└── Decision Tree classfication-Copy1.ipynb


/Decision Tree classfication-Copy1.ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |  "cells": [
   3 |   {
   4 |    "cell_type": "code",
   5 |    "execution_count": 2,
   6 |    "id": "ea84c493",
   7 |    "metadata": {},
   8 |    "outputs": [
   9 |     {
  10 |      "name": "stdout",
  11 |      "output_type": "stream",
  12 |      "text": [
  13 |       "Requirement already satisfied: pandas in c:\\users\\lenovo\\anaconda3\\lib\\site-packages (1.4.2)\n",
  14 |       "Requirement already satisfied: pytz>=2020.1 in c:\\users\\lenovo\\anaconda3\\lib\\site-packages (from pandas) (2021.3)\n",
  15 |       "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\users\\lenovo\\anaconda3\\lib\\site-packages (from pandas) (2.8.2)\n",
  16 |       "Requirement already satisfied: numpy>=1.18.5 in c:\\users\\lenovo\\anaconda3\\lib\\site-packages (from pandas) (1.21.5)\n",
  17 |       "Requirement already satisfied: six>=1.5 in c:\\users\\lenovo\\anaconda3\\lib\\site-packages (from python-dateutil>=2.8.1->pandas) (1.16.0)\n",
  18 |       "Note: you may need to restart the kernel to use updated packages.\n"
  19 |      ]
  20 |     }
  21 |    ],
  22 |    "source": [
  23 |     "pip install pandas"
  24 |    ]
  25 |   },
  26 |   {
  27 |    "cell_type": "code",
  28 |    "execution_count": 20,
  29 |    "id": "71eb3fc0",
  30 |    "metadata": {},
  31 |    "outputs": [],
  32 |    "source": [
  33 |     "import pandas as u"
  34 |    ]
  35 |   },
  36 |   {
  37 |    "cell_type": "code",
  38 |    "execution_count": 21,
  39 |    "id": "ff3d30e4",
  40 |    "metadata": {},
  41 |    "outputs": [],
  42 |    "source": [
  43 |     "import numpy as np"
  44 |    ]
  45 |   },
  46 |   {
  47 |    "cell_type": "code",
  48 |    "execution_count": 22,
  49 |    "id": "128f6994",
  50 |    "metadata": {},
  51 |    "outputs": [
  52 |     {
  53 |      "data": {
  54 |       "text/html": [
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  72 |        "      <th></th>\n",
  73 |        "      <th>rank</th>\n",
  74 |        "      <th>title</th>\n",
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  79 |        "      <th>growth (60 days)</th>\n",
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  81 |        "      <th>category</th>\n",
  82 |        "      <th>5 star ratings</th>\n",
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  84 |        "      <th>3 star ratings</th>\n",
  85 |        "      <th>2 star ratings</th>\n",
  86 |        "      <th>1 star ratings</th>\n",
  87 |        "      <th>paid</th>\n",
  88 |        "    </tr>\n",
  89 |        "  </thead>\n",
  90 |        "  <tbody>\n",
  91 |        "    <tr>\n",
  92 |        "      <th>0</th>\n",
  93 |        "      <td>1</td>\n",
  94 |        "      <td>Garena Free Fire- World Series</td>\n",
  95 |        "      <td>86273129</td>\n",
  96 |        "      <td>500.0 M</td>\n",
  97 |        "      <td>4</td>\n",
  98 |        "      <td>2.1</td>\n",
  99 |        "      <td>6.9</td>\n",
 100 |        "      <td>0</td>\n",
 101 |        "      <td>GAME ACTION</td>\n",
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 107 |        "      <td>False</td>\n",
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 109 |        "    <tr>\n",
 110 |        "      <th>1</th>\n",
 111 |        "      <td>2</td>\n",
 112 |        "      <td>PUBG MOBILE - Traverse</td>\n",
 113 |        "      <td>37276732</td>\n",
 114 |        "      <td>500.0 M</td>\n",
 115 |        "      <td>4</td>\n",
 116 |        "      <td>1.8</td>\n",
 117 |        "      <td>3.6</td>\n",
 118 |        "      <td>0</td>\n",
 119 |        "      <td>GAME ACTION</td>\n",
 120 |        "      <td>28339753</td>\n",
 121 |        "      <td>2164478</td>\n",
 122 |        "      <td>1253185</td>\n",
 123 |        "      <td>809821</td>\n",
 124 |        "      <td>4709492</td>\n",
 125 |        "      <td>False</td>\n",
 126 |        "    </tr>\n",
 127 |        "    <tr>\n",
 128 |        "      <th>2</th>\n",
 129 |        "      <td>3</td>\n",
 130 |        "      <td>Mobile Legends: Bang Bang</td>\n",
 131 |        "      <td>26663595</td>\n",
 132 |        "      <td>100.0 M</td>\n",
 133 |        "      <td>4</td>\n",
 134 |        "      <td>1.5</td>\n",
 135 |        "      <td>3.2</td>\n",
 136 |        "      <td>0</td>\n",
 137 |        "      <td>GAME ACTION</td>\n",
 138 |        "      <td>18777988</td>\n",
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 140 |        "      <td>1050600</td>\n",
 141 |        "      <td>713912</td>\n",
 142 |        "      <td>4308998</td>\n",
 143 |        "      <td>False</td>\n",
 144 |        "    </tr>\n",
 145 |        "    <tr>\n",
 146 |        "      <th>3</th>\n",
 147 |        "      <td>4</td>\n",
 148 |        "      <td>Brawl Stars</td>\n",
 149 |        "      <td>17971552</td>\n",
 150 |        "      <td>100.0 M</td>\n",
 151 |        "      <td>4</td>\n",
 152 |        "      <td>1.4</td>\n",
 153 |        "      <td>4.4</td>\n",
 154 |        "      <td>0</td>\n",
 155 |        "      <td>GAME ACTION</td>\n",
 156 |        "      <td>13018610</td>\n",
 157 |        "      <td>1552950</td>\n",
 158 |        "      <td>774012</td>\n",
 159 |        "      <td>406184</td>\n",
 160 |        "      <td>2219794</td>\n",
 161 |        "      <td>False</td>\n",
 162 |        "    </tr>\n",
 163 |        "    <tr>\n",
 164 |        "      <th>4</th>\n",
 165 |        "      <td>5</td>\n",
 166 |        "      <td>Sniper 3D: Fun Free Online FPS Shooting Game</td>\n",
 167 |        "      <td>14464235</td>\n",
 168 |        "      <td>500.0 M</td>\n",
 169 |        "      <td>4</td>\n",
 170 |        "      <td>0.8</td>\n",
 171 |        "      <td>1.5</td>\n",
 172 |        "      <td>0</td>\n",
 173 |        "      <td>GAME ACTION</td>\n",
 174 |        "      <td>9827328</td>\n",
 175 |        "      <td>2124154</td>\n",
 176 |        "      <td>1047741</td>\n",
 177 |        "      <td>380670</td>\n",
 178 |        "      <td>1084340</td>\n",
 179 |        "      <td>False</td>\n",
 180 |        "    </tr>\n",
 181 |        "    <tr>\n",
 182 |        "      <th>...</th>\n",
 183 |        "      <td>...</td>\n",
 184 |        "      <td>...</td>\n",
 185 |        "      <td>...</td>\n",
 186 |        "      <td>...</td>\n",
 187 |        "      <td>...</td>\n",
 188 |        "      <td>...</td>\n",
 189 |        "      <td>...</td>\n",
 190 |        "      <td>...</td>\n",
 191 |        "      <td>...</td>\n",
 192 |        "      <td>...</td>\n",
 193 |        "      <td>...</td>\n",
 194 |        "      <td>...</td>\n",
 195 |        "      <td>...</td>\n",
 196 |        "      <td>...</td>\n",
 197 |        "      <td>...</td>\n",
 198 |        "    </tr>\n",
 199 |        "    <tr>\n",
 200 |        "      <th>95</th>\n",
 201 |        "      <td>96</td>\n",
 202 |        "      <td>Bullet Force</td>\n",
 203 |        "      <td>756002</td>\n",
 204 |        "      <td>10.0 M</td>\n",
 205 |        "      <td>3</td>\n",
 206 |        "      <td>0.1</td>\n",
 207 |        "      <td>0.1</td>\n",
 208 |        "      <td>0</td>\n",
 209 |        "      <td>GAME ACTION</td>\n",
 210 |        "      <td>434187</td>\n",
 211 |        "      <td>90078</td>\n",
 212 |        "      <td>58506</td>\n",
 213 |        "      <td>35311</td>\n",
 214 |        "      <td>137917</td>\n",
 215 |        "      <td>False</td>\n",
 216 |        "    </tr>\n",
 217 |        "    <tr>\n",
 218 |        "      <th>96</th>\n",
 219 |        "      <td>97</td>\n",
 220 |        "      <td>SHADOWGUN: DEADZONE</td>\n",
 221 |        "      <td>748945</td>\n",
 222 |        "      <td>10.0 M</td>\n",
 223 |        "      <td>4</td>\n",
 224 |        "      <td>0.1</td>\n",
 225 |        "      <td>0.3</td>\n",
 226 |        "      <td>0</td>\n",
 227 |        "      <td>GAME ACTION</td>\n",
 228 |        "      <td>554163</td>\n",
 229 |        "      <td>80239</td>\n",
 230 |        "      <td>38183</td>\n",
 231 |        "      <td>14231</td>\n",
 232 |        "      <td>62125</td>\n",
 233 |        "      <td>False</td>\n",
 234 |        "    </tr>\n",
 235 |        "    <tr>\n",
 236 |        "      <th>97</th>\n",
 237 |        "      <td>98</td>\n",
 238 |        "      <td>Royal Revolt 2: Tower Defense RTS &amp; Castle Bui...</td>\n",
 239 |        "      <td>727627</td>\n",
 240 |        "      <td>10.0 M</td>\n",
 241 |        "      <td>4</td>\n",
 242 |        "      <td>0.1</td>\n",
 243 |        "      <td>0.1</td>\n",
 244 |        "      <td>0</td>\n",
 245 |        "      <td>GAME ACTION</td>\n",
 246 |        "      <td>541833</td>\n",
 247 |        "      <td>91851</td>\n",
 248 |        "      <td>33669</td>\n",
 249 |        "      <td>12216</td>\n",
 250 |        "      <td>48055</td>\n",
 251 |        "      <td>False</td>\n",
 252 |        "    </tr>\n",
 253 |        "    <tr>\n",
 254 |        "      <th>98</th>\n",
 255 |        "      <td>99</td>\n",
 256 |        "      <td>Lara Croft: Relic Run</td>\n",
 257 |        "      <td>718905</td>\n",
 258 |        "      <td>10.0 M</td>\n",
 259 |        "      <td>4</td>\n",
 260 |        "      <td>0.2</td>\n",
 261 |        "      <td>0.5</td>\n",
 262 |        "      <td>0</td>\n",
 263 |        "      <td>GAME ACTION</td>\n",
 264 |        "      <td>445276</td>\n",
 265 |        "      <td>83143</td>\n",
 266 |        "      <td>55372</td>\n",
 267 |        "      <td>35836</td>\n",
 268 |        "      <td>99275</td>\n",
 269 |        "      <td>False</td>\n",
 270 |        "    </tr>\n",
 271 |        "    <tr>\n",
 272 |        "      <th>99</th>\n",
 273 |        "      <td>100</td>\n",
 274 |        "      <td>WWE Mayhem</td>\n",
 275 |        "      <td>703514</td>\n",
 276 |        "      <td>10.0 M</td>\n",
 277 |        "      <td>4</td>\n",
 278 |        "      <td>0.6</td>\n",
 279 |        "      <td>1.3</td>\n",
 280 |        "      <td>0</td>\n",
 281 |        "      <td>GAME ACTION</td>\n",
 282 |        "      <td>519090</td>\n",
 283 |        "      <td>68518</td>\n",
 284 |        "      <td>34658</td>\n",
 285 |        "      <td>17634</td>\n",
 286 |        "      <td>63612</td>\n",
 287 |        "      <td>False</td>\n",
 288 |        "    </tr>\n",
 289 |        "  </tbody>\n",
 290 |        "</table>\n",
 291 |        "<p>100 rows × 15 columns</p>\n",
 292 |        "</div>"
 293 |       ],
 294 |       "text/plain": [
 295 |        "    rank                                              title  total ratings  \\\n",
 296 |        "0      1                     Garena Free Fire- World Series       86273129   \n",
 297 |        "1      2                             PUBG MOBILE - Traverse       37276732   \n",
 298 |        "2      3                          Mobile Legends: Bang Bang       26663595   \n",
 299 |        "3      4                                        Brawl Stars       17971552   \n",
 300 |        "4      5       Sniper 3D: Fun Free Online FPS Shooting Game       14464235   \n",
 301 |        "..   ...                                                ...            ...   \n",
 302 |        "95    96                                       Bullet Force         756002   \n",
 303 |        "96    97                                SHADOWGUN: DEADZONE         748945   \n",
 304 |        "97    98  Royal Revolt 2: Tower Defense RTS & Castle Bui...         727627   \n",
 305 |        "98    99                              Lara Croft: Relic Run         718905   \n",
 306 |        "99   100                                         WWE Mayhem         703514   \n",
 307 |        "\n",
 308 |        "   installs  average rating  growth (30 days)  growth (60 days)  price  \\\n",
 309 |        "0   500.0 M               4               2.1               6.9      0   \n",
 310 |        "1   500.0 M               4               1.8               3.6      0   \n",
 311 |        "2   100.0 M               4               1.5               3.2      0   \n",
 312 |        "3   100.0 M               4               1.4               4.4      0   \n",
 313 |        "4   500.0 M               4               0.8               1.5      0   \n",
 314 |        "..      ...             ...               ...               ...    ...   \n",
 315 |        "95   10.0 M               3               0.1               0.1      0   \n",
 316 |        "96   10.0 M               4               0.1               0.3      0   \n",
 317 |        "97   10.0 M               4               0.1               0.1      0   \n",
 318 |        "98   10.0 M               4               0.2               0.5      0   \n",
 319 |        "99   10.0 M               4               0.6               1.3      0   \n",
 320 |        "\n",
 321 |        "       category  5 star ratings  4 star ratings  3 star ratings  \\\n",
 322 |        "0   GAME ACTION        63546766         4949507         3158756   \n",
 323 |        "1   GAME ACTION        28339753         2164478         1253185   \n",
 324 |        "2   GAME ACTION        18777988         1812094         1050600   \n",
 325 |        "3   GAME ACTION        13018610         1552950          774012   \n",
 326 |        "4   GAME ACTION         9827328         2124154         1047741   \n",
 327 |        "..          ...             ...             ...             ...   \n",
 328 |        "95  GAME ACTION          434187           90078           58506   \n",
 329 |        "96  GAME ACTION          554163           80239           38183   \n",
 330 |        "97  GAME ACTION          541833           91851           33669   \n",
 331 |        "98  GAME ACTION          445276           83143           55372   \n",
 332 |        "99  GAME ACTION          519090           68518           34658   \n",
 333 |        "\n",
 334 |        "    2 star ratings  1 star ratings   paid  \n",
 335 |        "0          2122183        12495915  False  \n",
 336 |        "1           809821         4709492  False  \n",
 337 |        "2           713912         4308998  False  \n",
 338 |        "3           406184         2219794  False  \n",
 339 |        "4           380670         1084340  False  \n",
 340 |        "..             ...             ...    ...  \n",
 341 |        "95           35311          137917  False  \n",
 342 |        "96           14231           62125  False  \n",
 343 |        "97           12216           48055  False  \n",
 344 |        "98           35836           99275  False  \n",
 345 |        "99           17634           63612  False  \n",
 346 |        "\n",
 347 |        "[100 rows x 15 columns]"
 348 |       ]
 349 |      },
 350 |      "execution_count": 22,
 351 |      "metadata": {},
 352 |      "output_type": "execute_result"
 353 |     }
 354 |    ],
 355 |    "source": [
 356 |     "data =u.read_csv(\"C:\\\\Users\\\\Lenovo\\\\Downloads\\\\android-games.csv\")\n",
 357 |     "data"
 358 |    ]
 359 |   },
 360 |   {
 361 |    "cell_type": "code",
 362 |    "execution_count": 23,
 363 |    "id": "754834d4",
 364 |    "metadata": {},
 365 |    "outputs": [],
 366 |    "source": [
 367 |     "X = data.drop('total ratings', axis=1)\n",
 368 |     "X"
 369 |    ]
 370 |   },
 371 |   {
 372 |    "cell_type": "code",
 373 |    "execution_count": 24,
 374 |    "id": "67916bc3",
 375 |    "metadata": {},
 376 |    "outputs": [
 377 |     {
 378 |      "data": {
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 411 |        "      <th>paid</th>\n",
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 413 |        "  </thead>\n",
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 415 |        "    <tr>\n",
 416 |        "      <th>0</th>\n",
 417 |        "      <td>1</td>\n",
 418 |        "      <td>Garena Free Fire- World Series</td>\n",
 419 |        "      <td>500.0 M</td>\n",
 420 |        "      <td>4</td>\n",
 421 |        "      <td>2.1</td>\n",
 422 |        "      <td>6.9</td>\n",
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 433 |        "      <th>1</th>\n",
 434 |        "      <td>2</td>\n",
 435 |        "      <td>PUBG MOBILE - Traverse</td>\n",
 436 |        "      <td>500.0 M</td>\n",
 437 |        "      <td>4</td>\n",
 438 |        "      <td>1.8</td>\n",
 439 |        "      <td>3.6</td>\n",
 440 |        "      <td>0</td>\n",
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 442 |        "      <td>28339753</td>\n",
 443 |        "      <td>2164478</td>\n",
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 445 |        "      <td>809821</td>\n",
 446 |        "      <td>4709492</td>\n",
 447 |        "      <td>False</td>\n",
 448 |        "    </tr>\n",
 449 |        "    <tr>\n",
 450 |        "      <th>2</th>\n",
 451 |        "      <td>3</td>\n",
 452 |        "      <td>Mobile Legends: Bang Bang</td>\n",
 453 |        "      <td>100.0 M</td>\n",
 454 |        "      <td>4</td>\n",
 455 |        "      <td>1.5</td>\n",
 456 |        "      <td>3.2</td>\n",
 457 |        "      <td>0</td>\n",
 458 |        "      <td>GAME ACTION</td>\n",
 459 |        "      <td>18777988</td>\n",
 460 |        "      <td>1812094</td>\n",
 461 |        "      <td>1050600</td>\n",
 462 |        "      <td>713912</td>\n",
 463 |        "      <td>4308998</td>\n",
 464 |        "      <td>False</td>\n",
 465 |        "    </tr>\n",
 466 |        "    <tr>\n",
 467 |        "      <th>3</th>\n",
 468 |        "      <td>4</td>\n",
 469 |        "      <td>Brawl Stars</td>\n",
 470 |        "      <td>100.0 M</td>\n",
 471 |        "      <td>4</td>\n",
 472 |        "      <td>1.4</td>\n",
 473 |        "      <td>4.4</td>\n",
 474 |        "      <td>0</td>\n",
 475 |        "      <td>GAME ACTION</td>\n",
 476 |        "      <td>13018610</td>\n",
 477 |        "      <td>1552950</td>\n",
 478 |        "      <td>774012</td>\n",
 479 |        "      <td>406184</td>\n",
 480 |        "      <td>2219794</td>\n",
 481 |        "      <td>False</td>\n",
 482 |        "    </tr>\n",
 483 |        "    <tr>\n",
 484 |        "      <th>4</th>\n",
 485 |        "      <td>5</td>\n",
 486 |        "      <td>Sniper 3D: Fun Free Online FPS Shooting Game</td>\n",
 487 |        "      <td>500.0 M</td>\n",
 488 |        "      <td>4</td>\n",
 489 |        "      <td>0.8</td>\n",
 490 |        "      <td>1.5</td>\n",
 491 |        "      <td>0</td>\n",
 492 |        "      <td>GAME ACTION</td>\n",
 493 |        "      <td>9827328</td>\n",
 494 |        "      <td>2124154</td>\n",
 495 |        "      <td>1047741</td>\n",
 496 |        "      <td>380670</td>\n",
 497 |        "      <td>1084340</td>\n",
 498 |        "      <td>False</td>\n",
 499 |        "    </tr>\n",
 500 |        "    <tr>\n",
 501 |        "      <th>...</th>\n",
 502 |        "      <td>...</td>\n",
 503 |        "      <td>...</td>\n",
 504 |        "      <td>...</td>\n",
 505 |        "      <td>...</td>\n",
 506 |        "      <td>...</td>\n",
 507 |        "      <td>...</td>\n",
 508 |        "      <td>...</td>\n",
 509 |        "      <td>...</td>\n",
 510 |        "      <td>...</td>\n",
 511 |        "      <td>...</td>\n",
 512 |        "      <td>...</td>\n",
 513 |        "      <td>...</td>\n",
 514 |        "      <td>...</td>\n",
 515 |        "      <td>...</td>\n",
 516 |        "    </tr>\n",
 517 |        "    <tr>\n",
 518 |        "      <th>95</th>\n",
 519 |        "      <td>96</td>\n",
 520 |        "      <td>Bullet Force</td>\n",
 521 |        "      <td>10.0 M</td>\n",
 522 |        "      <td>3</td>\n",
 523 |        "      <td>0.1</td>\n",
 524 |        "      <td>0.1</td>\n",
 525 |        "      <td>0</td>\n",
 526 |        "      <td>GAME ACTION</td>\n",
 527 |        "      <td>434187</td>\n",
 528 |        "      <td>90078</td>\n",
 529 |        "      <td>58506</td>\n",
 530 |        "      <td>35311</td>\n",
 531 |        "      <td>137917</td>\n",
 532 |        "      <td>False</td>\n",
 533 |        "    </tr>\n",
 534 |        "    <tr>\n",
 535 |        "      <th>96</th>\n",
 536 |        "      <td>97</td>\n",
 537 |        "      <td>SHADOWGUN: DEADZONE</td>\n",
 538 |        "      <td>10.0 M</td>\n",
 539 |        "      <td>4</td>\n",
 540 |        "      <td>0.1</td>\n",
 541 |        "      <td>0.3</td>\n",
 542 |        "      <td>0</td>\n",
 543 |        "      <td>GAME ACTION</td>\n",
 544 |        "      <td>554163</td>\n",
 545 |        "      <td>80239</td>\n",
 546 |        "      <td>38183</td>\n",
 547 |        "      <td>14231</td>\n",
 548 |        "      <td>62125</td>\n",
 549 |        "      <td>False</td>\n",
 550 |        "    </tr>\n",
 551 |        "    <tr>\n",
 552 |        "      <th>97</th>\n",
 553 |        "      <td>98</td>\n",
 554 |        "      <td>Royal Revolt 2: Tower Defense RTS &amp; Castle Bui...</td>\n",
 555 |        "      <td>10.0 M</td>\n",
 556 |        "      <td>4</td>\n",
 557 |        "      <td>0.1</td>\n",
 558 |        "      <td>0.1</td>\n",
 559 |        "      <td>0</td>\n",
 560 |        "      <td>GAME ACTION</td>\n",
 561 |        "      <td>541833</td>\n",
 562 |        "      <td>91851</td>\n",
 563 |        "      <td>33669</td>\n",
 564 |        "      <td>12216</td>\n",
 565 |        "      <td>48055</td>\n",
 566 |        "      <td>False</td>\n",
 567 |        "    </tr>\n",
 568 |        "    <tr>\n",
 569 |        "      <th>98</th>\n",
 570 |        "      <td>99</td>\n",
 571 |        "      <td>Lara Croft: Relic Run</td>\n",
 572 |        "      <td>10.0 M</td>\n",
 573 |        "      <td>4</td>\n",
 574 |        "      <td>0.2</td>\n",
 575 |        "      <td>0.5</td>\n",
 576 |        "      <td>0</td>\n",
 577 |        "      <td>GAME ACTION</td>\n",
 578 |        "      <td>445276</td>\n",
 579 |        "      <td>83143</td>\n",
 580 |        "      <td>55372</td>\n",
 581 |        "      <td>35836</td>\n",
 582 |        "      <td>99275</td>\n",
 583 |        "      <td>False</td>\n",
 584 |        "    </tr>\n",
 585 |        "    <tr>\n",
 586 |        "      <th>99</th>\n",
 587 |        "      <td>100</td>\n",
 588 |        "      <td>WWE Mayhem</td>\n",
 589 |        "      <td>10.0 M</td>\n",
 590 |        "      <td>4</td>\n",
 591 |        "      <td>0.6</td>\n",
 592 |        "      <td>1.3</td>\n",
 593 |        "      <td>0</td>\n",
 594 |        "      <td>GAME ACTION</td>\n",
 595 |        "      <td>519090</td>\n",
 596 |        "      <td>68518</td>\n",
 597 |        "      <td>34658</td>\n",
 598 |        "      <td>17634</td>\n",
 599 |        "      <td>63612</td>\n",
 600 |        "      <td>False</td>\n",
 601 |        "    </tr>\n",
 602 |        "  </tbody>\n",
 603 |        "</table>\n",
 604 |        "<p>100 rows × 14 columns</p>\n",
 605 |        "</div>"
 606 |       ],
 607 |       "text/plain": [
 608 |        "    rank                                              title installs  \\\n",
 609 |        "0      1                     Garena Free Fire- World Series  500.0 M   \n",
 610 |        "1      2                             PUBG MOBILE - Traverse  500.0 M   \n",
 611 |        "2      3                          Mobile Legends: Bang Bang  100.0 M   \n",
 612 |        "3      4                                        Brawl Stars  100.0 M   \n",
 613 |        "4      5       Sniper 3D: Fun Free Online FPS Shooting Game  500.0 M   \n",
 614 |        "..   ...                                                ...      ...   \n",
 615 |        "95    96                                       Bullet Force   10.0 M   \n",
 616 |        "96    97                                SHADOWGUN: DEADZONE   10.0 M   \n",
 617 |        "97    98  Royal Revolt 2: Tower Defense RTS & Castle Bui...   10.0 M   \n",
 618 |        "98    99                              Lara Croft: Relic Run   10.0 M   \n",
 619 |        "99   100                                         WWE Mayhem   10.0 M   \n",
 620 |        "\n",
 621 |        "    average rating  growth (30 days)  growth (60 days)  price     category  \\\n",
 622 |        "0                4               2.1               6.9      0  GAME ACTION   \n",
 623 |        "1                4               1.8               3.6      0  GAME ACTION   \n",
 624 |        "2                4               1.5               3.2      0  GAME ACTION   \n",
 625 |        "3                4               1.4               4.4      0  GAME ACTION   \n",
 626 |        "4                4               0.8               1.5      0  GAME ACTION   \n",
 627 |        "..             ...               ...               ...    ...          ...   \n",
 628 |        "95               3               0.1               0.1      0  GAME ACTION   \n",
 629 |        "96               4               0.1               0.3      0  GAME ACTION   \n",
 630 |        "97               4               0.1               0.1      0  GAME ACTION   \n",
 631 |        "98               4               0.2               0.5      0  GAME ACTION   \n",
 632 |        "99               4               0.6               1.3      0  GAME ACTION   \n",
 633 |        "\n",
 634 |        "    5 star ratings  4 star ratings  3 star ratings  2 star ratings  \\\n",
 635 |        "0         63546766         4949507         3158756         2122183   \n",
 636 |        "1         28339753         2164478         1253185          809821   \n",
 637 |        "2         18777988         1812094         1050600          713912   \n",
 638 |        "3         13018610         1552950          774012          406184   \n",
 639 |        "4          9827328         2124154         1047741          380670   \n",
 640 |        "..             ...             ...             ...             ...   \n",
 641 |        "95          434187           90078           58506           35311   \n",
 642 |        "96          554163           80239           38183           14231   \n",
 643 |        "97          541833           91851           33669           12216   \n",
 644 |        "98          445276           83143           55372           35836   \n",
 645 |        "99          519090           68518           34658           17634   \n",
 646 |        "\n",
 647 |        "    1 star ratings   paid  \n",
 648 |        "0         12495915  False  \n",
 649 |        "1          4709492  False  \n",
 650 |        "2          4308998  False  \n",
 651 |        "3          2219794  False  \n",
 652 |        "4          1084340  False  \n",
 653 |        "..             ...    ...  \n",
 654 |        "95          137917  False  \n",
 655 |        "96           62125  False  \n",
 656 |        "97           48055  False  \n",
 657 |        "98           99275  False  \n",
 658 |        "99           63612  False  \n",
 659 |        "\n",
 660 |        "[100 rows x 14 columns]"
 661 |       ]
 662 |      },
 663 |      "execution_count": 24,
 664 |      "metadata": {},
 665 |      "output_type": "execute_result"
 666 |     }
 667 |    ],
 668 |    "source": [
 669 |     "X"
 670 |    ]
 671 |   },
 672 |   {
 673 |    "cell_type": "code",
 674 |    "execution_count": 25,
 675 |    "id": "ef6c9d55",
 676 |    "metadata": {},
 677 |    "outputs": [],
 678 |    "source": [
 679 |     "y = data['total ratings']\n",
 680 |     "y"
 681 |    ]
 682 |   },
 683 |   {
 684 |    "cell_type": "code",
 685 |    "execution_count": 26,
 686 |    "id": "5066d69f",
 687 |    "metadata": {},
 688 |    "outputs": [
 689 |     {
 690 |      "data": {
 691 |       "text/plain": [
 692 |        "0     86273129\n",
 693 |        "1     37276732\n",
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 696 |        "4     14464235\n",
 697 |        "        ...   \n",
 698 |        "95      756002\n",
 699 |        "96      748945\n",
 700 |        "97      727627\n",
 701 |        "98      718905\n",
 702 |        "99      703514\n",
 703 |        "Name: total ratings, Length: 100, dtype: int64"
 704 |       ]
 705 |      },
 706 |      "execution_count": 26,
 707 |      "metadata": {},
 708 |      "output_type": "execute_result"
 709 |     }
 710 |    ],
 711 |    "source": [
 712 |     "y"
 713 |    ]
 714 |   },
 715 |   {
 716 |    "cell_type": "code",
 717 |    "execution_count": 27,
 718 |    "id": "b381de5b",
 719 |    "metadata": {},
 720 |    "outputs": [
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 911 |        "      <th>95</th>\n",
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 973 |        "      <td>0</td>\n",
 974 |        "      <td>0</td>\n",
 975 |        "      <td>0</td>\n",
 976 |        "      <td>0</td>\n",
 977 |        "      <td>0</td>\n",
 978 |        "      <td>0</td>\n",
 979 |        "      <td>0</td>\n",
 980 |        "      <td>1</td>\n",
 981 |        "    </tr>\n",
 982 |        "    <tr>\n",
 983 |        "      <th>98</th>\n",
 984 |        "      <td>99</td>\n",
 985 |        "      <td>718905</td>\n",
 986 |        "      <td>4</td>\n",
 987 |        "      <td>0.2</td>\n",
 988 |        "      <td>0.5</td>\n",
 989 |        "      <td>0</td>\n",
 990 |        "      <td>445276</td>\n",
 991 |        "      <td>83143</td>\n",
 992 |        "      <td>55372</td>\n",
 993 |        "      <td>35836</td>\n",
 994 |        "      <td>...</td>\n",
 995 |        "      <td>0</td>\n",
 996 |        "      <td>0</td>\n",
 997 |        "      <td>0</td>\n",
 998 |        "      <td>0</td>\n",
 999 |        "      <td>0</td>\n",
1000 |        "      <td>0</td>\n",
1001 |        "      <td>0</td>\n",
1002 |        "      <td>0</td>\n",
1003 |        "      <td>0</td>\n",
1004 |        "      <td>1</td>\n",
1005 |        "    </tr>\n",
1006 |        "    <tr>\n",
1007 |        "      <th>99</th>\n",
1008 |        "      <td>100</td>\n",
1009 |        "      <td>703514</td>\n",
1010 |        "      <td>4</td>\n",
1011 |        "      <td>0.6</td>\n",
1012 |        "      <td>1.3</td>\n",
1013 |        "      <td>0</td>\n",
1014 |        "      <td>519090</td>\n",
1015 |        "      <td>68518</td>\n",
1016 |        "      <td>34658</td>\n",
1017 |        "      <td>17634</td>\n",
1018 |        "      <td>...</td>\n",
1019 |        "      <td>0</td>\n",
1020 |        "      <td>0</td>\n",
1021 |        "      <td>0</td>\n",
1022 |        "      <td>1</td>\n",
1023 |        "      <td>0</td>\n",
1024 |        "      <td>0</td>\n",
1025 |        "      <td>0</td>\n",
1026 |        "      <td>0</td>\n",
1027 |        "      <td>0</td>\n",
1028 |        "      <td>1</td>\n",
1029 |        "    </tr>\n",
1030 |        "  </tbody>\n",
1031 |        "</table>\n",
1032 |        "<p>100 rows × 113 columns</p>\n",
1033 |        "</div>"
1034 |       ],
1035 |       "text/plain": [
1036 |        "    rank  total ratings  average rating  growth (30 days)  growth (60 days)  \\\n",
1037 |        "0      1       86273129               4               2.1               6.9   \n",
1038 |        "1      2       37276732               4               1.8               3.6   \n",
1039 |        "2      3       26663595               4               1.5               3.2   \n",
1040 |        "3      4       17971552               4               1.4               4.4   \n",
1041 |        "4      5       14464235               4               0.8               1.5   \n",
1042 |        "..   ...            ...             ...               ...               ...   \n",
1043 |        "95    96         756002               3               0.1               0.1   \n",
1044 |        "96    97         748945               4               0.1               0.3   \n",
1045 |        "97    98         727627               4               0.1               0.1   \n",
1046 |        "98    99         718905               4               0.2               0.5   \n",
1047 |        "99   100         703514               4               0.6               1.3   \n",
1048 |        "\n",
1049 |        "    price  5 star ratings  4 star ratings  3 star ratings  2 star ratings  \\\n",
1050 |        "0       0        63546766         4949507         3158756         2122183   \n",
1051 |        "1       0        28339753         2164478         1253185          809821   \n",
1052 |        "2       0        18777988         1812094         1050600          713912   \n",
1053 |        "3       0        13018610         1552950          774012          406184   \n",
1054 |        "4       0         9827328         2124154         1047741          380670   \n",
1055 |        "..    ...             ...             ...             ...             ...   \n",
1056 |        "95      0          434187           90078           58506           35311   \n",
1057 |        "96      0          554163           80239           38183           14231   \n",
1058 |        "97      0          541833           91851           33669           12216   \n",
1059 |        "98      0          445276           83143           55372           35836   \n",
1060 |        "99      0          519090           68518           34658           17634   \n",
1061 |        "\n",
1062 |        "    ...  title_Temple Run 2  title_Tomb of the Mask  title_Vector 2  \\\n",
1063 |        "0   ...                   0                       0               0   \n",
1064 |        "1   ...                   0                       0               0   \n",
1065 |        "2   ...                   0                       0               0   \n",
1066 |        "3   ...                   0                       0               0   \n",
1067 |        "4   ...                   0                       0               0   \n",
1068 |        "..  ...                 ...                     ...             ...   \n",
1069 |        "95  ...                   0                       0               0   \n",
1070 |        "96  ...                   0                       0               0   \n",
1071 |        "97  ...                   0                       0               0   \n",
1072 |        "98  ...                   0                       0               0   \n",
1073 |        "99  ...                   0                       0               0   \n",
1074 |        "\n",
1075 |        "    title_WWE Mayhem  title_War Machines: Tank Battle - Army & Military Games  \\\n",
1076 |        "0                  0                                                  0         \n",
1077 |        "1                  0                                                  0         \n",
1078 |        "2                  0                                                  0         \n",
1079 |        "3                  0                                                  0         \n",
1080 |        "4                  0                                                  0         \n",
1081 |        "..               ...                                                ...         \n",
1082 |        "95                 0                                                  0         \n",
1083 |        "96                 0                                                  0         \n",
1084 |        "97                 0                                                  0         \n",
1085 |        "98                 0                                                  0         \n",
1086 |        "99                 1                                                  0         \n",
1087 |        "\n",
1088 |        "    title_War Robots. 6v6 Tactical Multiplayer Battles  \\\n",
1089 |        "0                                                   0    \n",
1090 |        "1                                                   0    \n",
1091 |        "2                                                   0    \n",
1092 |        "3                                                   0    \n",
1093 |        "4                                                   0    \n",
1094 |        "..                                                ...    \n",
1095 |        "95                                                  0    \n",
1096 |        "96                                                  0    \n",
1097 |        "97                                                  0    \n",
1098 |        "98                                                  0    \n",
1099 |        "99                                                  0    \n",
1100 |        "\n",
1101 |        "    title_Worms Zone .io - Voracious Snake  \\\n",
1102 |        "0                                        0   \n",
1103 |        "1                                        0   \n",
1104 |        "2                                        0   \n",
1105 |        "3                                        0   \n",
1106 |        "4                                        0   \n",
1107 |        "..                                     ...   \n",
1108 |        "95                                       0   \n",
1109 |        "96                                       0   \n",
1110 |        "97                                       0   \n",
1111 |        "98                                       0   \n",
1112 |        "99                                       0   \n",
1113 |        "\n",
1114 |        "    title_Zombie Catchers - love the hunt!  title_aquapark.io  \\\n",
1115 |        "0                                        0                  0   \n",
1116 |        "1                                        0                  0   \n",
1117 |        "2                                        0                  0   \n",
1118 |        "3                                        0                  0   \n",
1119 |        "4                                        0                  0   \n",
1120 |        "..                                     ...                ...   \n",
1121 |        "95                                       0                  0   \n",
1122 |        "96                                       0                  0   \n",
1123 |        "97                                       0                  0   \n",
1124 |        "98                                       0                  0   \n",
1125 |        "99                                       0                  0   \n",
1126 |        "\n",
1127 |        "    category_GAME ACTION  \n",
1128 |        "0                      1  \n",
1129 |        "1                      1  \n",
1130 |        "2                      1  \n",
1131 |        "3                      1  \n",
1132 |        "4                      1  \n",
1133 |        "..                   ...  \n",
1134 |        "95                     1  \n",
1135 |        "96                     1  \n",
1136 |        "97                     1  \n",
1137 |        "98                     1  \n",
1138 |        "99                     1  \n",
1139 |        "\n",
1140 |        "[100 rows x 113 columns]"
1141 |       ]
1142 |      },
1143 |      "execution_count": 27,
1144 |      "metadata": {},
1145 |      "output_type": "execute_result"
1146 |     }
1147 |    ],
1148 |    "source": [
1149 |     "dummi=u.get_dummies(data.drop(\"installs\", axis=1))\n",
1150 |     "dummi"
1151 |    ]
1152 |   },
1153 |   {
1154 |    "cell_type": "code",
1155 |    "execution_count": 28,
1156 |    "id": "4b9b1986",
1157 |    "metadata": {},
1158 |    "outputs": [],
1159 |    "source": [
1160 |     "X = u.get_dummies(data.drop(\"installs\", axis=1), drop_first=True)\n",
1161 |     "y = data[\"installs\"]"
1162 |    ]
1163 |   },
1164 |   {
1165 |    "cell_type": "code",
1166 |    "execution_count": 29,
1167 |    "id": "32c9c9ab",
1168 |    "metadata": {},
1169 |    "outputs": [
1170 |     {
1171 |      "data": {
1172 |       "text/plain": [
1173 |        "0     500.0 M\n",
1174 |        "1     500.0 M\n",
1175 |        "2     100.0 M\n",
1176 |        "3     100.0 M\n",
1177 |        "4     500.0 M\n",
1178 |        "       ...   \n",
1179 |        "95     10.0 M\n",
1180 |        "96     10.0 M\n",
1181 |        "97     10.0 M\n",
1182 |        "98     10.0 M\n",
1183 |        "99     10.0 M\n",
1184 |        "Name: installs, Length: 100, dtype: object"
1185 |       ]
1186 |      },
1187 |      "execution_count": 29,
1188 |      "metadata": {},
1189 |      "output_type": "execute_result"
1190 |     }
1191 |    ],
1192 |    "source": [
1193 |     "y"
1194 |    ]
1195 |   },
1196 |   {
1197 |    "cell_type": "code",
1198 |    "execution_count": 30,
1199 |    "id": "512bdea4",
1200 |    "metadata": {},
1201 |    "outputs": [],
1202 |    "source": [
1203 |     "from sklearn.tree import DecisionTreeClassifier\n",
1204 |     "model = DecisionTreeClassifier()\n"
1205 |    ]
1206 |   },
1207 |   {
1208 |    "cell_type": "code",
1209 |    "execution_count": 31,
1210 |    "id": "c9c6517a",
1211 |    "metadata": {},
1212 |    "outputs": [
1213 |     {
1214 |      "data": {
1215 |       "text/plain": [
1216 |        "DecisionTreeClassifier()"
1217 |       ]
1218 |      },
1219 |      "execution_count": 31,
1220 |      "metadata": {},
1221 |      "output_type": "execute_result"
1222 |     }
1223 |    ],
1224 |    "source": [
1225 |     "model.fit(X, y)\n"
1226 |    ]
1227 |   },
1228 |   {
1229 |    "cell_type": "code",
1230 |    "execution_count": 32,
1231 |    "id": "97a214d4",
1232 |    "metadata": {},
1233 |    "outputs": [
1234 |     {
1235 |      "data": {
1236 |       "text/plain": [
1237 |        "array(['500.0 M', '500.0 M', '100.0 M', '100.0 M', '500.0 M', '100.0 M',\n",
1238 |        "       '100.0 M', '500.0 M', '100.0 M', '100.0 M', '100.0 M', '100.0 M',\n",
1239 |        "       '50.0 M', '100.0 M', '50.0 M', '100.0 M', '100.0 M', '50.0 M',\n",
1240 |        "       '50.0 M', '50.0 M', '100.0 M', '100.0 M', '100.0 M', '100.0 M',\n",
1241 |        "       '100.0 M', '50.0 M', '100.0 M', '10.0 M', '50.0 M', '10.0 M',\n",
1242 |        "       '100.0 M', '50.0 M', '50.0 M', '50.0 M', '10.0 M', '100.0 M',\n",
1243 |        "       '10.0 M', '100.0 M', '10.0 M', '50.0 M', '50.0 M', '100.0 M',\n",
1244 |        "       '50.0 M', '100.0 M', '50.0 M', '10.0 M', '50.0 M', '10.0 M',\n",
1245 |        "       '10.0 M', '100.0 M', '100.0 M', '50.0 M', '50.0 M', '10.0 M',\n",
1246 |        "       '100.0 M', '100.0 M', '100.0 M', '50.0 M', '50.0 M', '100.0 M',\n",
1247 |        "       '10.0 M', '100.0 M', '50.0 M', '10.0 M', '50.0 M', '50.0 M',\n",
1248 |        "       '100.0 M', '10.0 M', '50.0 M', '10.0 M', '100.0 M', '10.0 M',\n",
1249 |        "       '50.0 M', '10.0 M', '100.0 M', '10.0 M', '100.0 M', '10.0 M',\n",
1250 |        "       '10.0 M', '10.0 M', '10.0 M', '100.0 M', '100.0 M', '10.0 M',\n",
1251 |        "       '10.0 M', '10.0 M', '100.0 M', '10.0 M', '10.0 M', '50.0 M',\n",
1252 |        "       '100.0 M', '50.0 M', '50.0 M', '50.0 M', '10.0 M', '10.0 M',\n",
1253 |        "       '10.0 M', '10.0 M', '10.0 M', '10.0 M'], dtype=object)"
1254 |       ]
1255 |      },
1256 |      "execution_count": 32,
1257 |      "metadata": {},
1258 |      "output_type": "execute_result"
1259 |     }
1260 |    ],
1261 |    "source": [
1262 |     "pred = model.predict(X)\n",
1263 |     "pred"
1264 |    ]
1265 |   },
1266 |   {
1267 |    "cell_type": "code",
1268 |    "execution_count": 33,
1269 |    "id": "3772308f",
1270 |    "metadata": {},
1271 |    "outputs": [
1272 |     {
1273 |      "data": {
1274 |       "image/png": 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\n",
1275 |       "text/plain": [
1276 |        "<Figure size 432x288 with 1 Axes>"
1277 |       ]
1278 |      },
1279 |      "metadata": {
1280 |       "needs_background": "light"
1281 |      },
1282 |      "output_type": "display_data"
1283 |     }
1284 |    ],
1285 |    "source": [
1286 |     "from sklearn.tree import plot_tree\n",
1287 |     "plot_tree(model, feature_names=X.columns, filled=True);"
1288 |    ]
1289 |   },
1290 |   {
1291 |    "cell_type": "code",
1292 |    "execution_count": 34,
1293 |    "id": "1dd1f5c3",
1294 |    "metadata": {},
1295 |    "outputs": [
1296 |     {
1297 |      "data": {
1298 |       "text/html": [
1299 |        "<div>\n",
1300 |        "<style scoped>\n",
1301 |        "    .dataframe tbody tr th:only-of-type {\n",
1302 |        "        vertical-align: middle;\n",
1303 |        "    }\n",
1304 |        "\n",
1305 |        "    .dataframe tbody tr th {\n",
1306 |        "        vertical-align: top;\n",
1307 |        "    }\n",
1308 |        "\n",
1309 |        "    .dataframe thead th {\n",
1310 |        "        text-align: right;\n",
1311 |        "    }\n",
1312 |        "</style>\n",
1313 |        "<table border=\"1\" class=\"dataframe\">\n",
1314 |        "  <thead>\n",
1315 |        "    <tr style=\"text-align: right;\">\n",
1316 |        "      <th></th>\n",
1317 |        "      <th>Actual</th>\n",
1318 |        "      <th>Predicted</th>\n",
1319 |        "    </tr>\n",
1320 |        "  </thead>\n",
1321 |        "  <tbody>\n",
1322 |        "    <tr>\n",
1323 |        "      <th>0</th>\n",
1324 |        "      <td>500.0 M</td>\n",
1325 |        "      <td>500.0 M</td>\n",
1326 |        "    </tr>\n",
1327 |        "    <tr>\n",
1328 |        "      <th>1</th>\n",
1329 |        "      <td>500.0 M</td>\n",
1330 |        "      <td>500.0 M</td>\n",
1331 |        "    </tr>\n",
1332 |        "    <tr>\n",
1333 |        "      <th>2</th>\n",
1334 |        "      <td>100.0 M</td>\n",
1335 |        "      <td>100.0 M</td>\n",
1336 |        "    </tr>\n",
1337 |        "    <tr>\n",
1338 |        "      <th>3</th>\n",
1339 |        "      <td>100.0 M</td>\n",
1340 |        "      <td>100.0 M</td>\n",
1341 |        "    </tr>\n",
1342 |        "    <tr>\n",
1343 |        "      <th>4</th>\n",
1344 |        "      <td>500.0 M</td>\n",
1345 |        "      <td>500.0 M</td>\n",
1346 |        "    </tr>\n",
1347 |        "    <tr>\n",
1348 |        "      <th>...</th>\n",
1349 |        "      <td>...</td>\n",
1350 |        "      <td>...</td>\n",
1351 |        "    </tr>\n",
1352 |        "    <tr>\n",
1353 |        "      <th>95</th>\n",
1354 |        "      <td>10.0 M</td>\n",
1355 |        "      <td>10.0 M</td>\n",
1356 |        "    </tr>\n",
1357 |        "    <tr>\n",
1358 |        "      <th>96</th>\n",
1359 |        "      <td>10.0 M</td>\n",
1360 |        "      <td>10.0 M</td>\n",
1361 |        "    </tr>\n",
1362 |        "    <tr>\n",
1363 |        "      <th>97</th>\n",
1364 |        "      <td>10.0 M</td>\n",
1365 |        "      <td>10.0 M</td>\n",
1366 |        "    </tr>\n",
1367 |        "    <tr>\n",
1368 |        "      <th>98</th>\n",
1369 |        "      <td>10.0 M</td>\n",
1370 |        "      <td>10.0 M</td>\n",
1371 |        "    </tr>\n",
1372 |        "    <tr>\n",
1373 |        "      <th>99</th>\n",
1374 |        "      <td>10.0 M</td>\n",
1375 |        "      <td>10.0 M</td>\n",
1376 |        "    </tr>\n",
1377 |        "  </tbody>\n",
1378 |        "</table>\n",
1379 |        "<p>100 rows × 2 columns</p>\n",
1380 |        "</div>"
1381 |       ],
1382 |       "text/plain": [
1383 |        "     Actual Predicted\n",
1384 |        "0   500.0 M   500.0 M\n",
1385 |        "1   500.0 M   500.0 M\n",
1386 |        "2   100.0 M   100.0 M\n",
1387 |        "3   100.0 M   100.0 M\n",
1388 |        "4   500.0 M   500.0 M\n",
1389 |        "..      ...       ...\n",
1390 |        "95   10.0 M    10.0 M\n",
1391 |        "96   10.0 M    10.0 M\n",
1392 |        "97   10.0 M    10.0 M\n",
1393 |        "98   10.0 M    10.0 M\n",
1394 |        "99   10.0 M    10.0 M\n",
1395 |        "\n",
1396 |        "[100 rows x 2 columns]"
1397 |       ]
1398 |      },
1399 |      "execution_count": 34,
1400 |      "metadata": {},
1401 |      "output_type": "execute_result"
1402 |     }
1403 |    ],
1404 |    "source": [
1405 |     "pred= model.predict(X)\n",
1406 |     "df =u.DataFrame({'Actual': y, 'Predicted':pred})\n",
1407 |     "df"
1408 |    ]
1409 |   },
1410 |   {
1411 |    "cell_type": "code",
1412 |    "execution_count": 35,
1413 |    "id": "b18e0b66",
1414 |    "metadata": {},
1415 |    "outputs": [
1416 |     {
1417 |      "name": "stdout",
1418 |      "output_type": "stream",
1419 |      "text": [
1420 |       "[[31  0  0  0]\n",
1421 |       " [ 0 37  0  0]\n",
1422 |       " [ 0  0 28  0]\n",
1423 |       " [ 0  0  0  4]]\n"
1424 |      ]
1425 |     }
1426 |    ],
1427 |    "source": [
1428 |     "from sklearn.metrics import classification_report, confusion_matrix\n",
1429 |     "print(confusion_matrix(y, pred))"
1430 |    ]
1431 |   },
1432 |   {
1433 |    "cell_type": "code",
1434 |    "execution_count": 36,
1435 |    "id": "84f0bf7c",
1436 |    "metadata": {},
1437 |    "outputs": [
1438 |     {
1439 |      "name": "stdout",
1440 |      "output_type": "stream",
1441 |      "text": [
1442 |       "              precision    recall  f1-score   support\n",
1443 |       "\n",
1444 |       "      10.0 M       1.00      1.00      1.00        31\n",
1445 |       "     100.0 M       1.00      1.00      1.00        37\n",
1446 |       "      50.0 M       1.00      1.00      1.00        28\n",
1447 |       "     500.0 M       1.00      1.00      1.00         4\n",
1448 |       "\n",
1449 |       "    accuracy                           1.00       100\n",
1450 |       "   macro avg       1.00      1.00      1.00       100\n",
1451 |       "weighted avg       1.00      1.00      1.00       100\n",
1452 |       "\n"
1453 |      ]
1454 |     }
1455 |    ],
1456 |    "source": [
1457 |     "print(classification_report(y, pred))"
1458 |    ]
1459 |   }
1460 |  ],
1461 |  "metadata": {
1462 |   "kernelspec": {
1463 |    "display_name": "Python 3 (ipykernel)",
1464 |    "language": "python",
1465 |    "name": "python3"
1466 |   },
1467 |   "language_info": {
1468 |    "codemirror_mode": {
1469 |     "name": "ipython",
1470 |     "version": 3
1471 |    },
1472 |    "file_extension": ".py",
1473 |    "mimetype": "text/x-python",
1474 |    "name": "python",
1475 |    "nbconvert_exporter": "python",
1476 |    "pygments_lexer": "ipython3",
1477 |    "version": "3.9.12"
1478 |   }
1479 |  },
1480 |  "nbformat": 4,
1481 |  "nbformat_minor": 5
1482 | }
1483 | 


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