Mobile-Price-Classification/mobile-price-classification.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2e100b73",
   "metadata": {},
   "source": [
    "### Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6b6a2b29",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4046d42b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split,GridSearchCV\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn import tree\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import confusion_matrix,classification_report,ConfusionMatrixDisplay\n",
    "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score\n",
    "from sklearn.model_selection import KFold,StratifiedKFold\n",
    "from sklearn.model_selection import cross_val_score, cross_validate"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f41f56f",
   "metadata": {},
   "source": [
    "### Loading the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9735db74",
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv('./dataset/train.csv')\n",
    "test = pd.read_csv('./dataset/test.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1bc194cb",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>battery_power</th>\n",
       "      <th>blue</th>\n",
       "      <th>clock_speed</th>\n",
       "      <th>dual_sim</th>\n",
       "      <th>fc</th>\n",
       "      <th>four_g</th>\n",
       "      <th>int_memory</th>\n",
       "      <th>m_dep</th>\n",
       "      <th>mobile_wt</th>\n",
       "      <th>n_cores</th>\n",
       "      <th>...</th>\n",
       "      <th>px_height</th>\n",
       "      <th>px_width</th>\n",
       "      <th>ram</th>\n",
       "      <th>sc_h</th>\n",
       "      <th>sc_w</th>\n",
       "      <th>talk_time</th>\n",
       "      <th>three_g</th>\n",
       "      <th>touch_screen</th>\n",
       "      <th>wifi</th>\n",
       "      <th>price_range</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>842</td>\n",
       "      <td>0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0.6</td>\n",
       "      <td>188</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>20</td>\n",
       "      <td>756</td>\n",
       "      <td>2549</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1021</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>53</td>\n",
       "      <td>0.7</td>\n",
       "      <td>136</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>905</td>\n",
       "      <td>1988</td>\n",
       "      <td>2631</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>563</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>41</td>\n",
       "      <td>0.9</td>\n",
       "      <td>145</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>1263</td>\n",
       "      <td>1716</td>\n",
       "      <td>2603</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>615</td>\n",
       "      <td>1</td>\n",
       "      <td>2.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0.8</td>\n",
       "      <td>131</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>1216</td>\n",
       "      <td>1786</td>\n",
       "      <td>2769</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1821</td>\n",
       "      <td>1</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>44</td>\n",
       "      <td>0.6</td>\n",
       "      <td>141</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>1208</td>\n",
       "      <td>1212</td>\n",
       "      <td>1411</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   battery_power  blue  clock_speed  dual_sim  fc  four_g  int_memory  m_dep  \\\n",
       "0            842     0          2.2         0   1       0           7    0.6   \n",
       "1           1021     1          0.5         1   0       1          53    0.7   \n",
       "2            563     1          0.5         1   2       1          41    0.9   \n",
       "3            615     1          2.5         0   0       0          10    0.8   \n",
       "4           1821     1          1.2         0  13       1          44    0.6   \n",
       "\n",
       "   mobile_wt  n_cores  ...  px_height  px_width   ram  sc_h  sc_w  talk_time  \\\n",
       "0        188        2  ...         20       756  2549     9     7         19   \n",
       "1        136        3  ...        905      1988  2631    17     3          7   \n",
       "2        145        5  ...       1263      1716  2603    11     2          9   \n",
       "3        131        6  ...       1216      1786  2769    16     8         11   \n",
       "4        141        2  ...       1208      1212  1411     8     2         15   \n",
       "\n",
       "   three_g  touch_screen  wifi  price_range  \n",
       "0        0             0     1            1  \n",
       "1        1             1     0            2  \n",
       "2        1             1     0            2  \n",
       "3        1             0     0            2  \n",
       "4        1             1     0            1  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a7dd79e5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training Set:  (2000, 21)\n",
      "Testing Set:  (1000, 21)\n"
     ]
    }
   ],
   "source": [
    "print(\"Training Set: \",train.shape)\n",
    "print(\"Testing Set: \",test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9245d2b6",
   "metadata": {},
   "source": [
    "### EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4b1bc4c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>battery_power</th>\n",
       "      <th>blue</th>\n",
       "      <th>clock_speed</th>\n",
       "      <th>dual_sim</th>\n",
       "      <th>fc</th>\n",
       "      <th>four_g</th>\n",
       "      <th>int_memory</th>\n",
       "      <th>m_dep</th>\n",
       "      <th>mobile_wt</th>\n",
       "      <th>n_cores</th>\n",
       "      <th>...</th>\n",
       "      <th>px_height</th>\n",
       "      <th>px_width</th>\n",
       "      <th>ram</th>\n",
       "      <th>sc_h</th>\n",
       "      <th>sc_w</th>\n",
       "      <th>talk_time</th>\n",
       "      <th>three_g</th>\n",
       "      <th>touch_screen</th>\n",
       "      <th>wifi</th>\n",
       "      <th>price_range</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.0000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1238.518500</td>\n",
       "      <td>0.4950</td>\n",
       "      <td>1.522250</td>\n",
       "      <td>0.509500</td>\n",
       "      <td>4.309500</td>\n",
       "      <td>0.521500</td>\n",
       "      <td>32.046500</td>\n",
       "      <td>0.501750</td>\n",
       "      <td>140.249000</td>\n",
       "      <td>4.520500</td>\n",
       "      <td>...</td>\n",
       "      <td>645.108000</td>\n",
       "      <td>1251.515500</td>\n",
       "      <td>2124.213000</td>\n",
       "      <td>12.306500</td>\n",
       "      <td>5.767000</td>\n",
       "      <td>11.011000</td>\n",
       "      <td>0.761500</td>\n",
       "      <td>0.503000</td>\n",
       "      <td>0.507000</td>\n",
       "      <td>1.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>439.418206</td>\n",
       "      <td>0.5001</td>\n",
       "      <td>0.816004</td>\n",
       "      <td>0.500035</td>\n",
       "      <td>4.341444</td>\n",
       "      <td>0.499662</td>\n",
       "      <td>18.145715</td>\n",
       "      <td>0.288416</td>\n",
       "      <td>35.399655</td>\n",
       "      <td>2.287837</td>\n",
       "      <td>...</td>\n",
       "      <td>443.780811</td>\n",
       "      <td>432.199447</td>\n",
       "      <td>1084.732044</td>\n",
       "      <td>4.213245</td>\n",
       "      <td>4.356398</td>\n",
       "      <td>5.463955</td>\n",
       "      <td>0.426273</td>\n",
       "      <td>0.500116</td>\n",
       "      <td>0.500076</td>\n",
       "      <td>1.118314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>501.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>256.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>851.750000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>109.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>282.750000</td>\n",
       "      <td>874.750000</td>\n",
       "      <td>1207.500000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1226.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>141.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>564.000000</td>\n",
       "      <td>1247.000000</td>\n",
       "      <td>2146.500000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1615.250000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>2.200000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>170.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>947.250000</td>\n",
       "      <td>1633.000000</td>\n",
       "      <td>3064.500000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1998.000000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1960.000000</td>\n",
       "      <td>1998.000000</td>\n",
       "      <td>3998.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       battery_power       blue  clock_speed     dual_sim           fc  \\\n",
       "count    2000.000000  2000.0000  2000.000000  2000.000000  2000.000000   \n",
       "mean     1238.518500     0.4950     1.522250     0.509500     4.309500   \n",
       "std       439.418206     0.5001     0.816004     0.500035     4.341444   \n",
       "min       501.000000     0.0000     0.500000     0.000000     0.000000   \n",
       "25%       851.750000     0.0000     0.700000     0.000000     1.000000   \n",
       "50%      1226.000000     0.0000     1.500000     1.000000     3.000000   \n",
       "75%      1615.250000     1.0000     2.200000     1.000000     7.000000   \n",
       "max      1998.000000     1.0000     3.000000     1.000000    19.000000   \n",
       "\n",
       "            four_g   int_memory        m_dep    mobile_wt      n_cores  ...  \\\n",
       "count  2000.000000  2000.000000  2000.000000  2000.000000  2000.000000  ...   \n",
       "mean      0.521500    32.046500     0.501750   140.249000     4.520500  ...   \n",
       "std       0.499662    18.145715     0.288416    35.399655     2.287837  ...   \n",
       "min       0.000000     2.000000     0.100000    80.000000     1.000000  ...   \n",
       "25%       0.000000    16.000000     0.200000   109.000000     3.000000  ...   \n",
       "50%       1.000000    32.000000     0.500000   141.000000     4.000000  ...   \n",
       "75%       1.000000    48.000000     0.800000   170.000000     7.000000  ...   \n",
       "max       1.000000    64.000000     1.000000   200.000000     8.000000  ...   \n",
       "\n",
       "         px_height     px_width          ram         sc_h         sc_w  \\\n",
       "count  2000.000000  2000.000000  2000.000000  2000.000000  2000.000000   \n",
       "mean    645.108000  1251.515500  2124.213000    12.306500     5.767000   \n",
       "std     443.780811   432.199447  1084.732044     4.213245     4.356398   \n",
       "min       0.000000   500.000000   256.000000     5.000000     0.000000   \n",
       "25%     282.750000   874.750000  1207.500000     9.000000     2.000000   \n",
       "50%     564.000000  1247.000000  2146.500000    12.000000     5.000000   \n",
       "75%     947.250000  1633.000000  3064.500000    16.000000     9.000000   \n",
       "max    1960.000000  1998.000000  3998.000000    19.000000    18.000000   \n",
       "\n",
       "         talk_time      three_g  touch_screen         wifi  price_range  \n",
       "count  2000.000000  2000.000000   2000.000000  2000.000000  2000.000000  \n",
       "mean     11.011000     0.761500      0.503000     0.507000     1.500000  \n",
       "std       5.463955     0.426273      0.500116     0.500076     1.118314  \n",
       "min       2.000000     0.000000      0.000000     0.000000     0.000000  \n",
       "25%       6.000000     1.000000      0.000000     0.000000     0.750000  \n",
       "50%      11.000000     1.000000      1.000000     1.000000     1.500000  \n",
       "75%      16.000000     1.000000      1.000000     1.000000     2.250000  \n",
       "max      20.000000     1.000000      1.000000     1.000000     3.000000  \n",
       "\n",
       "[8 rows x 21 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "42bea5aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "battery_power      int64\n",
       "blue               int64\n",
       "clock_speed      float64\n",
       "dual_sim           int64\n",
       "fc                 int64\n",
       "four_g             int64\n",
       "int_memory         int64\n",
       "m_dep            float64\n",
       "mobile_wt          int64\n",
       "n_cores            int64\n",
       "pc                 int64\n",
       "px_height          int64\n",
       "px_width           int64\n",
       "ram                int64\n",
       "sc_h               int64\n",
       "sc_w               int64\n",
       "talk_time          int64\n",
       "three_g            int64\n",
       "touch_screen       int64\n",
       "wifi               int64\n",
       "price_range        int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d2614f6c",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>battery_power</th>\n",
       "      <th>blue</th>\n",
       "      <th>clock_speed</th>\n",
       "      <th>dual_sim</th>\n",
       "      <th>fc</th>\n",
       "      <th>four_g</th>\n",
       "      <th>int_memory</th>\n",
       "      <th>m_dep</th>\n",
       "      <th>mobile_wt</th>\n",
       "      <th>...</th>\n",
       "      <th>pc</th>\n",
       "      <th>px_height</th>\n",
       "      <th>px_width</th>\n",
       "      <th>ram</th>\n",
       "      <th>sc_h</th>\n",
       "      <th>sc_w</th>\n",
       "      <th>talk_time</th>\n",
       "      <th>three_g</th>\n",
       "      <th>touch_screen</th>\n",
       "      <th>wifi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.00000</td>\n",
       "      <td>1000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>500.500000</td>\n",
       "      <td>1248.510000</td>\n",
       "      <td>0.516000</td>\n",
       "      <td>1.540900</td>\n",
       "      <td>0.517000</td>\n",
       "      <td>4.593000</td>\n",
       "      <td>0.487000</td>\n",
       "      <td>33.652000</td>\n",
       "      <td>0.517500</td>\n",
       "      <td>139.51100</td>\n",
       "      <td>...</td>\n",
       "      <td>10.054000</td>\n",
       "      <td>627.121000</td>\n",
       "      <td>1239.774000</td>\n",
       "      <td>2138.998000</td>\n",
       "      <td>11.995000</td>\n",
       "      <td>5.316000</td>\n",
       "      <td>11.085000</td>\n",
       "      <td>0.756000</td>\n",
       "      <td>0.50000</td>\n",
       "      <td>0.507000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>288.819436</td>\n",
       "      <td>432.458227</td>\n",
       "      <td>0.499994</td>\n",
       "      <td>0.829268</td>\n",
       "      <td>0.499961</td>\n",
       "      <td>4.463325</td>\n",
       "      <td>0.500081</td>\n",
       "      <td>18.128694</td>\n",
       "      <td>0.280861</td>\n",
       "      <td>34.85155</td>\n",
       "      <td>...</td>\n",
       "      <td>6.095099</td>\n",
       "      <td>432.929699</td>\n",
       "      <td>439.670981</td>\n",
       "      <td>1088.092278</td>\n",
       "      <td>4.320607</td>\n",
       "      <td>4.240062</td>\n",
       "      <td>5.497636</td>\n",
       "      <td>0.429708</td>\n",
       "      <td>0.50025</td>\n",
       "      <td>0.500201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>80.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>501.000000</td>\n",
       "      <td>263.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>250.750000</td>\n",
       "      <td>895.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>109.75000</td>\n",
       "      <td>...</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>263.750000</td>\n",
       "      <td>831.750000</td>\n",
       "      <td>1237.250000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>6.750000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>500.500000</td>\n",
       "      <td>1246.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>34.500000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>139.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>564.500000</td>\n",
       "      <td>1250.000000</td>\n",
       "      <td>2153.500000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.50000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>750.250000</td>\n",
       "      <td>1629.250000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.300000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>170.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>903.000000</td>\n",
       "      <td>1637.750000</td>\n",
       "      <td>3065.500000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1999.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>200.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1907.000000</td>\n",
       "      <td>1998.000000</td>\n",
       "      <td>3989.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                id  battery_power         blue  clock_speed     dual_sim  \\\n",
       "count  1000.000000    1000.000000  1000.000000  1000.000000  1000.000000   \n",
       "mean    500.500000    1248.510000     0.516000     1.540900     0.517000   \n",
       "std     288.819436     432.458227     0.499994     0.829268     0.499961   \n",
       "min       1.000000     500.000000     0.000000     0.500000     0.000000   \n",
       "25%     250.750000     895.000000     0.000000     0.700000     0.000000   \n",
       "50%     500.500000    1246.500000     1.000000     1.500000     1.000000   \n",
       "75%     750.250000    1629.250000     1.000000     2.300000     1.000000   \n",
       "max    1000.000000    1999.000000     1.000000     3.000000     1.000000   \n",
       "\n",
       "                fc       four_g   int_memory        m_dep   mobile_wt  ...  \\\n",
       "count  1000.000000  1000.000000  1000.000000  1000.000000  1000.00000  ...   \n",
       "mean      4.593000     0.487000    33.652000     0.517500   139.51100  ...   \n",
       "std       4.463325     0.500081    18.128694     0.280861    34.85155  ...   \n",
       "min       0.000000     0.000000     2.000000     0.100000    80.00000  ...   \n",
       "25%       1.000000     0.000000    18.000000     0.300000   109.75000  ...   \n",
       "50%       3.000000     0.000000    34.500000     0.500000   139.00000  ...   \n",
       "75%       7.000000     1.000000    49.000000     0.800000   170.00000  ...   \n",
       "max      19.000000     1.000000    64.000000     1.000000   200.00000  ...   \n",
       "\n",
       "                pc    px_height     px_width          ram         sc_h  \\\n",
       "count  1000.000000  1000.000000  1000.000000  1000.000000  1000.000000   \n",
       "mean     10.054000   627.121000  1239.774000  2138.998000    11.995000   \n",
       "std       6.095099   432.929699   439.670981  1088.092278     4.320607   \n",
       "min       0.000000     0.000000   501.000000   263.000000     5.000000   \n",
       "25%       5.000000   263.750000   831.750000  1237.250000     8.000000   \n",
       "50%      10.000000   564.500000  1250.000000  2153.500000    12.000000   \n",
       "75%      16.000000   903.000000  1637.750000  3065.500000    16.000000   \n",
       "max      20.000000  1907.000000  1998.000000  3989.000000    19.000000   \n",
       "\n",
       "              sc_w    talk_time      three_g  touch_screen         wifi  \n",
       "count  1000.000000  1000.000000  1000.000000    1000.00000  1000.000000  \n",
       "mean      5.316000    11.085000     0.756000       0.50000     0.507000  \n",
       "std       4.240062     5.497636     0.429708       0.50025     0.500201  \n",
       "min       0.000000     2.000000     0.000000       0.00000     0.000000  \n",
       "25%       2.000000     6.750000     1.000000       0.00000     0.000000  \n",
       "50%       5.000000    11.000000     1.000000       0.50000     1.000000  \n",
       "75%       8.000000    16.000000     1.000000       1.00000     1.000000  \n",
       "max      18.000000    20.000000     1.000000       1.00000     1.000000  \n",
       "\n",
       "[8 rows x 21 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "8c0e7e46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 0], dtype=int64)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Finding the target classes\n",
    "train['price_range'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d5e8994c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dropping the id column from the test set\n",
    "\n",
    "test.drop('id',inplace=True,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "169595e5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "# Checking for null values\n",
    "print(train.isnull().values.any())\n",
    "print(test.isnull().values.any())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a308bd3",
   "metadata": {},
   "source": [
    "### Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "93a11a17",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Checking distribution of given train data wrt target classes\n",
    "\n",
    "labels = train[\"price_range\"].value_counts().index\n",
    "sizes = train[\"price_range\"].value_counts()\n",
    "colors = ['green','pink','magenta','cyan']\n",
    "plt.figure(figsize = (8,8))\n",
    "plt.pie(sizes, labels=labels, rotatelabels=False, autopct='%1.1f%%',colors=colors,shadow=True, startangle=90)\n",
    "plt.title('COSTS',color = 'green',fontsize = 15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "6801e305",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x2160 with 25 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use(\"seaborn-darkgrid\")\n",
    "sns.set()\n",
    "\n",
    "train.hist(bins=15, figsize=(30,30), color='teal')\n",
    "plt.title(\"Histogram Plot of the Features\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "1395fa72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 20))\n",
    "sns.heatmap(train.corr(), annot=True)\n",
    "plt.title(\"Heatmap\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "d35c5e8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='price_range', ylabel='ram'>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pointplot(y='ram',x='price_range',data=train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "4dd737a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='price_range', ylabel='battery_power'>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pointplot(x='price_range',y='battery_power',data=train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "cb590f79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='price_range', ylabel='battery_power'>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='price_range',y='battery_power',data=train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "7f767208",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NjDh7sOzX20U0d5i46dU8pg5q5dmr9+OwhvtTVpXF8cTiTII66AreK0nivL6dO2sH9/SxpDSBoB5ubi3ZlsDwXO9hjyndb6PabWFKYTv+oIbFFH4Nk6boCJypP38FJb+L2dpMzPTJbC7dwZBBA9jWrGS3uy7iza9TcLktLClNYEnpN8O8L9+0j7o2CzNf7INJg5F5Hfz64nD79s01yWyudvD45TXcPaGRJxZnMv2vfbFZFIXZPh6aVnvYazz5cSYPTQ/fV5jtJz0+xIz/14e81AATCs7gZLnyN2HE0zHZN6MppQw/USQYDPHsS//LXbfewDsVZuq8xz9GdHbPgHaSSn4G5f+MdlG6p8Kfw/A/gCU+2iU5o2KiubSnYi89sjJoCZgkYET0lL8BmjnapTjjYiJkvlqznrGjz2VDc0ycruiqfA1Q+0W0S3HGGf5T19jsZn9dPXk9symVldYi2na+AIGWaJfijDJ8yJRs3cGIoYMpbQoRlIwR0VZdBMTW5miGDplQKMTKtesZcc4wNktTSXQFegAq3oypTa0M/cmrqKrGYrEQ73SyT66hJLqKXS9BKHZGIAwdMptLdzKksIBdbh2JGNFlNK4Bf+zsWG/YkAmFQmzcup2zhwxhR6thT1N0VxX/jpkmk2E/fdU1dZhMGllpKVS0Sj1GdDGuj2Jme07DhsyO3eUU9s+nvCUoo0qi66lbAebOiz6NyJAho5Ri3eYtDB0ymF1tsTfDUnQDug+a1ke7FGeEIUOmvrGZpuZWcntkUdkm1RjRRVXNh5Av2qWIOEOGTEXVPlKSE8Fkxi2XvxFdlWtJuEZjcIYMmZ1llRT07c2+NtmZSnRhTRsw6EfwMIY7Q6UUu8sr6de3D1Ud0h8jujIFdcZfMGm4kGl2t9Dh9dIrpydVsTFCKLqz2i/CSw0MzHAh46qtx2azkpwQR02HdPqKLs692fBXmjRcyJTvrSI7I4PGjiC6ZIzo6txbwGTsZr3hQmZXWSW5PbNpNH6nvTCCtjLQbNEuRUQZKmR0XaeusZHMzHQa/Mb+dhBGocBTEe1CRJShQqaltQ1dV6SlpdMo82NEd9FUEu0SRJShQqa5pRVN00hJSqLRKx0yoptoKIaQcb8VjRUy7haUrpOS4JQ+GdF9uLdAqPO1vo3CUCHjqq0nOTkJf0gR0KNdGiFOkGdvtEsQUQYLmTrSUpNpl4QR3Ym3FkzWaJciYgwVMo3NblKSEmkPSH+M6EZ8dWC2R7sUEWOoa2G3tbWTGB+PJzZ2NRTdhTkO7OlgS+v0X92RjebsCQo0g14pxTAh4w8E8AcCOBx2OnSD/rZEdJnsYE8DW3qn/yp7JsrRExyZYM8EeyqaLeWb616HfOh6kJCuE9A1fMpCh7LToVvwBBSFyoRR6zKGCRmv14dmMmG32fDpJpDrE4ij0SwHwqFzzSIcFj3AkX0gLNLQbMlgSQgfp3vRQwFCuk5QB//BsFBW2gMKTxBaO6DFreP2g9sHXh3AfuD2XeHtSHolmLAbdP6oYULG5w+gobDbHTTpGhIyMUAzgTXliE0RZc9E2bNRjmw0RybY08NhYU0Kd7KGfCg9QCgUvrKoXzfjVTY8yo4nCO1BRZsXWlvDYdHsB09QB2wHbt/1/fYu8ocURr2ypGFCxu/3Axoms4mQDC51P9bkb4Li22FhS/+mZuHIOlCzSAVrIpidoPtRIT8hPURIVwfCwkqHsuMJabQHFe0BaGlXuP0Ktw9agzpgPXD7ruhsdGbkAVHjhEzA2HtydBuWhCM2Q7Cno9uzwdHjQFiko9lTwzULSxzoQVTIf6DfQuFXJnzKSody4AlpeAKK1iC0NSvcgXBYtPhD6JgB5xEK0s0+tcasxAAGChmlpHl0RuTORKWORDmyD/RbhEMk3G8RD0pH6f4D/RaKgNLwKwse5aBDN+MJKNoC0NqqaG1QNPvB7dMJYgKOdImQbhYWp8jAGWOckBGRt7LBydlpM+hIttIeVHgC0NquaGlWNPvA7Vf4dY3jdXKK2CIhI07Y+kYT6xtBwkKcDEPN+BWiuzJyc8lwIaPrOmbDnZUwOpOBU8ZwH0ef14vDJJ3Aonuxm42bMoYJGbM5PF3S6/PhNMfGiIQwDodBZ/uCgULGYbeBAq/Pj9MsNRnRvRh1SQEYKWQcDhQKr9eH08C/MGE8Jk36ZLoFh82GUircXLIY+DcmDMdphpCBK9+GCRmbzYpJ0/B0dEjIiG7FacHQFyI0TMhomobT6aCltQ2n1YzkjOgukm2aofcMMEzIACQmxOP3B2hp7yDFqDsACcNJs2uG/lI0VMhkZaTj9ftpamkl3W7g35owlGwnWAzc82uokMnJzsLn89Pc1ESq1GREN5HpNNTHsBNDnV1GWgoAbrebdJss4hPdg9Gb9oYKmeSkJDRNo6mlhbQj7ZAoRBdjN2Ho/hgwWMikJCWilKKp2U1GnOxiIbq+dIdm6K03wWAhE+d0YLPZaG330OHzk36kjdaE6EJy4jUshvoUdmao09M0jdye2Xg6vNTU15MTZ/B6qOj2+iZqhh5ZAoOFDED/vr3xeDqo2V9DL6fB66Gi28uJN3bAgAFDplePLDQ0qmtqyYuPdmmEOLokK1gN9wnszHCn2DMrE13p1Dc2EW8zIf2/oqvKS9AMvWbpIMOFTEJ8HGmpKXR4vbhqG+idYPzqqOie8hM1Q++Id5DhQgagsH8+rW3tVFRWUJAo/TKiaypINuTHrxNDnmVB394EgzpllVX0TzIZeid40T31jNPQYuQP05Ah0yc3B5MJWtvaaWn3kCdNJtHFFCZj+PkxBxnyNOOcDvJ759Ha1k5ZeTkDkmKgd010K4PTzJhjpCpjyJABGD64kHZPB2UVexmQFO3SCPGNNHt4N7xYYdiQ6d8nD4D6xiY0PUSWM8oFEuKAAcmxUYM5yLAhk5qSTHZGBp6ODnbs2s3ZqdEukRBhIzJMWA2+lODbDBsyACPOPouW1na27dzFkFSNGJiSILq4nDiNOKPv7fAdhg6ZoYMGoCtFs7uFhqbmmKumiq5nZEbsjCodZOjTTUtJZkB+b9wtbWzdVso5qTIxT0SPzQSFqWZMMTKqdJChQwbg/FEj6PB62VO5lyynRrLsmCeiZHCqhorB2RSGH0jr3zcPh91OR4ePHbvLGJ6Wz/L9Z+71dy1fyJai1w797Pe00d5Yw3V/XUp58VJ2LJtLyO8lvd9gxt/1GGbr4SmodJ01bz5L1frloJlI6tGbcXc+hCMpjbqdJax46SEARv3oV+SNmAjAhnl/Iy4lnYGTrz5zJyqOa3SmCVsMdgwaviZjs1o5b+QwGpub2bR1GyPSNWxn8KwLJs5k5h/nMvOPc5nx+L9xpmQw9rb7qdmxnm0fvcGlD/yDWU8vJOT3seWD1zodv/OzeTTs2crlT7zDrKfmk9SjN8WvPwVAyaKXueDOh5l6/0usf+d5ANrqXbg2rWTApKvO3EmK4+qdoJFoi72AgRgIGYCRZw8mFNJpcrdQsa+akenRKUfJov/BkZTGoIuvZffy9xh62a3YE5LRTCYuuONB+k+Y0emYlNwCzr3p14dqOBn9htBW7wLAbLUR9HkJej2YzFYAvv7n05x746/RYqzd39VN6EFM1mIgBppLAJnpaQweWMDu8krWbShh5rQc1tQrgmewfextaWJL0f9y+RNvA+B2lZPhHsrHT9yFp6mW7EGjOPeG/9PpuKyB5xz6t6/NzYa5L1J48bUAnHPl3Xz10iPooSCjb55N9aaVWB1xZBacfUbOSZyYnDiN7DhztIsRNTFRkwGYNG4MPr+fhqZm9tfWMjz9zH6rbP/kHXqPmkRiVi4AeihI9aaVXPSLZ5jxh7fxtblZ99ZzRz2+ZX8lHzzyY7IHjeCsH/wIgJTc/kx75DUu+/2/yOw/lHVvP8+oH/2SHcvmsvRP/8lX/3iEUMB/Rs5PHN2EHrGxA97RxMyp9+qRTf/83jQ1t7B2/UbOy1ScyUmXZSs/YsBFVxz6OS41iz6jp2CLS8BssdJ//GXU7th4xGNdW4opevAmCiZezgV3PHTEptCWD/9Jvwt+iMXuZMsHrzHl3jnEp/dg9xfvReqUxAnIdkKvBHNMN19jJmQ0TWPKuLF0eL3U1DfQ1NTEsLQz89q+NjetNXsPa/r0Pe8Syld9TNDvRSlF5ZplZPQf2unYmu3rWfbML5hwzx84e8ZtR3x+T1MdlV9/wqCp16N0HaUUaBqaZiLo90bqtMQJGJ9t/EueHE9M9Mkc1DevF3m9etLY1Mzqr9cy7QeXsLVJ4Y/wHL2WmkqcKRmYLNZD9w2aej2+NjeLfnstStdJzz+LC+6YDUDpkreo37OF8Xc9yoZ3/4pSirVvPsvaN58FICGrF1N+/U3Tas0bzzDyup9jMluwxSXQ59zJLJg9C0dyGpN/9WxkT04cVa94jT5JsTf57rs0pWJretDOsgpe/tdcevXM4pKLJtDgyOGLmmiXShjRbQM1suNj6nv8iGKuIlfQtzcF+b1pbHazas06RmbILGBx+g1O1Ui2x9zH64hi7l3QNI1pUybi9fpwt7axcfNWJveIqcqciDCbCabkaDhivTPmgJh8F3KyszhvxDDq6htZv3kL2fYQfRNju90sTp/x2cTUfjHHE5MhAzBlwvlYzGbaPV6+XLmaS3upmJ7LIE6PLCeck2HGJrWYQ2L2nUhMiOfSyRNpaGyivGofrupqLpJmk/gezBpcnhd7+8UcT0y/HecOG0JuTg8am918sWo1AxJ1aTaJUzY+WxFnAZMppj9WncT0u2GxmLl6+lR8Pj9t7R4+/WIF03IVMiggTlZuvMaIDDNxduvxHxxjYv7jlJ2ZwbQpE6mta6Ryn4uKikouzpFmkzhxVhNclgd2aScdkbwrwNiRw8nv3YuGpma+Kl5DnjNEYXK0SyW6i8k9FTaTiun1ScciIQOYzWaumj6VUChEW7uHxcs+4we5GhmOaJdMdHVnp0JhsibNpGOQkDkgIy2VGZdMpra+gZq6elasLubKPmCP3W1AxHH0jNOYnKPhtMnSgWORkPmW0ecM5dxzzmZ/bT3bd5Wxt7KcGXnSPyM6i7fArD4KE7o0k45DQuZbNE3j8ksm0TM7k4bGZlas+hpnoJXx2dEumehKTBpc0VuhhYLYbbLw7XgkZL7Dbrdx45UzQIOWtnYWL/uM4Sm6dASLQy7uqUg0B0mMlwusnwgJmSNIS0nmpisvx93SiruljaIln/CDXtAnQarFsW5cFvRPCJGSEBftonQbEjJH0b9vHtMvvpD9tXXU1NXz0SefMbN3uLNPxKZRGTAsJUii0x7tonQrEjLHMG70SCaOHU31/jqqXPtZ9sWXXN0X0mVoO+YMTYWx6SHsFpMsGzhJ8m4dg6Zp/HDyBEafMxRXTR1llVWsWLWa6/IhSaZFxIwByRoX9VCYNYXDLrWYkyUD/MdhMpm44tKL6fD62LZzNwB2h4MfDRvGm7uhJRDlAoqI6pekcWkvhR4MEhcv/TCnQmoyJ8BiMXPd5T8kv3cuNXUNbNpayqZNm7ixAFLli82wBibD9F46QZ+XRAmYUyYhc4JsNis3XjmDnOxM9tfWs3HzVtasWccN/TQypY/GcIamwiU9dbyedpKTEqNdnG4t5q5W8H15Ory8/u5CKve56JGVQUF+HyZecD4LKmFvm7yVRnBeJoxMCeL3eclMT412cbo9CZlT4PX5eHN+ETv2lJPTI4u8nB5MnXQhi/fBdne0SydOlUZ4RXUfuxcLOmmpKdEukiGcUHPpL3/5C9OmTWP69Om88sorh+7/17/+xeWXX860adO45JJLePLJJ/H7u/a1l2+++eaTevzq1as7HeOw27nxqhkMHzyIfa4aKva5WPTREqZkh5jYI/zHKroXhxmu6avIVm7sJiRgTqPjhkxxcTGrVq1i0aJFzJ07l9dff509e/bw4osvsnDhQl566SU++OADioqKqKur49lnu/YVC4uLi0/L89isVq6Z8QPGjRlJtauG6ppa3l74PnkmN1f3VbJ6uxvJcsKtBYqW/eWkJyeQnJwU7SIZynGHsMeMGcNrr72GxWKhpqaGUChEXFwcL730Em+99RbZ2eHVgzabjd/97ncsWbLkiM/zyiuvMH/+fEwmE8OGDePRRx9l3rx5FBcX8+STTwLhWsZPf/pTAObMmYPFYsHlcjFs2DAef/xxamtr+clPfkJeXh4VFRXk5OTw1FNPkZKSwqeffsp///d/o+s6eXl5PProo2RkZDB58mSGDRvGtm3bOP/88wG45ppreOedd1i+fDnPPfccwWCQ3NxcHnvsMVJTU/nyyy954oknsNvt5OfnH/W9MZvNXHbxRWSkpbJo8af4/QHe+/BjLhhzLj8uyGduBdTLpai7tMEpGlN6Kkq2bmPU0MHYbDIB6nQ7oeaS1WrlueeeY/r06Zx//vnU19djsVgoKCg47HFpaWlcd911nY4PBoP87W9/Y+7cucybNw9N06ipOfa1YUtKSnjwwQf56KOP8Pl8vPHGGwDs2LGDW2+9laKiIvr378/zzz9PQ0MDDz74IH/961957733GDlyJI8++uih55o4cSKLFy/m4YcfBuCdd96hsbGRZ555hpdffpkFCxYwfvx4nn76afx+P/fddx/PPfcc8+bNw+E49tCRpmmcP+oc/uOmawgEgtTWN/Hl6q/5es3X3NBfY1CKNJ66IpMW7n8Zn+5l157djB0xTAImQk54CPvnP/85K1euxOVysXLlysP20Fi3bh0zZ85k5syZjBs3rtOxFouFESNGcPXVV/P8889z4403HqoBHc3o0aPp168fmqYxc+ZMVq1aBUDfvn0577zzALjiiitYtWoVJSUlDBs2jNzcXACuu+66Q48HGD58eKfn37hxIy6Xi1tuuYWZM2fyxhtvUFFRwfbt28nKyqJ///4AzJo164Ten/zeufz0thvISE+len8tpTt3895HHzMx3cfleQqHNJ+6jEwH3NJfkeKtpa21heGDB8meMBF03ObS7t278fv9nHXWWTidTqZOncrmzZvx+/2UlZWRn5/PyJEjWbhwIQCFhYUA3HnnndTW1gLw97//nRdeeIENGzawfPly7rjjDp5++mk0TePbg1uBwDfTZ83mbz6VSqlDP1sslk7367p+WJmVUgSDwUM/248wFTwUCjFy5EhefPFFAHw+H+3t7VRXVx/2fN8ux/GkpiTzHzdew6KPl/H1xs34AwHeXvAeY88dye0D+/HhPtjTIoN50aIRHp4enaFYvWY9I88+ixTpf4m449ZkqqqqeOCBB/D7/fj9fj755BPGjx/P3XffzW9/+9tDzR6lFEuXLj20eOyll15i4cKFLFy4EKvVyg9/+EMGDhzIL37xC8aNG8f27dtJTU1l9+7dKKXYu3cv27dvP/S6a9eupaamBl3XWbBgARMnTgSgrKyMbdu2ATB37lwmTpzI8OHD2bhxI1VVVQC89dZbh2o732U2mwkGgwwfPpwNGzZQVlYGwAsvvMCf/vQnCgsLaWhooLS0FICioqKTekNtNitXTZ/KtTMupaW1HVdtPV+sKmbpZ59xaY8gP5ArVUZFqh1u6q/IU3WsXrOO8WNGSsCcIcetyVx44YVs3LiRK664ArPZzNSpU5k+fToA6enp3HPPPQSDQfx+PwMGDODtt9/u9BxpaWlcf/31XH311TidTnr27MmsWbOw2WzMnTuXSy+9lPz8fEaNGnXomKysLH7zm99QU1PDuHHjuOaaa3C5XCQnJ/Pcc89RWVlJYWEhv//974mLi+PRRx/lpz/9KYFAgJycHB5//PEjns+UKVOYOXMm8+bN4w9/+AO//OUv0XWd7OxsnnrqKaxWK3/+85+ZPXs2FouFwYMHn/Sbqmkao4YNIb93LvOKlrCrvIJAIMi/6xcxbuxobh+YyycujZ1uqdVEmlmDczNgTCasWLWGAfm9mTx+bLSLFVO65GS81atX8/zzz/P6668fdn9VVRW33HILy5Yti1LJTl4oFGL1+hI++GQ5VquFtJRkevfqyfix59GibHzi0mQEKkIGJGtM7qHY76pmX3U140aPwHmcjnxx+skq7Agzm81ccO4ICvr25t2ij6msqsbr87HPVcOQQQO5YcRwtjYrvqjR8IWiXVpjyHTAlJ6KOOXho8Vfcu7wIVw84fxoFytmdcmajFGFQiFKtm3n/SWf4/X5yExPJSE+njGjzqF/3758VQsbGhQh+Y2ckngLjMuGwiTFsi9W4LDZGH/eKKm9RJmETBR4Orx8sXoNy1etwWIxk5GWSkZaKueNGklmZiar6mBjgyIov5kTkmCFsZkwJFVj7cZNuGpqmHTBeWSkyeLGrkBCJorqGpr44JPlbNu1mzing9TkJLIy0hk94hyysjJZU6dY3wA+/fjPFYtS7XBehqIwxcSajZso3b6LKRPGkt87V+a9dCESMlGmlKJ87z4+/vwryvdW4TwQNhlpqYwYdjZ9cnPY3KTY2ChLFA7qk6gxMlUnL0Fj5Zp1bCndycTzRjF00EAsFpn12NVIyHQRSikqqqpZsvwr9lTsxW63kZaSTHJiIoMLB3DWwALcAY0NTSZKmxWBGKvdJFrD150elga+Dg+rvl5DeeU+LrpgDEMKB0i4dGESMl2MUop9+2v4fOUatmzfiaZppKYk4XQ46JObw5CzBtEjK4NtTYrNTRrVHuP++ixaeI/d4Sk6OQkmNpXuoHjtejQ0pkwYy4D8Pic1I1tEh4RMF9bY7KZky3a+WrOeNo8Hu91GanISiQnxnDWggIL+/XA6HOx06+xsNVHe2v1HppwWKEjSGJCo0yfRzP76RorXrqN05x7OPmsgo4YNIbdntvS5dCMSMt1AMBiibG8Vq9aWULorvAwjIT6OxIR4kpMSye+dS7/8fNJTkqloCbGrzURVu6LJF+2SH59GeD+XPgkaAxJDZMWZKa9ysWnLFrbtKiM1OYkJY0YxsH9fGYrupiRkuhl3axvbdu5mw+ZSKqurQYHDYSc5MYH4uDjy83qRm5dHz6wMzGYL+9pCVHWY2eeB/Z7o13QcZsiJ1+gVp8hz6vRIsNDS3kHl3ipKtmxjT8VeEhPjGTl0MEMHDSArI11qLd2chEw31trWTtneKkq2bGf7nvLw6nENEuLiiI9zkpSYQM+sTHr0yKZndjapifE0e0PUeRX1fjONPmj2QZNfnfbZxglWSLFppNoh3a7IsOmkOzTirGZqGprYW1XF7rIKyquq8fq89M7J4Zyhg+jfpzcZaSkSLAYiIWMQPp+fymoXlVUudpSVs89Vg1IKpcDhsBHvdBLndJCWmkxaSgqpKSkkp6SQnJR46OLxHQGdjqBORxA8IegImfDqJvSj/IVYNEWcWcdhUjgt4LRoOCwaTqsZfzCIu9VDS2sL9fX17K+tp6raRUOjm5AeIjM9lQH5fcnvnUuf3BwS5LpGhiUhY1D+QIDa+gaq99eyY085+1y1uFtb0TQTGgpdgc1mwW6zYbFYcDrtJMbF4XQ6cNjt4ZvDjsNmAy28N8V3KxehUIgOr5eODi9tng7a2z2429podrcQCIT381FK4XDY6dUjm4H9+pLbM5vszAzinNK/EiskZGKIz+en0e2m2d1KU7Ob/XX11DU20d7uob2jA2+HF6WBhobpW4lytD8QpRS6rmO32YiPcxIfF0d6ajLZWZmkpySTkpxEWkoScU6nNH9imISMOETXdbw+Pz6fjw6fD6Ur1BEiRtNMOOy2AzUem8xVEcckISOEiCjZCFIIEVESMkKIiJKQEUJElISMECKiJGSEEBElISOEiCgJGSFEREnICCEiSkJGCBFREjJCiIiSkBFCRJSEjBAioiRkhBARJSEjhIgoCRkhRERJyAghIkpCRggRURIyQoiIkpARQkSUhIwQIqIkZIQQESUhI4SIKAkZIUREScgIISJKQkYIEVH/H1RFXGZ43lH1AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = [\"3G-supported\",'Not supported']\n",
    "values = train['three_g'].value_counts().values\n",
    "fig1, ax1 = plt.subplots()\n",
    "colors = ['lightskyblue', 'orange']\n",
    "ax1.pie(values, labels=labels, autopct='%1.1f%%',shadow=True,startangle=90,colors=colors)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "6e6bf102",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = [\"4G-supported\",'Not supported']\n",
    "values = train['four_g'].value_counts().values\n",
    "fig1, ax1 = plt.subplots()\n",
    "colors = ['orange', 'lightskyblue']\n",
    "ax1.pie(values, labels=labels, autopct='%1.1f%%',shadow=True,startangle=90,colors=colors)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df3bc7e9",
   "metadata": {},
   "source": [
    "### Training the Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "23bf02c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = train.drop('price_range',axis=1)\n",
    "y = train['price_range']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "c118d6ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae0e902e",
   "metadata": {},
   "source": [
    "### Decision Tree Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "5945bbb9",
   "metadata": {},
   "outputs": [],
   "source": [
    "clf_DT = DecisionTreeClassifier(random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "c2d53dd9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(random_state=0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(random_state=0)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "DecisionTreeClassifier(random_state=0)"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf_DT.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "820ea40f",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = clf_DT.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "f383797e",
   "metadata": {},
   "outputs": [],
   "source": [
    "resDT = []\n",
    "resDT.append((pd.Series({\"Precision\" : precision_score(y_test, y_pred,average='macro'),\n",
    "                           \"Recall\" : recall_score(y_test, y_pred,average='macro'),\n",
    "                           \"F1\" : f1_score(y_test, y_pred,average='macro'),\n",
    "                           \"Accuracy\" : accuracy_score(y_test, y_pred),\n",
    "                           \"Train_Score\" : clf_DT.score((X_train),y_train),\n",
    "                           \"Test_Score\" : clf_DT.score((X_test), y_test)})))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "fcab20a5",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Precision      0.825125\n",
      "Recall         0.825181\n",
      "F1             0.824565\n",
      "Accuracy       0.827500\n",
      "Train_Score    1.000000\n",
      "Test_Score     0.827500\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(resDT[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fecc3bd",
   "metadata": {},
   "source": [
    "### Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "4e329653",
   "metadata": {},
   "outputs": [],
   "source": [
    "clf_RF = RandomForestClassifier(random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "c2ab8bcd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(random_state=0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(random_state=0)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestClassifier(random_state=0)"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf_RF.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "74b92dcd",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = clf_RF.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "18f9f6d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "resRF = []\n",
    "resRF.append((pd.Series({\"Precision\" : precision_score(y_test, y_pred,average='macro'),\n",
    "                           \"Recall\" : recall_score(y_test, y_pred,average='macro'),\n",
    "                           \"F1\" : f1_score(y_test, y_pred,average='macro'),\n",
    "                           \"Accuracy\" : accuracy_score(y_test, y_pred),\n",
    "                           \"Train_Score\" : clf_RF.score((X_train),y_train),\n",
    "                           \"Test_Score\" : clf_RF.score((X_test), y_test)})))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "b6fa00c1",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Precision      0.853572\n",
      "Recall         0.855520\n",
      "F1             0.854394\n",
      "Accuracy       0.857500\n",
      "Train_Score    1.000000\n",
      "Test_Score     0.857500\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(resRF[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ceaa2e5d",
   "metadata": {},
   "source": [
    "### Support Vector Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "bb75ac51",
   "metadata": {},
   "outputs": [],
   "source": [
    "clf_SVC = SVC(random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "36f52fc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(random_state=0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SVC</label><div class=\"sk-toggleable__content\"><pre>SVC(random_state=0)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "SVC(random_state=0)"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf_SVC.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "739168f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = clf_SVC.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "88f65762",
   "metadata": {},
   "outputs": [],
   "source": [
    "resSVC = []\n",
    "resSVC.append((pd.Series({\"Precision\" : precision_score(y_test, y_pred,average='macro'),\n",
    "                           \"Recall\" : recall_score(y_test, y_pred,average='macro'),\n",
    "                           \"F1\" : f1_score(y_test, y_pred,average='macro'),\n",
    "                           \"Accuracy\" : accuracy_score(y_test, y_pred),\n",
    "                           \"Train_Score\" : clf_SVC.score((X_train),y_train),\n",
    "                           \"Test_Score\" : clf_SVC.score((X_test), y_test)})))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "ede07801",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Precision      0.955357\n",
      "Recall         0.954335\n",
      "F1             0.954309\n",
      "Accuracy       0.955000\n",
      "Train_Score    0.954375\n",
      "Test_Score     0.955000\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(resSVC[0])"
   ]
  }
 ],
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