Python/ml/Mobile_Price_Range_Classification.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MOBILE PRICE RANGE CLASSIFICATION"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Link to the Dataset: [Mobile Price Classification](https://www.kaggle.com/iabhishekofficial/mobile-price-classification?select=train.csv)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy import stats\n",
    "import seaborn as sns\n",
    "from sklearn.metrics import confusion_matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting our Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>794</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.8</td>\n",
       "      <td>106</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>1222</td>\n",
       "      <td>1890</td>\n",
       "      <td>668</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>1965</td>\n",
       "      <td>1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>0.2</td>\n",
       "      <td>187</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>915</td>\n",
       "      <td>1965</td>\n",
       "      <td>2032</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>1911</td>\n",
       "      <td>0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>36</td>\n",
       "      <td>0.7</td>\n",
       "      <td>108</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>868</td>\n",
       "      <td>1632</td>\n",
       "      <td>3057</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>1512</td>\n",
       "      <td>0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>46</td>\n",
       "      <td>0.1</td>\n",
       "      <td>145</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>336</td>\n",
       "      <td>670</td>\n",
       "      <td>869</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>510</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>0.9</td>\n",
       "      <td>168</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>483</td>\n",
       "      <td>754</td>\n",
       "      <td>3919</td>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2000 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      battery_power  blue  clock_speed  dual_sim  fc  four_g  int_memory  \\\n",
       "0               842     0          2.2         0   1       0           7   \n",
       "1              1021     1          0.5         1   0       1          53   \n",
       "2               563     1          0.5         1   2       1          41   \n",
       "3               615     1          2.5         0   0       0          10   \n",
       "4              1821     1          1.2         0  13       1          44   \n",
       "...             ...   ...          ...       ...  ..     ...         ...   \n",
       "1995            794     1          0.5         1   0       1           2   \n",
       "1996           1965     1          2.6         1   0       0          39   \n",
       "1997           1911     0          0.9         1   1       1          36   \n",
       "1998           1512     0          0.9         0   4       1          46   \n",
       "1999            510     1          2.0         1   5       1          45   \n",
       "\n",
       "      m_dep  mobile_wt  n_cores  ...  px_height  px_width   ram  sc_h  sc_w  \\\n",
       "0       0.6        188        2  ...         20       756  2549     9     7   \n",
       "1       0.7        136        3  ...        905      1988  2631    17     3   \n",
       "2       0.9        145        5  ...       1263      1716  2603    11     2   \n",
       "3       0.8        131        6  ...       1216      1786  2769    16     8   \n",
       "4       0.6        141        2  ...       1208      1212  1411     8     2   \n",
       "...     ...        ...      ...  ...        ...       ...   ...   ...   ...   \n",
       "1995    0.8        106        6  ...       1222      1890   668    13     4   \n",
       "1996    0.2        187        4  ...        915      1965  2032    11    10   \n",
       "1997    0.7        108        8  ...        868      1632  3057     9     1   \n",
       "1998    0.1        145        5  ...        336       670   869    18    10   \n",
       "1999    0.9        168        6  ...        483       754  3919    19     4   \n",
       "\n",
       "      talk_time  three_g  touch_screen  wifi  price_range  \n",
       "0            19        0             0     1            1  \n",
       "1             7        1             1     0            2  \n",
       "2             9        1             1     0            2  \n",
       "3            11        1             0     0            2  \n",
       "4            15        1             1     0            1  \n",
       "...         ...      ...           ...   ...          ...  \n",
       "1995         19        1             1     0            0  \n",
       "1996         16        1             1     1            2  \n",
       "1997          5        1             1     0            3  \n",
       "1998         19        1             1     1            0  \n",
       "1999          2        1             1     1            3  \n",
       "\n",
       "[2000 rows x 21 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(r'train.csv', encoding = 'unicode_escape')\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "battery_power    False\n",
       "blue             False\n",
       "clock_speed      False\n",
       "dual_sim         False\n",
       "fc               False\n",
       "four_g           False\n",
       "int_memory       False\n",
       "m_dep            False\n",
       "mobile_wt        False\n",
       "n_cores          False\n",
       "pc               False\n",
       "px_height        False\n",
       "px_width         False\n",
       "ram              False\n",
       "sc_h             False\n",
       "sc_w             False\n",
       "talk_time        False\n",
       "three_g          False\n",
       "touch_screen     False\n",
       "wifi             False\n",
       "price_range      False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().any()  # checking for null values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# no null values are present"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['battery_power', 'blue', 'clock_speed', 'dual_sim', 'fc', 'four_g',\n",
       "       'int_memory', 'm_dep', 'mobile_wt', 'n_cores', 'pc', 'px_height',\n",
       "       'px_width', 'ram', 'sc_h', 'sc_w', 'talk_time', 'three_g',\n",
       "       'touch_screen', 'wifi', 'price_range'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>VIF</th>\n",
       "      <th>Features</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8.076717</td>\n",
       "      <td>battery_power</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.981927</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.260479</td>\n",
       "      <td>clock_speed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.015006</td>\n",
       "      <td>dual_sim</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.413529</td>\n",
       "      <td>fc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3.194321</td>\n",
       "      <td>four_g</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3.961239</td>\n",
       "      <td>int_memory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3.911115</td>\n",
       "      <td>m_dep</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>12.972548</td>\n",
       "      <td>mobile_wt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.646070</td>\n",
       "      <td>n_cores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>6.228797</td>\n",
       "      <td>pc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.262680</td>\n",
       "      <td>px_height</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>11.766282</td>\n",
       "      <td>px_width</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.688608</td>\n",
       "      <td>ram</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>11.510780</td>\n",
       "      <td>sc_h</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3.720867</td>\n",
       "      <td>sc_w</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>4.859144</td>\n",
       "      <td>talk_time</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>6.191783</td>\n",
       "      <td>three_g</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1.989078</td>\n",
       "      <td>touch_screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2.021012</td>\n",
       "      <td>wifi</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          VIF       Features\n",
       "0    8.076717  battery_power\n",
       "1    1.981927           blue\n",
       "2    4.260479    clock_speed\n",
       "3    2.015006       dual_sim\n",
       "4    3.413529             fc\n",
       "5    3.194321         four_g\n",
       "6    3.961239     int_memory\n",
       "7    3.911115          m_dep\n",
       "8   12.972548      mobile_wt\n",
       "9    4.646070        n_cores\n",
       "10   6.228797             pc\n",
       "11   4.262680      px_height\n",
       "12  11.766282       px_width\n",
       "13   4.688608            ram\n",
       "14  11.510780           sc_h\n",
       "15   3.720867           sc_w\n",
       "16   4.859144      talk_time\n",
       "17   6.191783        three_g\n",
       "18   1.989078   touch_screen\n",
       "19   2.021012           wifi"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking vif\n",
    "variables = df[['battery_power', 'blue', 'clock_speed', 'dual_sim', 'fc', 'four_g',\n",
    "       'int_memory', 'm_dep', 'mobile_wt', 'n_cores', 'pc', 'px_height',\n",
    "       'px_width', 'ram', 'sc_h', 'sc_w', 'talk_time', 'three_g',\n",
    "       'touch_screen', 'wifi']]\n",
    "vif = pd.DataFrame()\n",
    "vif['VIF'] = [variance_inflation_factor(variables.values, i) for i in range(variables.shape[1])]\n",
    "vif['Features'] = variables.columns\n",
    "\n",
    "vif"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>n_cores</th>\n",
       "      <th>pc</th>\n",
       "      <th>px_height</th>\n",
       "      <th>ram</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>2</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>2549</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>3</td>\n",
       "      <td>6</td>\n",
       "      <td>905</td>\n",
       "      <td>2631</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>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1263</td>\n",
       "      <td>2603</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>6</td>\n",
       "      <td>9</td>\n",
       "      <td>1216</td>\n",
       "      <td>2769</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>2</td>\n",
       "      <td>14</td>\n",
       "      <td>1208</td>\n",
       "      <td>1411</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",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>794</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.8</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>1222</td>\n",
       "      <td>668</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>1965</td>\n",
       "      <td>1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>0.2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>915</td>\n",
       "      <td>2032</td>\n",
       "      <td>10</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>1911</td>\n",
       "      <td>0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>36</td>\n",
       "      <td>0.7</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>868</td>\n",
       "      <td>3057</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>1512</td>\n",
       "      <td>0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>46</td>\n",
       "      <td>0.1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>336</td>\n",
       "      <td>869</td>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>510</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>0.9</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>483</td>\n",
       "      <td>3919</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2000 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      battery_power  blue  clock_speed  dual_sim  fc  four_g  int_memory  \\\n",
       "0               842     0          2.2         0   1       0           7   \n",
       "1              1021     1          0.5         1   0       1          53   \n",
       "2               563     1          0.5         1   2       1          41   \n",
       "3               615     1          2.5         0   0       0          10   \n",
       "4              1821     1          1.2         0  13       1          44   \n",
       "...             ...   ...          ...       ...  ..     ...         ...   \n",
       "1995            794     1          0.5         1   0       1           2   \n",
       "1996           1965     1          2.6         1   0       0          39   \n",
       "1997           1911     0          0.9         1   1       1          36   \n",
       "1998           1512     0          0.9         0   4       1          46   \n",
       "1999            510     1          2.0         1   5       1          45   \n",
       "\n",
       "      m_dep  n_cores  pc  px_height   ram  sc_w  talk_time  three_g  \\\n",
       "0       0.6        2   2         20  2549     7         19        0   \n",
       "1       0.7        3   6        905  2631     3          7        1   \n",
       "2       0.9        5   6       1263  2603     2          9        1   \n",
       "3       0.8        6   9       1216  2769     8         11        1   \n",
       "4       0.6        2  14       1208  1411     2         15        1   \n",
       "...     ...      ...  ..        ...   ...   ...        ...      ...   \n",
       "1995    0.8        6  14       1222   668     4         19        1   \n",
       "1996    0.2        4   3        915  2032    10         16        1   \n",
       "1997    0.7        8   3        868  3057     1          5        1   \n",
       "1998    0.1        5   5        336   869    10         19        1   \n",
       "1999    0.9        6  16        483  3919     4          2        1   \n",
       "\n",
       "      touch_screen  wifi  price_range  \n",
       "0                0     1            1  \n",
       "1                1     0            2  \n",
       "2                1     0            2  \n",
       "3                0     0            2  \n",
       "4                1     0            1  \n",
       "...            ...   ...          ...  \n",
       "1995             1     0            0  \n",
       "1996             1     1            2  \n",
       "1997             1     0            3  \n",
       "1998             1     1            0  \n",
       "1999             1     1            3  \n",
       "\n",
       "[2000 rows x 18 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# now, we'll drop columns which have vif>10\n",
    "df = df.drop(['mobile_wt','px_width','sc_h'], axis=1)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "      <td>6</td>\n",
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       "      <td>2631</td>\n",
       "      <td>3</td>\n",
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       "      <td>0</td>\n",
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       "      <th>2</th>\n",
       "      <td>563</td>\n",
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       "      <td>2</td>\n",
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       "      <th>3</th>\n",
       "      <td>615</td>\n",
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       "      <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>6</td>\n",
       "      <td>9</td>\n",
       "      <td>1216</td>\n",
       "      <td>2769</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",
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       "      <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>2</td>\n",
       "      <td>14</td>\n",
       "      <td>1208</td>\n",
       "      <td>1411</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>794</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.8</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>1222</td>\n",
       "      <td>668</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>1965</td>\n",
       "      <td>1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>0.2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>915</td>\n",
       "      <td>2032</td>\n",
       "      <td>10</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>1911</td>\n",
       "      <td>0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>36</td>\n",
       "      <td>0.7</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>868</td>\n",
       "      <td>3057</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>1512</td>\n",
       "      <td>0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>46</td>\n",
       "      <td>0.1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>336</td>\n",
       "      <td>869</td>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>510</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>0.9</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>483</td>\n",
       "      <td>3919</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1988 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      battery_power  blue  clock_speed  dual_sim  fc  four_g  int_memory  \\\n",
       "0               842     0          2.2         0   1       0           7   \n",
       "1              1021     1          0.5         1   0       1          53   \n",
       "2               563     1          0.5         1   2       1          41   \n",
       "3               615     1          2.5         0   0       0          10   \n",
       "4              1821     1          1.2         0  13       1          44   \n",
       "...             ...   ...          ...       ...  ..     ...         ...   \n",
       "1995            794     1          0.5         1   0       1           2   \n",
       "1996           1965     1          2.6         1   0       0          39   \n",
       "1997           1911     0          0.9         1   1       1          36   \n",
       "1998           1512     0          0.9         0   4       1          46   \n",
       "1999            510     1          2.0         1   5       1          45   \n",
       "\n",
       "      m_dep  n_cores  pc  px_height   ram  sc_w  talk_time  three_g  \\\n",
       "0       0.6        2   2         20  2549     7         19        0   \n",
       "1       0.7        3   6        905  2631     3          7        1   \n",
       "2       0.9        5   6       1263  2603     2          9        1   \n",
       "3       0.8        6   9       1216  2769     8         11        1   \n",
       "4       0.6        2  14       1208  1411     2         15        1   \n",
       "...     ...      ...  ..        ...   ...   ...        ...      ...   \n",
       "1995    0.8        6  14       1222   668     4         19        1   \n",
       "1996    0.2        4   3        915  2032    10         16        1   \n",
       "1997    0.7        8   3        868  3057     1          5        1   \n",
       "1998    0.1        5   5        336   869    10         19        1   \n",
       "1999    0.9        6  16        483  3919     4          2        1   \n",
       "\n",
       "      touch_screen  wifi  price_range  \n",
       "0                0     1            1  \n",
       "1                1     0            2  \n",
       "2                1     0            2  \n",
       "3                0     0            2  \n",
       "4                1     0            1  \n",
       "...            ...   ...          ...  \n",
       "1995             1     0            0  \n",
       "1996             1     1            2  \n",
       "1997             1     0            3  \n",
       "1998             1     1            0  \n",
       "1999             1     1            3  \n",
       "\n",
       "[1988 rows x 18 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# removing all outliners\n",
    "df = df[(np.abs(stats.zscore(df)) < 3).all(axis=1)]\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr = df.corr()\n",
    "plt.subplots(figsize=(15,10))\n",
    "sns.heatmap(corr, annot=True)  # quantifying the relationship"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Splitting Data for Training and Testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = df.values\n",
    "X,y = data[:,:-1], data[:,-1]\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 0)  # splitting in the ration 80:20"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(random_state=0)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classifier = RandomForestClassifier(random_state=0)\n",
    "classifier.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Making Predictions and Checking Accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = classifier.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8743718592964824"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score = classifier.score(X_test, y_test)\n",
    "score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Predictions are 87.43% accurate."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Results' Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[88,  4,  0,  0],\n",
       "       [ 8, 80,  7,  0],\n",
       "       [ 0, 21, 81,  2],\n",
       "       [ 0,  0,  8, 99]], dtype=int64)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cm = confusion_matrix(y_test, y_pred)\n",
    "cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6,6))\n",
    "sns.heatmap(cm, annot=True, fmt=\".0f\", linewidths=0.5, square = True, cmap = 'Pastel1')\n",
    "plt.ylabel('Actual label')\n",
    "plt.xlabel('Predicted label')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}