</td>\n",
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 479 |               "      <td>0.708417</td>\n",
 480 |               "      <td>0.432454</td>\n",
 481 |               "      <td>-0.484782</td>\n",
 482 |               "      <td>0.411614</td>\n",
 483 |               "      <td>0.063119</td>\n",
 484 |               "      <td>-0.183699</td>\n",
 485 |               "      <td>-0.510602</td>\n",
 486 |               "      <td>1.329284</td>\n",
 487 |               "      <td>0.140716</td>\n",
 488 |               "      <td>0.313502</td>\n",
 489 |               "      <td>0.395652</td>\n",
 490 |               "      <td>-0.577252</td>\n",
 491 |               "      <td>0.001396</td>\n",
 492 |               "      <td>0.232045</td>\n",
 493 |               "      <td>0.578229</td>\n",
 494 |               "      <td>-0.037501</td>\n",
 495 |               "      <td>0.640134</td>\n",
 496 |               "      <td>0.265745</td>\n",
 497 |               "      <td>-0.087371</td>\n",
 498 |               "      <td>0.004455</td>\n",
 499 |               "      <td>-0.026561</td>\n",
 500 |               "      <td>67.88</td>\n",
 501 |               "      <td>0</td>\n",
 502 |               "    </tr>\n",
 503 |               "    <tr>\n",
 504 |               "      <th>284805</th>\n",
 505 |               "      <td>172788.0</td>\n",
 506 |               "      <td>-0.240440</td>\n",
 507 |               "      <td>0.530483</td>\n",
 508 |               "      <td>0.702510</td>\n",
 509 |               "      <td>0.689799</td>\n",
 510 |               "      <td>-0.377961</td>\n",
 511 |               "      <td>0.623708</td>\n",
 512 |               "      <td>-0.686180</td>\n",
 513 |               "      <td>0.679145</td>\n",
 514 |               "      <td>0.392087</td>\n",
 515 |               "      <td>-0.399126</td>\n",
 516 |               "      <td>-1.933849</td>\n",
 517 |               "      <td>-0.962886</td>\n",
 518 |               "      <td>-1.042082</td>\n",
 519 |               "      <td>0.449624</td>\n",
 520 |               "      <td>1.962563</td>\n",
 521 |               "      <td>-0.608577</td>\n",
 522 |               "      <td>0.509928</td>\n",
 523 |               "      <td>1.113981</td>\n",
 524 |               "      <td>2.897849</td>\n",
 525 |               "      <td>0.127434</td>\n",
 526 |               "      <td>0.265245</td>\n",
 527 |               "      <td>0.800049</td>\n",
 528 |               "      <td>-0.163298</td>\n",
 529 |               "      <td>0.123205</td>\n",
 530 |               "      <td>-0.569159</td>\n",
 531 |               "      <td>0.546668</td>\n",
 532 |               "      <td>0.108821</td>\n",
 533 |               "      <td>0.104533</td>\n",
 534 |               "      <td>10.00</td>\n",
 535 |               "      <td>0</td>\n",
 536 |               "    </tr>\n",
 537 |               "    <tr>\n",
 538 |               "      <th>284806</th>\n",
 539 |               "      <td>172792.0</td>\n",
 540 |               "      <td>-0.533413</td>\n",
 541 |               "      <td>-0.189733</td>\n",
 542 |               "      <td>0.703337</td>\n",
 543 |               "      <td>-0.506271</td>\n",
 544 |               "      <td>-0.012546</td>\n",
 545 |               "      <td>-0.649617</td>\n",
 546 |               "      <td>1.577006</td>\n",
 547 |               "      <td>-0.414650</td>\n",
 548 |               "      <td>0.486180</td>\n",
 549 |               "      <td>-0.915427</td>\n",
 550 |               "      <td>-1.040458</td>\n",
 551 |               "      <td>-0.031513</td>\n",
 552 |               "      <td>-0.188093</td>\n",
 553 |               "      <td>-0.084316</td>\n",
 554 |               "      <td>0.041333</td>\n",
 555 |               "      <td>-0.302620</td>\n",
 556 |               "      <td>-0.660377</td>\n",
 557 |               "      <td>0.167430</td>\n",
 558 |               "      <td>-0.256117</td>\n",
 559 |               "      <td>0.382948</td>\n",
 560 |               "      <td>0.261057</td>\n",
 561 |               "      <td>0.643078</td>\n",
 562 |               "      <td>0.376777</td>\n",
 563 |               "      <td>0.008797</td>\n",
 564 |               "      <td>-0.473649</td>\n",
 565 |               "      <td>-0.818267</td>\n",
 566 |               "      <td>-0.002415</td>\n",
 567 |               "      <td>0.013649</td>\n",
 568 |               "      <td>217.00</td>\n",
 569 |               "      <td>0</td>\n",
 570 |               "    </tr>\n",
 571 |               "  </tbody>\n",
 572 |               "</table>\n",
 573 |               "</div>"
 574 |             ],
 575 |             "text/plain": [
 576 |               "            Time         V1         V2  ...       V28  Amount  Class\n",
 577 |               "284802  172786.0 -11.881118  10.071785  ...  0.823731    0.77      0\n",
 578 |               "284803  172787.0  -0.732789  -0.055080  ... -0.053527   24.79      0\n",
 579 |               "284804  172788.0   1.919565  -0.301254  ... -0.026561   67.88      0\n",
 580 |               "284805  172788.0  -0.240440   0.530483  ...  0.104533   10.00      0\n",
 581 |               "284806  172792.0  -0.533413  -0.189733  ...  0.013649  217.00      0\n",
 582 |               "\n",
 583 |               "[5 rows x 31 columns]"
 584 |             ]
 585 |           },
 586 |           "metadata": {
 587 |             "tags": []
 588 |           },
 589 |           "execution_count": 4
 590 |         }
 591 |       ]
 592 |     },
 593 |     {
 594 |       "cell_type": "code",
 595 |       "metadata": {
 596 |         "colab": {
 597 |           "base_uri": "https://localhost:8080/"
 598 |         },
 599 |         "id": "H7bD0daoC0Jl",
 600 |         "outputId": "7546f901-1fb8-4f3f-c095-f64e096f1296"
 601 |       },
 602 |       "source": [
 603 |         "credit_card_data.info()"
 604 |       ],
 605 |       "execution_count": 5,
 606 |       "outputs": [
 607 |         {
 608 |           "output_type": "stream",
 609 |           "text": [
 610 |             "<class 'pandas.core.frame.DataFrame'>\n",
 611 |             "RangeIndex: 284807 entries, 0 to 284806\n",
 612 |             "Data columns (total 31 columns):\n",
 613 |             " #   Column  Non-Null Count   Dtype  \n",
 614 |             "---  ------  --------------   -----  \n",
 615 |             " 0   Time    284807 non-null  float64\n",
 616 |             " 1   V1      284807 non-null  float64\n",
 617 |             " 2   V2      284807 non-null  float64\n",
 618 |             " 3   V3      284807 non-null  float64\n",
 619 |             " 4   V4      284807 non-null  float64\n",
 620 |             " 5   V5      284807 non-null  float64\n",
 621 |             " 6   V6      284807 non-null  float64\n",
 622 |             " 7   V7      284807 non-null  float64\n",
 623 |             " 8   V8      284807 non-null  float64\n",
 624 |             " 9   V9      284807 non-null  float64\n",
 625 |             " 10  V10     284807 non-null  float64\n",
 626 |             " 11  V11     284807 non-null  float64\n",
 627 |             " 12  V12     284807 non-null  float64\n",
 628 |             " 13  V13     284807 non-null  float64\n",
 629 |             " 14  V14     284807 non-null  float64\n",
 630 |             " 15  V15     284807 non-null  float64\n",
 631 |             " 16  V16     284807 non-null  float64\n",
 632 |             " 17  V17     284807 non-null  float64\n",
 633 |             " 18  V18     284807 non-null  float64\n",
 634 |             " 19  V19     284807 non-null  float64\n",
 635 |             " 20  V20     284807 non-null  float64\n",
 636 |             " 21  V21     284807 non-null  float64\n",
 637 |             " 22  V22     284807 non-null  float64\n",
 638 |             " 23  V23     284807 non-null  float64\n",
 639 |             " 24  V24     284807 non-null  float64\n",
 640 |             " 25  V25     284807 non-null  float64\n",
 641 |             " 26  V26     284807 non-null  float64\n",
 642 |             " 27  V27     284807 non-null  float64\n",
 643 |             " 28  V28     284807 non-null  float64\n",
 644 |             " 29  Amount  284807 non-null  float64\n",
 645 |             " 30  Class   284807 non-null  int64  \n",
 646 |             "dtypes: float64(30), int64(1)\n",
 647 |             "memory usage: 67.4 MB\n"
 648 |           ],
 649 |           "name": "stdout"
 650 |         }
 651 |       ]
 652 |     },
 653 |     {
 654 |       "cell_type": "code",
 655 |       "metadata": {
 656 |         "colab": {
 657 |           "base_uri": "https://localhost:8080/"
 658 |         },
 659 |         "id": "O57rEj5DC1uD",
 660 |         "outputId": "aff23b2f-6bb3-40dd-b029-709a44f0204a"
 661 |       },
 662 |       "source": [
 663 |         "#checking the number of missing values in each column\n",
 664 |         "credit_card_data.isnull().sum()"
 665 |       ],
 666 |       "execution_count": 6,
 667 |       "outputs": [
 668 |         {
 669 |           "output_type": "execute_result",
 670 |           "data": {
 671 |             "text/plain": [
 672 |               "Time      0\n",
 673 |               "V1        0\n",
 674 |               "V2        0\n",
 675 |               "V3        0\n",
 676 |               "V4        0\n",
 677 |               "V5        0\n",
 678 |               "V6        0\n",
 679 |               "V7        0\n",
 680 |               "V8        0\n",
 681 |               "V9        0\n",
 682 |               "V10       0\n",
 683 |               "V11       0\n",
 684 |               "V12       0\n",
 685 |               "V13       0\n",
 686 |               "V14       0\n",
 687 |               "V15       0\n",
 688 |               "V16       0\n",
 689 |               "V17       0\n",
 690 |               "V18       0\n",
 691 |               "V19       0\n",
 692 |               "V20       0\n",
 693 |               "V21       0\n",
 694 |               "V22       0\n",
 695 |               "V23       0\n",
 696 |               "V24       0\n",
 697 |               "V25       0\n",
 698 |               "V26       0\n",
 699 |               "V27       0\n",
 700 |               "V28       0\n",
 701 |               "Amount    0\n",
 702 |               "Class     0\n",
 703 |               "dtype: int64"
 704 |             ]
 705 |           },
 706 |           "metadata": {
 707 |             "tags": []
 708 |           },
 709 |           "execution_count": 6
 710 |         }
 711 |       ]
 712 |     },
 713 |     {
 714 |       "cell_type": "code",
 715 |       "metadata": {
 716 |         "colab": {
 717 |           "base_uri": "https://localhost:8080/"
 718 |         },
 719 |         "id": "kHZ3xqtwC5Eo",
 720 |         "outputId": "3a427f5e-3f25-4005-de8d-28bc58f51a55"
 721 |       },
 722 |       "source": [
 723 |         "#distribution of legit transactions & fraudulent transactions\n",
 724 |         "credit_card_data['Class'].value_counts()"
 725 |       ],
 726 |       "execution_count": 7,
 727 |       "outputs": [
 728 |         {
 729 |           "output_type": "execute_result",
 730 |           "data": {
 731 |             "text/plain": [
 732 |               "0    284315\n",
 733 |               "1       492\n",
 734 |               "Name: Class, dtype: int64"
 735 |             ]
 736 |           },
 737 |           "metadata": {
 738 |             "tags": []
 739 |           },
 740 |           "execution_count": 7
 741 |         }
 742 |       ]
 743 |     },
 744 |     {
 745 |       "cell_type": "markdown",
 746 |       "metadata": {
 747 |         "id": "SIYpCTxxC_u7"
 748 |       },
 749 |       "source": [
 750 |         "This Dataset is Highly Unbalanced\n",
 751 |         "\n",
 752 |         "0 --> Normal Transaction\n",
 753 |         "1 --> Fraudulent Transaction"
 754 |       ]
 755 |     },
 756 |     {
 757 |       "cell_type": "code",
 758 |       "metadata": {
 759 |         "id": "QfADx3mdC8c1"
 760 |       },
 761 |       "source": [
 762 |         "#separating the data for analysis\n",
 763 |         "legit = credit_card_data[credit_card_data.Class == 0]\n",
 764 |         "fraud = credit_card_data[credit_card_data.Class == 1]"
 765 |       ],
 766 |       "execution_count": 8,
 767 |       "outputs": []
 768 |     },
 769 |     {
 770 |       "cell_type": "code",
 771 |       "metadata": {
 772 |         "colab": {
 773 |           "base_uri": "https://localhost:8080/"
 774 |         },
 775 |         "id": "OAYzlLtHDKoy",
 776 |         "outputId": "7fa72ac0-b00d-45a8-fbcf-3540052b05d1"
 777 |       },
 778 |       "source": [
 779 |         "print(legit.shape)\n",
 780 |         "print(fraud.shape)"
 781 |       ],
 782 |       "execution_count": 9,
 783 |       "outputs": [
 784 |         {
 785 |           "output_type": "stream",
 786 |           "text": [
 787 |             "(284315, 31)\n",
 788 |             "(492, 31)\n"
 789 |           ],
 790 |           "name": "stdout"
 791 |         }
 792 |       ]
 793 |     },
 794 |     {
 795 |       "cell_type": "code",
 796 |       "metadata": {
 797 |         "colab": {
 798 |           "base_uri": "https://localhost:8080/"
 799 |         },
 800 |         "id": "cir6ALxkDMIa",
 801 |         "outputId": "9bedb752-8856-4218-d997-798382491c25"
 802 |       },
 803 |       "source": [
 804 |         "#statistical measures of the data\n",
 805 |         "legit.Amount.describe()"
 806 |       ],
 807 |       "execution_count": 10,
 808 |       "outputs": [
 809 |         {
 810 |           "output_type": "execute_result",
 811 |           "data": {
 812 |             "text/plain": [
 813 |               "count    284315.000000\n",
 814 |               "mean         88.291022\n",
 815 |               "std         250.105092\n",
 816 |               "min           0.000000\n",
 817 |               "25%           5.650000\n",
 818 |               "50%          22.000000\n",
 819 |               "75%          77.050000\n",
 820 |               "max       25691.160000\n",
 821 |               "Name: Amount, dtype: float64"
 822 |             ]
 823 |           },
 824 |           "metadata": {
 825 |             "tags": []
 826 |           },
 827 |           "execution_count": 10
 828 |         }
 829 |       ]
 830 |     },
 831 |     {
 832 |       "cell_type": "code",
 833 |       "metadata": {
 834 |         "colab": {
 835 |           "base_uri": "https://localhost:8080/"
 836 |         },
 837 |         "id": "rs1vrV2-DOor",
 838 |         "outputId": "3f029505-fd95-42ac-ec57-42e6a9b1093d"
 839 |       },
 840 |       "source": [
 841 |         "fraud.Amount.describe()"
 842 |       ],
 843 |       "execution_count": 11,
 844 |       "outputs": [
 845 |         {
 846 |           "output_type": "execute_result",
 847 |           "data": {
 848 |             "text/plain": [
 849 |               "count     492.000000\n",
 850 |               "mean      122.211321\n",
 851 |               "std       256.683288\n",
 852 |               "min         0.000000\n",
 853 |               "25%         1.000000\n",
 854 |               "50%         9.250000\n",
 855 |               "75%       105.890000\n",
 856 |               "max      2125.870000\n",
 857 |               "Name: Amount, dtype: float64"
 858 |             ]
 859 |           },
 860 |           "metadata": {
 861 |             "tags": []
 862 |           },
 863 |           "execution_count": 11
 864 |         }
 865 |       ]
 866 |     },
 867 |     {
 868 |       "cell_type": "code",
 869 |       "metadata": {
 870 |         "colab": {
 871 |           "base_uri": "https://localhost:8080/",
 872 |           "height": 162
 873 |         },
 874 |         "id": "xQP2XYh-DQYc",
 875 |         "outputId": "bcc5d05b-001d-40e8-ad80-82b4a1630988"
 876 |       },
 877 |       "source": [
 878 |         "#compare the values for both transactions\n",
 879 |         "credit_card_data.groupby('Class').mean()"
 880 |       ],
 881 |       "execution_count": 12,
 882 |       "outputs": [
 883 |         {
 884 |           "output_type": "execute_result",
 885 |           "data": {
 886 |             "text/html": [
 887 |               "<div>\n",
 888 |               "<style scoped>\n",
 889 |               "    .dataframe tbody tr th:only-of-type {\n",
 890 |               "        vertical-align: middle;\n",
 891 |               "    }\n",
 892 |               "\n",
 893 |               "    .dataframe tbody tr th {\n",
 894 |               "        vertical-align: top;\n",
 895 |               "    }\n",
 896 |               "\n",
 897 |               "    .dataframe thead th {\n",
 898 |               "        text-align: right;\n",
 899 |               "    }\n",
 900 |               "</style>\n",
 901 |               "<table border=\"1\" class=\"dataframe\">\n",
 902 |               "  <thead>\n",
 903 |               "    <tr style=\"text-align: right;\">\n",
 904 |               "      <th></th>\n",
 905 |               "      <th>Time</th>\n",
 906 |               "      <th>V1</th>\n",
 907 |               "      <th>V2</th>\n",
 908 |               "      <th>V3</th>\n",
 909 |               "      <th>V4</th>\n",
 910 |               "      <th>V5</th>\n",
 911 |               "      <th>V6</th>\n",
 912 |               "      <th>V7</th>\n",
 913 |               "      <th>V8</th>\n",
 914 |               "      <th>V9</th>\n",
 915 |               "      <th>V10</th>\n",
 916 |               "      <th>V11</th>\n",
 917 |               "      <th>V12</th>\n",
 918 |               "      <th>V13</th>\n",
 919 |               "      <th>V14</th>\n",
 920 |               "      <th>V15</th>\n",
 921 |               "      <th>V16</th>\n",
 922 |               "      <th>V17</th>\n",
 923 |               "      <th>V18</th>\n",
 924 |               "      <th>V19</th>\n",
 925 |               "      <th>V20</th>\n",
 926 |               "      <th>V21</th>\n",
 927 |               "      <th>V22</th>\n",
 928 |               "      <th>V23</th>\n",
 929 |               "      <th>V24</th>\n",
 930 |               "      <th>V25</th>\n",
 931 |               "      <th>V26</th>\n",
 932 |               "      <th>V27</th>\n",
 933 |               "      <th>V28</th>\n",
 934 |               "      <th>Amount</th>\n",
 935 |               "    </tr>\n",
 936 |               "    <tr>\n",
 937 |               "      <th>Class</th>\n",
 938 |               "      <th></th>\n",
 939 |               "      <th></th>\n",
 940 |               "      <th></th>\n",
 941 |               "      <th></th>\n",
 942 |               "      <th></th>\n",
 943 |               "      <th></th>\n",
 944 |               "      <th></th>\n",
 945 |               "      <th></th>\n",
 946 |               "      <th></th>\n",
 947 |               "      <th></th>\n",
 948 |               "      <th></th>\n",
 949 |               "      <th></th>\n",
 950 |               "      <th></th>\n",
 951 |               "      <th></th>\n",
 952 |               "      <th></th>\n",
 953 |               "      <th></th>\n",
 954 |               "      <th></th>\n",
 955 |               "      <th></th>\n",
 956 |               "      <th></th>\n",
 957 |               "      <th></th>\n",
 958 |               "      <th></th>\n",
 959 |               "      <th></th>\n",
 960 |               "      <th></th>\n",
 961 |               "      <th></th>\n",
 962 |               "      <th></th>\n",
 963 |               "      <th></th>\n",
 964 |               "      <th></th>\n",
 965 |               "      <th></th>\n",
 966 |               "      <th></th>\n",
 967 |               "      <th></th>\n",
 968 |               "    </tr>\n",
 969 |               "  </thead>\n",
 970 |               "  <tbody>\n",
 971 |               "    <tr>\n",
 972 |               "      <th>0</th>\n",
 973 |               "      <td>94838.202258</td>\n",
 974 |               "      <td>0.008258</td>\n",
 975 |               "      <td>-0.006271</td>\n",
 976 |               "      <td>0.012171</td>\n",
 977 |               "      <td>-0.007860</td>\n",
 978 |               "      <td>0.005453</td>\n",
 979 |               "      <td>0.002419</td>\n",
 980 |               "      <td>0.009637</td>\n",
 981 |               "      <td>-0.000987</td>\n",
 982 |               "      <td>0.004467</td>\n",
 983 |               "      <td>0.009824</td>\n",
 984 |               "      <td>-0.006576</td>\n",
 985 |               "      <td>0.010832</td>\n",
 986 |               "      <td>0.000189</td>\n",
 987 |               "      <td>0.012064</td>\n",
 988 |               "      <td>0.000161</td>\n",
 989 |               "      <td>0.007164</td>\n",
 990 |               "      <td>0.011535</td>\n",
 991 |               "      <td>0.003887</td>\n",
 992 |               "      <td>-0.001178</td>\n",
 993 |               "      <td>-0.000644</td>\n",
 994 |               "      <td>-0.001235</td>\n",
 995 |               "      <td>-0.000024</td>\n",
 996 |               "      <td>0.000070</td>\n",
 997 |               "      <td>0.000182</td>\n",
 998 |               "      <td>-0.000072</td>\n",
 999 |               "      <td>-0.000089</td>\n",
1000 |               "      <td>-0.000295</td>\n",
1001 |               "      <td>-0.000131</td>\n",
1002 |               "      <td>88.291022</td>\n",
1003 |               "    </tr>\n",
1004 |               "    <tr>\n",
1005 |               "      <th>1</th>\n",
1006 |               "      <td>80746.806911</td>\n",
1007 |               "      <td>-4.771948</td>\n",
1008 |               "      <td>3.623778</td>\n",
1009 |               "      <td>-7.033281</td>\n",
1010 |               "      <td>4.542029</td>\n",
1011 |               "      <td>-3.151225</td>\n",
1012 |               "      <td>-1.397737</td>\n",
1013 |               "      <td>-5.568731</td>\n",
1014 |               "      <td>0.570636</td>\n",
1015 |               "      <td>-2.581123</td>\n",
1016 |               "      <td>-5.676883</td>\n",
1017 |               "      <td>3.800173</td>\n",
1018 |               "      <td>-6.259393</td>\n",
1019 |               "      <td>-0.109334</td>\n",
1020 |               "      <td>-6.971723</td>\n",
1021 |               "      <td>-0.092929</td>\n",
1022 |               "      <td>-4.139946</td>\n",
1023 |               "      <td>-6.665836</td>\n",
1024 |               "      <td>-2.246308</td>\n",
1025 |               "      <td>0.680659</td>\n",
1026 |               "      <td>0.372319</td>\n",
1027 |               "      <td>0.713588</td>\n",
1028 |               "      <td>0.014049</td>\n",
1029 |               "      <td>-0.040308</td>\n",
1030 |               "      <td>-0.105130</td>\n",
1031 |               "      <td>0.041449</td>\n",
1032 |               "      <td>0.051648</td>\n",
1033 |               "      <td>0.170575</td>\n",
1034 |               "      <td>0.075667</td>\n",
1035 |               "      <td>122.211321</td>\n",
1036 |               "    </tr>\n",
1037 |               "  </tbody>\n",
1038 |               "</table>\n",
1039 |               "</div>"
1040 |             ],
1041 |             "text/plain": [
1042 |               "               Time        V1        V2  ...       V27       V28      Amount\n",
1043 |               "Class                                    ...                                \n",
1044 |               "0      94838.202258  0.008258 -0.006271  ... -0.000295 -0.000131   88.291022\n",
1045 |               "1      80746.806911 -4.771948  3.623778  ...  0.170575  0.075667  122.211321\n",
1046 |               "\n",
1047 |               "[2 rows x 30 columns]"
1048 |             ]
1049 |           },
1050 |           "metadata": {
1051 |             "tags": []
1052 |           },
1053 |           "execution_count": 12
1054 |         }
1055 |       ]
1056 |     },
1057 |     {
1058 |       "cell_type": "markdown",
1059 |       "metadata": {
1060 |         "id": "TbUcihrEDVM0"
1061 |       },
1062 |       "source": [
1063 |         "Under-Sampling:\n",
1064 |         "\n",
1065 |         "Build a sample dataset containing similar distribution of Normal Transactions and Fraudulent Transactions"
1066 |       ]
1067 |     },
1068 |     {
1069 |       "cell_type": "markdown",
1070 |       "metadata": {
1071 |         "id": "0wqv0N1dDhTT"
1072 |       },
1073 |       "source": [
1074 |         "Number of Fraudulent Transactions --> 492"
1075 |       ]
1076 |     },
1077 |     {
1078 |       "cell_type": "code",
1079 |       "metadata": {
1080 |         "id": "kMhRAKtCDS94"
1081 |       },
1082 |       "source": [
1083 |         "legit_sample = legit.sample(n=492)"
1084 |       ],
1085 |       "execution_count": 13,
1086 |       "outputs": []
1087 |     },
1088 |     {
1089 |       "cell_type": "markdown",
1090 |       "metadata": {
1091 |         "id": "2zLLgbr_DlEs"
1092 |       },
1093 |       "source": [
1094 |         "Concatenating two DataFrames:"
1095 |       ]
1096 |     },
1097 |     {
1098 |       "cell_type": "code",
1099 |       "metadata": {
1100 |         "id": "YGi0YqQWDjch"
1101 |       },
1102 |       "source": [
1103 |         "new_dataset = pd.concat([legit_sample, fraud], axis=0)"
1104 |       ],
1105 |       "execution_count": 14,
1106 |       "outputs": []
1107 |     },
1108 |     {
1109 |       "cell_type": "code",
1110 |       "metadata": {
1111 |         "colab": {
1112 |           "base_uri": "https://localhost:8080/",
1113 |           "height": 223
1114 |         },
1115 |         "id": "Lr0VHCwBDqs9",
1116 |         "outputId": "6c2fb935-1570-4d04-8c57-dc62925ffa68"
1117 |       },
1118 |       "source": [
1119 |         "new_dataset.head()"
1120 |       ],
1121 |       "execution_count": 15,
1122 |       "outputs": [
1123 |         {
1124 |           "output_type": "execute_result",
1125 |           "data": {
1126 |             "text/html": [
1127 |               "<div>\n",
1128 |               "<style scoped>\n",
1129 |               "    .dataframe tbody tr th:only-of-type {\n",
1130 |               "        vertical-align: middle;\n",
1131 |               "    }\n",
1132 |               "\n",
1133 |               "    .dataframe tbody tr th {\n",
1134 |               "        vertical-align: top;\n",
1135 |               "    }\n",
1136 |               "\n",
1137 |               "    .dataframe thead th {\n",
1138 |               "        text-align: right;\n",
1139 |               "    }\n",
1140 |               "</style>\n",
1141 |               "<table border=\"1\" class=\"dataframe\">\n",
1142 |               "  <thead>\n",
1143 |               "    <tr style=\"text-align: right;\">\n",
1144 |               "      <th></th>\n",
1145 |               "      <th>Time</th>\n",
1146 |               "      <th>V1</th>\n",
1147 |               "      <th>V2</th>\n",
1148 |               "      <th>V3</th>\n",
1149 |               "      <th>V4</th>\n",
1150 |               "      <th>V5</th>\n",
1151 |               "      <th>V6</th>\n",
1152 |               "      <th>V7</th>\n",
1153 |               "      <th>V8</th>\n",
1154 |               "      <th>V9</th>\n",
1155 |               "      <th>V10</th>\n",
1156 |               "      <th>V11</th>\n",
1157 |               "      <th>V12</th>\n",
1158 |               "      <th>V13</th>\n",
1159 |               "      <th>V14</th>\n",
1160 |               "      <th>V15</th>\n",
1161 |               "      <th>V16</th>\n",
1162 |               "      <th>V17</th>\n",
1163 |               "      <th>V18</th>\n",
1164 |               "      <th>V19</th>\n",
1165 |               "      <th>V20</th>\n",
1166 |               "      <th>V21</th>\n",
1167 |               "      <th>V22</th>\n",
1168 |               "      <th>V23</th>\n",
1169 |               "      <th>V24</th>\n",
1170 |               "      <th>V25</th>\n",
1171 |               "      <th>V26</th>\n",
1172 |               "      <th>V27</th>\n",
1173 |               "      <th>V28</th>\n",
1174 |               "      <th>Amount</th>\n",
1175 |               "      <th>Class</th>\n",
1176 |               "    </tr>\n",
1177 |               "  </thead>\n",
1178 |               "  <tbody>\n",
1179 |               "    <tr>\n",
1180 |               "      <th>135283</th>\n",
1181 |               "      <td>81184.0</td>\n",
1182 |               "      <td>-1.692426</td>\n",
1183 |               "      <td>-1.426632</td>\n",
1184 |               "      <td>2.048187</td>\n",
1185 |               "      <td>-0.103634</td>\n",
1186 |               "      <td>0.598736</td>\n",
1187 |               "      <td>-1.825026</td>\n",
1188 |               "      <td>0.131808</td>\n",
1189 |               "      <td>-0.271939</td>\n",
1190 |               "      <td>-1.366525</td>\n",
1191 |               "      <td>0.321437</td>\n",
1192 |               "      <td>-0.314836</td>\n",
1193 |               "      <td>-0.277355</td>\n",
1194 |               "      <td>0.019219</td>\n",
1195 |               "      <td>-0.045576</td>\n",
1196 |               "      <td>0.312121</td>\n",
1197 |               "      <td>-1.389728</td>\n",
1198 |               "      <td>-0.362287</td>\n",
1199 |               "      <td>1.182754</td>\n",
1200 |               "      <td>-1.886769</td>\n",
1201 |               "      <td>0.172073</td>\n",
1202 |               "      <td>-0.165291</td>\n",
1203 |               "      <td>-0.585107</td>\n",
1204 |               "      <td>0.503270</td>\n",
1205 |               "      <td>0.826948</td>\n",
1206 |               "      <td>0.039087</td>\n",
1207 |               "      <td>-0.682189</td>\n",
1208 |               "      <td>-0.146479</td>\n",
1209 |               "      <td>-0.060679</td>\n",
1210 |               "      <td>139.89</td>\n",
1211 |               "      <td>0</td>\n",
1212 |               "    </tr>\n",
1213 |               "    <tr>\n",
1214 |               "      <th>51737</th>\n",
1215 |               "      <td>45096.0</td>\n",
1216 |               "      <td>1.254523</td>\n",
1217 |               "      <td>0.426688</td>\n",
1218 |               "      <td>-0.659489</td>\n",
1219 |               "      <td>0.744471</td>\n",
1220 |               "      <td>1.044157</td>\n",
1221 |               "      <td>0.434640</td>\n",
1222 |               "      <td>0.444509</td>\n",
1223 |               "      <td>-0.048640</td>\n",
1224 |               "      <td>-0.690491</td>\n",
1225 |               "      <td>0.187445</td>\n",
1226 |               "      <td>0.527436</td>\n",
1227 |               "      <td>1.137836</td>\n",
1228 |               "      <td>1.297485</td>\n",
1229 |               "      <td>0.475704</td>\n",
1230 |               "      <td>0.167112</td>\n",
1231 |               "      <td>0.072254</td>\n",
1232 |               "      <td>-0.859530</td>\n",
1233 |               "      <td>-0.028722</td>\n",
1234 |               "      <td>0.123554</td>\n",
1235 |               "      <td>-0.029020</td>\n",
1236 |               "      <td>0.014457</td>\n",
1237 |               "      <td>0.123478</td>\n",
1238 |               "      <td>-0.321232</td>\n",
1239 |               "      <td>-1.302410</td>\n",
1240 |               "      <td>0.958048</td>\n",
1241 |               "      <td>-0.188910</td>\n",
1242 |               "      <td>0.006375</td>\n",
1243 |               "      <td>-0.011336</td>\n",
1244 |               "      <td>16.44</td>\n",
1245 |               "      <td>0</td>\n",
1246 |               "    </tr>\n",
1247 |               "    <tr>\n",
1248 |               "      <th>207351</th>\n",
1249 |               "      <td>136634.0</td>\n",
1250 |               "      <td>1.578821</td>\n",
1251 |               "      <td>-1.037392</td>\n",
1252 |               "      <td>-0.700904</td>\n",
1253 |               "      <td>0.442737</td>\n",
1254 |               "      <td>-0.871919</td>\n",
1255 |               "      <td>-0.767364</td>\n",
1256 |               "      <td>-0.020586</td>\n",
1257 |               "      <td>-0.181463</td>\n",
1258 |               "      <td>1.334681</td>\n",
1259 |               "      <td>-0.364394</td>\n",
1260 |               "      <td>-0.915410</td>\n",
1261 |               "      <td>0.579226</td>\n",
1262 |               "      <td>-0.170789</td>\n",
1263 |               "      <td>0.004850</td>\n",
1264 |               "      <td>0.022921</td>\n",
1265 |               "      <td>-0.126676</td>\n",
1266 |               "      <td>-0.207565</td>\n",
1267 |               "      <td>-0.637480</td>\n",
1268 |               "      <td>0.289813</td>\n",
1269 |               "      <td>0.204680</td>\n",
1270 |               "      <td>-0.276729</td>\n",
1271 |               "      <td>-1.100509</td>\n",
1272 |               "      <td>0.257801</td>\n",
1273 |               "      <td>0.012313</td>\n",
1274 |               "      <td>-0.580246</td>\n",
1275 |               "      <td>-0.438032</td>\n",
1276 |               "      <td>-0.041466</td>\n",
1277 |               "      <td>-0.001984</td>\n",
1278 |               "      <td>225.96</td>\n",
1279 |               "      <td>0</td>\n",
1280 |               "    </tr>\n",
1281 |               "    <tr>\n",
1282 |               "      <th>104157</th>\n",
1283 |               "      <td>68934.0</td>\n",
1284 |               "      <td>-0.723808</td>\n",
1285 |               "      <td>1.277781</td>\n",
1286 |               "      <td>0.907896</td>\n",
1287 |               "      <td>0.123921</td>\n",
1288 |               "      <td>-0.311881</td>\n",
1289 |               "      <td>-1.065993</td>\n",
1290 |               "      <td>0.308144</td>\n",
1291 |               "      <td>0.387264</td>\n",
1292 |               "      <td>-0.478737</td>\n",
1293 |               "      <td>-0.721150</td>\n",
1294 |               "      <td>-0.457502</td>\n",
1295 |               "      <td>-0.209393</td>\n",
1296 |               "      <td>-0.364916</td>\n",
1297 |               "      <td>-0.001098</td>\n",
1298 |               "      <td>0.917757</td>\n",
1299 |               "      <td>0.532673</td>\n",
1300 |               "      <td>0.207107</td>\n",
1301 |               "      <td>-0.028286</td>\n",
1302 |               "      <td>-0.092203</td>\n",
1303 |               "      <td>-0.004759</td>\n",
1304 |               "      <td>-0.220555</td>\n",
1305 |               "      <td>-0.751067</td>\n",
1306 |               "      <td>0.058320</td>\n",
1307 |               "      <td>0.312616</td>\n",
1308 |               "      <td>-0.152713</td>\n",
1309 |               "      <td>0.075810</td>\n",
1310 |               "      <td>0.115830</td>\n",
1311 |               "      <td>0.026851</td>\n",
1312 |               "      <td>8.99</td>\n",
1313 |               "      <td>0</td>\n",
1314 |               "    </tr>\n",
1315 |               "    <tr>\n",
1316 |               "      <th>180887</th>\n",
1317 |               "      <td>124736.0</td>\n",
1318 |               "      <td>0.990966</td>\n",
1319 |               "      <td>-2.717490</td>\n",
1320 |               "      <td>-3.215571</td>\n",
1321 |               "      <td>-0.290394</td>\n",
1322 |               "      <td>-0.665947</td>\n",
1323 |               "      <td>-1.638020</td>\n",
1324 |               "      <td>1.248703</td>\n",
1325 |               "      <td>-0.755283</td>\n",
1326 |               "      <td>-0.826472</td>\n",
1327 |               "      <td>0.680349</td>\n",
1328 |               "      <td>-1.059235</td>\n",
1329 |               "      <td>-1.720531</td>\n",
1330 |               "      <td>-1.996273</td>\n",
1331 |               "      <td>0.994732</td>\n",
1332 |               "      <td>-0.185029</td>\n",
1333 |               "      <td>0.199565</td>\n",
1334 |               "      <td>0.721654</td>\n",
1335 |               "      <td>-1.448993</td>\n",
1336 |               "      <td>0.502027</td>\n",
1337 |               "      <td>1.161925</td>\n",
1338 |               "      <td>0.863855</td>\n",
1339 |               "      <td>0.964671</td>\n",
1340 |               "      <td>-0.800307</td>\n",
1341 |               "      <td>-0.000461</td>\n",
1342 |               "      <td>0.443869</td>\n",
1343 |               "      <td>0.242508</td>\n",
1344 |               "      <td>-0.232639</td>\n",
1345 |               "      <td>0.018657</td>\n",
1346 |               "      <td>685.10</td>\n",
1347 |               "      <td>0</td>\n",
1348 |               "    </tr>\n",
1349 |               "  </tbody>\n",
1350 |               "</table>\n",
1351 |               "</div>"
1352 |             ],
1353 |             "text/plain": [
1354 |               "            Time        V1        V2  ...       V28  Amount  Class\n",
1355 |               "135283   81184.0 -1.692426 -1.426632  ... -0.060679  139.89      0\n",
1356 |               "51737    45096.0  1.254523  0.426688  ... -0.011336   16.44      0\n",
1357 |               "207351  136634.0  1.578821 -1.037392  ... -0.001984  225.96      0\n",
1358 |               "104157   68934.0 -0.723808  1.277781  ...  0.026851    8.99      0\n",
1359 |               "180887  124736.0  0.990966 -2.717490  ...  0.018657  685.10      0\n",
1360 |               "\n",
1361 |               "[5 rows x 31 columns]"
1362 |             ]
1363 |           },
1364 |           "metadata": {
1365 |             "tags": []
1366 |           },
1367 |           "execution_count": 15
1368 |         }
1369 |       ]
1370 |     },
1371 |     {
1372 |       "cell_type": "code",
1373 |       "metadata": {
1374 |         "colab": {
1375 |           "base_uri": "https://localhost:8080/",
1376 |           "height": 223
1377 |         },
1378 |         "id": "YdvEWT33DsCC",
1379 |         "outputId": "6b6c7624-219a-40d7-9cdb-241754493097"
1380 |       },
1381 |       "source": [
1382 |         "new_dataset.tail()"
1383 |       ],
1384 |       "execution_count": 16,
1385 |       "outputs": [
1386 |         {
1387 |           "output_type": "execute_result",
1388 |           "data": {
1389 |             "text/html": [
1390 |               "<div>\n",
1391 |               "<style scoped>\n",
1392 |               "    .dataframe tbody tr th:only-of-type {\n",
1393 |               "        vertical-align: middle;\n",
1394 |               "    }\n",
1395 |               "\n",
1396 |               "    .dataframe tbody tr th {\n",
1397 |               "        vertical-align: top;\n",
1398 |               "    }\n",
1399 |               "\n",
1400 |               "    .dataframe thead th {\n",
1401 |               "        text-align: right;\n",
1402 |               "    }\n",
1403 |               "</style>\n",
1404 |               "<table border=\"1\" class=\"dataframe\">\n",
1405 |               "  <thead>\n",
1406 |               "    <tr style=\"text-align: right;\">\n",
1407 |               "      <th></th>\n",
1408 |               "      <th>Time</th>\n",
1409 |               "      <th>V1</th>\n",
1410 |               "      <th>V2</th>\n",
1411 |               "      <th>V3</th>\n",
1412 |               "      <th>V4</th>\n",
1413 |               "      <th>V5</th>\n",
1414 |               "      <th>V6</th>\n",
1415 |               "      <th>V7</th>\n",
1416 |               "      <th>V8</th>\n",
1417 |               "      <th>V9</th>\n",
1418 |               "      <th>V10</th>\n",
1419 |               "      <th>V11</th>\n",
1420 |               "      <th>V12</th>\n",
1421 |               "      <th>V13</th>\n",
1422 |               "      <th>V14</th>\n",
1423 |               "      <th>V15</th>\n",
1424 |               "      <th>V16</th>\n",
1425 |               "      <th>V17</th>\n",
1426 |               "      <th>V18</th>\n",
1427 |               "      <th>V19</th>\n",
1428 |               "      <th>V20</th>\n",
1429 |               "      <th>V21</th>\n",
1430 |               "      <th>V22</th>\n",
1431 |               "      <th>V23</th>\n",
1432 |               "      <th>V24</th>\n",
1433 |               "      <th>V25</th>\n",
1434 |               "      <th>V26</th>\n",
1435 |               "      <th>V27</th>\n",
1436 |               "      <th>V28</th>\n",
1437 |               "      <th>Amount</th>\n",
1438 |               "      <th>Class</th>\n",
1439 |               "    </tr>\n",
1440 |               "  </thead>\n",
1441 |               "  <tbody>\n",
1442 |               "    <tr>\n",
1443 |               "      <th>279863</th>\n",
1444 |               "      <td>169142.0</td>\n",
1445 |               "      <td>-1.927883</td>\n",
1446 |               "      <td>1.125653</td>\n",
1447 |               "      <td>-4.518331</td>\n",
1448 |               "      <td>1.749293</td>\n",
1449 |               "      <td>-1.566487</td>\n",
1450 |               "      <td>-2.010494</td>\n",
1451 |               "      <td>-0.882850</td>\n",
1452 |               "      <td>0.697211</td>\n",
1453 |               "      <td>-2.064945</td>\n",
1454 |               "      <td>-5.587794</td>\n",
1455 |               "      <td>2.115795</td>\n",
1456 |               "      <td>-5.417424</td>\n",
1457 |               "      <td>-1.235123</td>\n",
1458 |               "      <td>-6.665177</td>\n",
1459 |               "      <td>0.401701</td>\n",
1460 |               "      <td>-2.897825</td>\n",
1461 |               "      <td>-4.570529</td>\n",
1462 |               "      <td>-1.315147</td>\n",
1463 |               "      <td>0.391167</td>\n",
1464 |               "      <td>1.252967</td>\n",
1465 |               "      <td>0.778584</td>\n",
1466 |               "      <td>-0.319189</td>\n",
1467 |               "      <td>0.639419</td>\n",
1468 |               "      <td>-0.294885</td>\n",
1469 |               "      <td>0.537503</td>\n",
1470 |               "      <td>0.788395</td>\n",
1471 |               "      <td>0.292680</td>\n",
1472 |               "      <td>0.147968</td>\n",
1473 |               "      <td>390.00</td>\n",
1474 |               "      <td>1</td>\n",
1475 |               "    </tr>\n",
1476 |               "    <tr>\n",
1477 |               "      <th>280143</th>\n",
1478 |               "      <td>169347.0</td>\n",
1479 |               "      <td>1.378559</td>\n",
1480 |               "      <td>1.289381</td>\n",
1481 |               "      <td>-5.004247</td>\n",
1482 |               "      <td>1.411850</td>\n",
1483 |               "      <td>0.442581</td>\n",
1484 |               "      <td>-1.326536</td>\n",
1485 |               "      <td>-1.413170</td>\n",
1486 |               "      <td>0.248525</td>\n",
1487 |               "      <td>-1.127396</td>\n",
1488 |               "      <td>-3.232153</td>\n",
1489 |               "      <td>2.858466</td>\n",
1490 |               "      <td>-3.096915</td>\n",
1491 |               "      <td>-0.792532</td>\n",
1492 |               "      <td>-5.210141</td>\n",
1493 |               "      <td>-0.613803</td>\n",
1494 |               "      <td>-2.155297</td>\n",
1495 |               "      <td>-3.267116</td>\n",
1496 |               "      <td>-0.688505</td>\n",
1497 |               "      <td>0.737657</td>\n",
1498 |               "      <td>0.226138</td>\n",
1499 |               "      <td>0.370612</td>\n",
1500 |               "      <td>0.028234</td>\n",
1501 |               "      <td>-0.145640</td>\n",
1502 |               "      <td>-0.081049</td>\n",
1503 |               "      <td>0.521875</td>\n",
1504 |               "      <td>0.739467</td>\n",
1505 |               "      <td>0.389152</td>\n",
1506 |               "      <td>0.186637</td>\n",
1507 |               "      <td>0.76</td>\n",
1508 |               "      <td>1</td>\n",
1509 |               "    </tr>\n",
1510 |               "    <tr>\n",
1511 |               "      <th>280149</th>\n",
1512 |               "      <td>169351.0</td>\n",
1513 |               "      <td>-0.676143</td>\n",
1514 |               "      <td>1.126366</td>\n",
1515 |               "      <td>-2.213700</td>\n",
1516 |               "      <td>0.468308</td>\n",
1517 |               "      <td>-1.120541</td>\n",
1518 |               "      <td>-0.003346</td>\n",
1519 |               "      <td>-2.234739</td>\n",
1520 |               "      <td>1.210158</td>\n",
1521 |               "      <td>-0.652250</td>\n",
1522 |               "      <td>-3.463891</td>\n",
1523 |               "      <td>1.794969</td>\n",
1524 |               "      <td>-2.775022</td>\n",
1525 |               "      <td>-0.418950</td>\n",
1526 |               "      <td>-4.057162</td>\n",
1527 |               "      <td>-0.712616</td>\n",
1528 |               "      <td>-1.603015</td>\n",
1529 |               "      <td>-5.035326</td>\n",
1530 |               "      <td>-0.507000</td>\n",
1531 |               "      <td>0.266272</td>\n",
1532 |               "      <td>0.247968</td>\n",
1533 |               "      <td>0.751826</td>\n",
1534 |               "      <td>0.834108</td>\n",
1535 |               "      <td>0.190944</td>\n",
1536 |               "      <td>0.032070</td>\n",
1537 |               "      <td>-0.739695</td>\n",
1538 |               "      <td>0.471111</td>\n",
1539 |               "      <td>0.385107</td>\n",
1540 |               "      <td>0.194361</td>\n",
1541 |               "      <td>77.89</td>\n",
1542 |               "      <td>1</td>\n",
1543 |               "    </tr>\n",
1544 |               "    <tr>\n",
1545 |               "      <th>281144</th>\n",
1546 |               "      <td>169966.0</td>\n",
1547 |               "      <td>-3.113832</td>\n",
1548 |               "      <td>0.585864</td>\n",
1549 |               "      <td>-5.399730</td>\n",
1550 |               "      <td>1.817092</td>\n",
1551 |               "      <td>-0.840618</td>\n",
1552 |               "      <td>-2.943548</td>\n",
1553 |               "      <td>-2.208002</td>\n",
1554 |               "      <td>1.058733</td>\n",
1555 |               "      <td>-1.632333</td>\n",
1556 |               "      <td>-5.245984</td>\n",
1557 |               "      <td>1.933520</td>\n",
1558 |               "      <td>-5.030465</td>\n",
1559 |               "      <td>-1.127455</td>\n",
1560 |               "      <td>-6.416628</td>\n",
1561 |               "      <td>0.141237</td>\n",
1562 |               "      <td>-2.549498</td>\n",
1563 |               "      <td>-4.614717</td>\n",
1564 |               "      <td>-1.478138</td>\n",
1565 |               "      <td>-0.035480</td>\n",
1566 |               "      <td>0.306271</td>\n",
1567 |               "      <td>0.583276</td>\n",
1568 |               "      <td>-0.269209</td>\n",
1569 |               "      <td>-0.456108</td>\n",
1570 |               "      <td>-0.183659</td>\n",
1571 |               "      <td>-0.328168</td>\n",
1572 |               "      <td>0.606116</td>\n",
1573 |               "      <td>0.884876</td>\n",
1574 |               "      <td>-0.253700</td>\n",
1575 |               "      <td>245.00</td>\n",
1576 |               "      <td>1</td>\n",
1577 |               "    </tr>\n",
1578 |               "    <tr>\n",
1579 |               "      <th>281674</th>\n",
1580 |               "      <td>170348.0</td>\n",
1581 |               "      <td>1.991976</td>\n",
1582 |               "      <td>0.158476</td>\n",
1583 |               "      <td>-2.583441</td>\n",
1584 |               "      <td>0.408670</td>\n",
1585 |               "      <td>1.151147</td>\n",
1586 |               "      <td>-0.096695</td>\n",
1587 |               "      <td>0.223050</td>\n",
1588 |               "      <td>-0.068384</td>\n",
1589 |               "      <td>0.577829</td>\n",
1590 |               "      <td>-0.888722</td>\n",
1591 |               "      <td>0.491140</td>\n",
1592 |               "      <td>0.728903</td>\n",
1593 |               "      <td>0.380428</td>\n",
1594 |               "      <td>-1.948883</td>\n",
1595 |               "      <td>-0.832498</td>\n",
1596 |               "      <td>0.519436</td>\n",
1597 |               "      <td>0.903562</td>\n",
1598 |               "      <td>1.197315</td>\n",
1599 |               "      <td>0.593509</td>\n",
1600 |               "      <td>-0.017652</td>\n",
1601 |               "      <td>-0.164350</td>\n",
1602 |               "      <td>-0.295135</td>\n",
1603 |               "      <td>-0.072173</td>\n",
1604 |               "      <td>-0.450261</td>\n",
1605 |               "      <td>0.313267</td>\n",
1606 |               "      <td>-0.289617</td>\n",
1607 |               "      <td>0.002988</td>\n",
1608 |               "      <td>-0.015309</td>\n",
1609 |               "      <td>42.53</td>\n",
1610 |               "      <td>1</td>\n",
1611 |               "    </tr>\n",
1612 |               "  </tbody>\n",
1613 |               "</table>\n",
1614 |               "</div>"
1615 |             ],
1616 |             "text/plain": [
1617 |               "            Time        V1        V2  ...       V28  Amount  Class\n",
1618 |               "279863  169142.0 -1.927883  1.125653  ...  0.147968  390.00      1\n",
1619 |               "280143  169347.0  1.378559  1.289381  ...  0.186637    0.76      1\n",
1620 |               "280149  169351.0 -0.676143  1.126366  ...  0.194361   77.89      1\n",
1621 |               "281144  169966.0 -3.113832  0.585864  ... -0.253700  245.00      1\n",
1622 |               "281674  170348.0  1.991976  0.158476  ... -0.015309   42.53      1\n",
1623 |               "\n",
1624 |               "[5 rows x 31 columns]"
1625 |             ]
1626 |           },
1627 |           "metadata": {
1628 |             "tags": []
1629 |           },
1630 |           "execution_count": 16
1631 |         }
1632 |       ]
1633 |     },
1634 |     {
1635 |       "cell_type": "code",
1636 |       "metadata": {
1637 |         "colab": {
1638 |           "base_uri": "https://localhost:8080/"
1639 |         },
1640 |         "id": "SJjyXuTHDuQr",
1641 |         "outputId": "768d1286-ce01-413b-f297-4cb7c133b41c"
1642 |       },
1643 |       "source": [
1644 |         "new_dataset['Class'].value_counts()"
1645 |       ],
1646 |       "execution_count": 17,
1647 |       "outputs": [
1648 |         {
1649 |           "output_type": "execute_result",
1650 |           "data": {
1651 |             "text/plain": [
1652 |               "1    492\n",
1653 |               "0    492\n",
1654 |               "Name: Class, dtype: int64"
1655 |             ]
1656 |           },
1657 |           "metadata": {
1658 |             "tags": []
1659 |           },
1660 |           "execution_count": 17
1661 |         }
1662 |       ]
1663 |     },
1664 |     {
1665 |       "cell_type": "code",
1666 |       "metadata": {
1667 |         "colab": {
1668 |           "base_uri": "https://localhost:8080/",
1669 |           "height": 162
1670 |         },
1671 |         "id": "Lchuy7YfDv3R",
1672 |         "outputId": "40478540-d57c-4ee0-dc6f-32740b8a8890"
1673 |       },
1674 |       "source": [
1675 |         "new_dataset.groupby('Class').mean()"
1676 |       ],
1677 |       "execution_count": 18,
1678 |       "outputs": [
1679 |         {
1680 |           "output_type": "execute_result",
1681 |           "data": {
1682 |             "text/html": [
1683 |               "<div>\n",
1684 |               "<style scoped>\n",
1685 |               "    .dataframe tbody tr th:only-of-type {\n",
1686 |               "        vertical-align: middle;\n",
1687 |               "    }\n",
1688 |               "\n",
1689 |               "    .dataframe tbody tr th {\n",
1690 |               "        vertical-align: top;\n",
1691 |               "    }\n",
1692 |               "\n",
1693 |               "    .dataframe thead th {\n",
1694 |               "        text-align: right;\n",
1695 |               "    }\n",
1696 |               "</style>\n",
1697 |               "<table border=\"1\" class=\"dataframe\">\n",
1698 |               "  <thead>\n",
1699 |               "    <tr style=\"text-align: right;\">\n",
1700 |               "      <th></th>\n",
1701 |               "      <th>Time</th>\n",
1702 |               "      <th>V1</th>\n",
1703 |               "      <th>V2</th>\n",
1704 |               "      <th>V3</th>\n",
1705 |               "      <th>V4</th>\n",
1706 |               "      <th>V5</th>\n",
1707 |               "      <th>V6</th>\n",
1708 |               "      <th>V7</th>\n",
1709 |               "      <th>V8</th>\n",
1710 |               "      <th>V9</th>\n",
1711 |               "      <th>V10</th>\n",
1712 |               "      <th>V11</th>\n",
1713 |               "      <th>V12</th>\n",
1714 |               "      <th>V13</th>\n",
1715 |               "      <th>V14</th>\n",
1716 |               "      <th>V15</th>\n",
1717 |               "      <th>V16</th>\n",
1718 |               "      <th>V17</th>\n",
1719 |               "      <th>V18</th>\n",
1720 |               "      <th>V19</th>\n",
1721 |               "      <th>V20</th>\n",
1722 |               "      <th>V21</th>\n",
1723 |               "      <th>V22</th>\n",
1724 |               "      <th>V23</th>\n",
1725 |               "      <th>V24</th>\n",
1726 |               "      <th>V25</th>\n",
1727 |               "      <th>V26</th>\n",
1728 |               "      <th>V27</th>\n",
1729 |               "      <th>V28</th>\n",
1730 |               "      <th>Amount</th>\n",
1731 |               "    </tr>\n",
1732 |               "    <tr>\n",
1733 |               "      <th>Class</th>\n",
1734 |               "      <th></th>\n",
1735 |               "      <th></th>\n",
1736 |               "      <th></th>\n",
1737 |               "      <th></th>\n",
1738 |               "      <th></th>\n",
1739 |               "      <th></th>\n",
1740 |               "      <th></th>\n",
1741 |               "      <th></th>\n",
1742 |               "      <th></th>\n",
1743 |               "      <th></th>\n",
1744 |               "      <th></th>\n",
1745 |               "      <th></th>\n",
1746 |               "      <th></th>\n",
1747 |               "      <th></th>\n",
1748 |               "      <th></th>\n",
1749 |               "      <th></th>\n",
1750 |               "      <th></th>\n",
1751 |               "      <th></th>\n",
1752 |               "      <th></th>\n",
1753 |               "      <th></th>\n",
1754 |               "      <th></th>\n",
1755 |               "      <th></th>\n",
1756 |               "      <th></th>\n",
1757 |               "      <th></th>\n",
1758 |               "      <th></th>\n",
1759 |               "      <th></th>\n",
1760 |               "      <th></th>\n",
1761 |               "      <th></th>\n",
1762 |               "      <th></th>\n",
1763 |               "      <th></th>\n",
1764 |               "    </tr>\n",
1765 |               "  </thead>\n",
1766 |               "  <tbody>\n",
1767 |               "    <tr>\n",
1768 |               "      <th>0</th>\n",
1769 |               "      <td>91689.526423</td>\n",
1770 |               "      <td>-0.004396</td>\n",
1771 |               "      <td>-0.072772</td>\n",
1772 |               "      <td>0.078174</td>\n",
1773 |               "      <td>-0.056607</td>\n",
1774 |               "      <td>-0.036143</td>\n",
1775 |               "      <td>0.002296</td>\n",
1776 |               "      <td>0.015672</td>\n",
1777 |               "      <td>0.036220</td>\n",
1778 |               "      <td>0.018225</td>\n",
1779 |               "      <td>-0.063194</td>\n",
1780 |               "      <td>0.008175</td>\n",
1781 |               "      <td>0.052299</td>\n",
1782 |               "      <td>-0.009125</td>\n",
1783 |               "      <td>0.007462</td>\n",
1784 |               "      <td>-0.023142</td>\n",
1785 |               "      <td>-0.002752</td>\n",
1786 |               "      <td>0.037757</td>\n",
1787 |               "      <td>-0.050499</td>\n",
1788 |               "      <td>-0.029256</td>\n",
1789 |               "      <td>0.057827</td>\n",
1790 |               "      <td>0.007346</td>\n",
1791 |               "      <td>0.011248</td>\n",
1792 |               "      <td>-0.006803</td>\n",
1793 |               "      <td>-0.006657</td>\n",
1794 |               "      <td>-0.005947</td>\n",
1795 |               "      <td>0.017890</td>\n",
1796 |               "      <td>0.000840</td>\n",
1797 |               "      <td>0.029621</td>\n",
1798 |               "      <td>104.587378</td>\n",
1799 |               "    </tr>\n",
1800 |               "    <tr>\n",
1801 |               "      <th>1</th>\n",
1802 |               "      <td>80746.806911</td>\n",
1803 |               "      <td>-4.771948</td>\n",
1804 |               "      <td>3.623778</td>\n",
1805 |               "      <td>-7.033281</td>\n",
1806 |               "      <td>4.542029</td>\n",
1807 |               "      <td>-3.151225</td>\n",
1808 |               "      <td>-1.397737</td>\n",
1809 |               "      <td>-5.568731</td>\n",
1810 |               "      <td>0.570636</td>\n",
1811 |               "      <td>-2.581123</td>\n",
1812 |               "      <td>-5.676883</td>\n",
1813 |               "      <td>3.800173</td>\n",
1814 |               "      <td>-6.259393</td>\n",
1815 |               "      <td>-0.109334</td>\n",
1816 |               "      <td>-6.971723</td>\n",
1817 |               "      <td>-0.092929</td>\n",
1818 |               "      <td>-4.139946</td>\n",
1819 |               "      <td>-6.665836</td>\n",
1820 |               "      <td>-2.246308</td>\n",
1821 |               "      <td>0.680659</td>\n",
1822 |               "      <td>0.372319</td>\n",
1823 |               "      <td>0.713588</td>\n",
1824 |               "      <td>0.014049</td>\n",
1825 |               "      <td>-0.040308</td>\n",
1826 |               "      <td>-0.105130</td>\n",
1827 |               "      <td>0.041449</td>\n",
1828 |               "      <td>0.051648</td>\n",
1829 |               "      <td>0.170575</td>\n",
1830 |               "      <td>0.075667</td>\n",
1831 |               "      <td>122.211321</td>\n",
1832 |               "    </tr>\n",
1833 |               "  </tbody>\n",
1834 |               "</table>\n",
1835 |               "</div>"
1836 |             ],
1837 |             "text/plain": [
1838 |               "               Time        V1        V2  ...       V27       V28      Amount\n",
1839 |               "Class                                    ...                                \n",
1840 |               "0      91689.526423 -0.004396 -0.072772  ...  0.000840  0.029621  104.587378\n",
1841 |               "1      80746.806911 -4.771948  3.623778  ...  0.170575  0.075667  122.211321\n",
1842 |               "\n",
1843 |               "[2 rows x 30 columns]"
1844 |             ]
1845 |           },
1846 |           "metadata": {
1847 |             "tags": []
1848 |           },
1849 |           "execution_count": 18
1850 |         }
1851 |       ]
1852 |     },
1853 |     {
1854 |       "cell_type": "markdown",
1855 |       "metadata": {
1856 |         "id": "jVdxPud4DzPe"
1857 |       },
1858 |       "source": [
1859 |         "Splitting the data into Features and Targets"
1860 |       ]
1861 |     },
1862 |     {
1863 |       "cell_type": "code",
1864 |       "metadata": {
1865 |         "id": "uF10Oe5RDxlX"
1866 |       },
1867 |       "source": [
1868 |         "X = new_dataset.drop(columns='Class', axis=1)\n",
1869 |         "Y = new_dataset['Class']"
1870 |       ],
1871 |       "execution_count": 19,
1872 |       "outputs": []
1873 |     },
1874 |     {
1875 |       "cell_type": "code",
1876 |       "metadata": {
1877 |         "colab": {
1878 |           "base_uri": "https://localhost:8080/"
1879 |         },
1880 |         "id": "rj3oUiHMD10n",
1881 |         "outputId": "fe729953-b3c0-4c96-f475-1db4d2677b0d"
1882 |       },
1883 |       "source": [
1884 |         "print(X)"
1885 |       ],
1886 |       "execution_count": 20,
1887 |       "outputs": [
1888 |         {
1889 |           "output_type": "stream",
1890 |           "text": [
1891 |             "            Time        V1        V2  ...       V27       V28  Amount\n",
1892 |             "135283   81184.0 -1.692426 -1.426632  ... -0.146479 -0.060679  139.89\n",
1893 |             "51737    45096.0  1.254523  0.426688  ...  0.006375 -0.011336   16.44\n",
1894 |             "207351  136634.0  1.578821 -1.037392  ... -0.041466 -0.001984  225.96\n",
1895 |             "104157   68934.0 -0.723808  1.277781  ...  0.115830  0.026851    8.99\n",
1896 |             "180887  124736.0  0.990966 -2.717490  ... -0.232639  0.018657  685.10\n",
1897 |             "...          ...       ...       ...  ...       ...       ...     ...\n",
1898 |             "279863  169142.0 -1.927883  1.125653  ...  0.292680  0.147968  390.00\n",
1899 |             "280143  169347.0  1.378559  1.289381  ...  0.389152  0.186637    0.76\n",
1900 |             "280149  169351.0 -0.676143  1.126366  ...  0.385107  0.194361   77.89\n",
1901 |             "281144  169966.0 -3.113832  0.585864  ...  0.884876 -0.253700  245.00\n",
1902 |             "281674  170348.0  1.991976  0.158476  ...  0.002988 -0.015309   42.53\n",
1903 |             "\n",
1904 |             "[984 rows x 30 columns]\n"
1905 |           ],
1906 |           "name": "stdout"
1907 |         }
1908 |       ]
1909 |     },
1910 |     {
1911 |       "cell_type": "code",
1912 |       "metadata": {
1913 |         "colab": {
1914 |           "base_uri": "https://localhost:8080/"
1915 |         },
1916 |         "id": "m5GvzTNJD3eE",
1917 |         "outputId": "ae12650f-76ef-4248-fb90-10bfd1dfe1d1"
1918 |       },
1919 |       "source": [
1920 |         "print(Y)"
1921 |       ],
1922 |       "execution_count": 21,
1923 |       "outputs": [
1924 |         {
1925 |           "output_type": "stream",
1926 |           "text": [
1927 |             "135283    0\n",
1928 |             "51737     0\n",
1929 |             "207351    0\n",
1930 |             "104157    0\n",
1931 |             "180887    0\n",
1932 |             "         ..\n",
1933 |             "279863    1\n",
1934 |             "280143    1\n",
1935 |             "280149    1\n",
1936 |             "281144    1\n",
1937 |             "281674    1\n",
1938 |             "Name: Class, Length: 984, dtype: int64\n"
1939 |           ],
1940 |           "name": "stdout"
1941 |         }
1942 |       ]
1943 |     },
1944 |     {
1945 |       "cell_type": "markdown",
1946 |       "metadata": {
1947 |         "id": "L3nrBewjD_Pb"
1948 |       },
1949 |       "source": [
1950 |         "Train and Testing Split"
1951 |       ]
1952 |     },
1953 |     {
1954 |       "cell_type": "code",
1955 |       "metadata": {
1956 |         "id": "UDvZRJoyD4xQ"
1957 |       },
1958 |       "source": [
1959 |         "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2, stratify=Y, random_state=2)"
1960 |       ],
1961 |       "execution_count": 22,
1962 |       "outputs": []
1963 |     },
1964 |     {
1965 |       "cell_type": "code",
1966 |       "metadata": {
1967 |         "colab": {
1968 |           "base_uri": "https://localhost:8080/"
1969 |         },
1970 |         "id": "f0g6WjruEBJl",
1971 |         "outputId": "be7e97cc-0c5d-43c8-ef3c-b336eccbd0ec"
1972 |       },
1973 |       "source": [
1974 |         "print(X.shape, X_train.shape, X_test.shape)"
1975 |       ],
1976 |       "execution_count": 23,
1977 |       "outputs": [
1978 |         {
1979 |           "output_type": "stream",
1980 |           "text": [
1981 |             "(984, 30) (787, 30) (197, 30)\n"
1982 |           ],
1983 |           "name": "stdout"
1984 |         }
1985 |       ]
1986 |     },
1987 |     {
1988 |       "cell_type": "markdown",
1989 |       "metadata": {
1990 |         "id": "_NumLl3qEEX9"
1991 |       },
1992 |       "source": [
1993 |         "Logistic Regression Model Training"
1994 |       ]
1995 |     },
1996 |     {
1997 |       "cell_type": "code",
1998 |       "metadata": {
1999 |         "id": "ASdVtR5fECNj"
2000 |       },
2001 |       "source": [
2002 |         "model = LogisticRegression()"
2003 |       ],
2004 |       "execution_count": 24,
2005 |       "outputs": []
2006 |     },
2007 |     {
2008 |       "cell_type": "code",
2009 |       "metadata": {
2010 |         "colab": {
2011 |           "base_uri": "https://localhost:8080/"
2012 |         },
2013 |         "id": "poA9v678EGtW",
2014 |         "outputId": "c41e0334-d44d-4705-9990-9b2beace01d9"
2015 |       },
2016 |       "source": [
2017 |         "#training the Logistic Regression Model with Training Data\n",
2018 |         "model.fit(X_train, Y_train)"
2019 |       ],
2020 |       "execution_count": 25,
2021 |       "outputs": [
2022 |         {
2023 |           "output_type": "execute_result",
2024 |           "data": {
2025 |             "text/plain": [
2026 |               "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
2027 |               "                   intercept_scaling=1, l1_ratio=None, max_iter=100,\n",
2028 |               "                   multi_class='auto', n_jobs=None, penalty='l2',\n",
2029 |               "                   random_state=None, solver='lbfgs', tol=0.0001, verbose=0,\n",
2030 |               "                   warm_start=False)"
2031 |             ]
2032 |           },
2033 |           "metadata": {
2034 |             "tags": []
2035 |           },
2036 |           "execution_count": 25
2037 |         }
2038 |       ]
2039 |     },
2040 |     {
2041 |       "cell_type": "markdown",
2042 |       "metadata": {
2043 |         "id": "YilGdZ-qELK8"
2044 |       },
2045 |       "source": [
2046 |         "Model Evaluation: Accuracy Score"
2047 |       ]
2048 |     },
2049 |     {
2050 |       "cell_type": "code",
2051 |       "metadata": {
2052 |         "id": "W3yCpyPZEIqv"
2053 |       },
2054 |       "source": [
2055 |         "#accuracy on training data\n",
2056 |         "X_train_prediction = model.predict(X_train)\n",
2057 |         "training_data_accuracy = accuracy_score(X_train_prediction, Y_train)"
2058 |       ],
2059 |       "execution_count": 26,
2060 |       "outputs": []
2061 |     },
2062 |     {
2063 |       "cell_type": "code",
2064 |       "metadata": {
2065 |         "colab": {
2066 |           "base_uri": "https://localhost:8080/"
2067 |         },
2068 |         "id": "NheDGoa7EPFA",
2069 |         "outputId": "9970a7fb-c119-40af-a850-befa902c709e"
2070 |       },
2071 |       "source": [
2072 |         "print('Accuracy on Training Data : ', training_data_accuracy)"
2073 |       ],
2074 |       "execution_count": 27,
2075 |       "outputs": [
2076 |         {
2077 |           "output_type": "stream",
2078 |           "text": [
2079 |             "Accuracy on Training Data :  0.9364675984752223\n"
2080 |           ],
2081 |           "name": "stdout"
2082 |         }
2083 |       ]
2084 |     },
2085 |     {
2086 |       "cell_type": "code",
2087 |       "metadata": {
2088 |         "id": "eUXUuaE5ERM2"
2089 |       },
2090 |       "source": [
2091 |         "#accuracy on test data\n",
2092 |         "X_test_prediction = model.predict(X_test)\n",
2093 |         "test_data_accuracy = accuracy_score(X_test_prediction, Y_test)"
2094 |       ],
2095 |       "execution_count": 28,
2096 |       "outputs": []
2097 |     },
2098 |     {
2099 |       "cell_type": "code",
2100 |       "metadata": {
2101 |         "colab": {
2102 |           "base_uri": "https://localhost:8080/"
2103 |         },
2104 |         "id": "CYtrUlRMEUjM",
2105 |         "outputId": "3b1b4299-394e-4538-d39b-a88e4a88f70c"
2106 |       },
2107 |       "source": [
2108 |         "print('Accuracy score on Test Data : ', test_data_accuracy)"
2109 |       ],
2110 |       "execution_count": 29,
2111 |       "outputs": [
2112 |         {
2113 |           "output_type": "stream",
2114 |           "text": [
2115 |             "Accuracy score on Test Data :  0.9289340101522843\n"
2116 |           ],
2117 |           "name": "stdout"
2118 |         }
2119 |       ]
2120 |     },
2121 |     {
2122 |       "cell_type": "code",
2123 |       "metadata": {
2124 |         "id": "QajzXv5GEWmj"
2125 |       },
2126 |       "source": [
2127 |         ""
2128 |       ],
2129 |       "execution_count": null,
2130 |       "outputs": []
2131 |     }
2132 |   ]
2133 | }


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