POML CASE STUDY.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import random\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.metrics import *\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"train.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "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>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": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "battery_power    0\n",
       "blue             0\n",
       "clock_speed      0\n",
       "dual_sim         0\n",
       "fc               0\n",
       "four_g           0\n",
       "int_memory       0\n",
       "m_dep            0\n",
       "mobile_wt        0\n",
       "n_cores          0\n",
       "pc               0\n",
       "px_height        0\n",
       "px_width         0\n",
       "ram              0\n",
       "sc_h             0\n",
       "sc_w             0\n",
       "talk_time        0\n",
       "three_g          0\n",
       "touch_screen     0\n",
       "wifi             0\n",
       "price_range      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlation Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corrmat = df.corr()\n",
    "top_corr_features = corrmat.index\n",
    "plt.figure(figsize=(20,20))\n",
    "g=sns.heatmap(df[top_corr_features].corr(),annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "price_range      1.000000\n",
       "ram              0.917046\n",
       "battery_power    0.200723\n",
       "px_width         0.165818\n",
       "px_height        0.148858\n",
       "int_memory       0.044435\n",
       "sc_w             0.038711\n",
       "pc               0.033599\n",
       "three_g          0.023611\n",
       "sc_h             0.022986\n",
       "fc               0.021998\n",
       "talk_time        0.021859\n",
       "blue             0.020573\n",
       "wifi             0.018785\n",
       "dual_sim         0.017444\n",
       "four_g           0.014772\n",
       "n_cores          0.004399\n",
       "m_dep            0.000853\n",
       "clock_speed     -0.006606\n",
       "mobile_wt       -0.030302\n",
       "touch_screen    -0.030411\n",
       "Name: price_range, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corrmat.sort_values(by=['price_range'],ascending=False).iloc[0].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Split train and test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = df.drop(['price_range'],axis = 1)\n",
    "y = df['price_range']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "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>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>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>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>2</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",
       "    </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>6</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",
       "    </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>6</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",
       "    </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>9</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",
       "    </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>14</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",
       "    </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",
       "    </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>14</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",
       "    </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>3</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",
       "    </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>3</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",
       "    </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>5</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",
       "    </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>16</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2000 rows × 20 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  pc  px_height  px_width   ram  sc_h  sc_w  \\\n",
       "0       0.6        188        2   2         20       756  2549     9     7   \n",
       "1       0.7        136        3   6        905      1988  2631    17     3   \n",
       "2       0.9        145        5   6       1263      1716  2603    11     2   \n",
       "3       0.8        131        6   9       1216      1786  2769    16     8   \n",
       "4       0.6        141        2  14       1208      1212  1411     8     2   \n",
       "...     ...        ...      ...  ..        ...       ...   ...   ...   ...   \n",
       "1995    0.8        106        6  14       1222      1890   668    13     4   \n",
       "1996    0.2        187        4   3        915      1965  2032    11    10   \n",
       "1997    0.7        108        8   3        868      1632  3057     9     1   \n",
       "1998    0.1        145        5   5        336       670   869    18    10   \n",
       "1999    0.9        168        6  16        483       754  3919    19     4   \n",
       "\n",
       "      talk_time  three_g  touch_screen  wifi  \n",
       "0            19        0             0     1  \n",
       "1             7        1             1     0  \n",
       "2             9        1             1     0  \n",
       "3            11        1             0     0  \n",
       "4            15        1             1     0  \n",
       "...         ...      ...           ...   ...  \n",
       "1995         19        1             1     0  \n",
       "1996         16        1             1     1  \n",
       "1997          5        1             1     0  \n",
       "1998         19        1             1     1  \n",
       "1999          2        1             1     1  \n",
       "\n",
       "[2000 rows x 20 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       1\n",
       "1       2\n",
       "2       2\n",
       "3       2\n",
       "4       1\n",
       "       ..\n",
       "1995    0\n",
       "1996    2\n",
       "1997    3\n",
       "1998    0\n",
       "1999    3\n",
       "Name: price_range, Length: 2000, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1340, 20) (660, 20) (1340,) (660,)\n"
     ]
    }
   ],
   "source": [
    "x_train,x_test,y_train,y_test = train_test_split(x,y,test_size=0.33)\n",
    "print (x_train.shape,x_test.shape,y_train.shape,y_test.shape)\n",
    "graph = []"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating and training classification models\n",
    "# 1. SVC - Linear, Polynomial, RBF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "svmcm = SVC(C=0.1, kernel='rbf')\n",
    "svmcm.fit(x_train,y_train.values.ravel())\n",
    "svmcm.score(x_test,y_test)\n",
    "y_svmcm_pred = svmcm.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy Score:  0.8818181818181818\n",
      "Classification Report: \n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.91      0.96      0.94       163\n",
      "           1       0.85      0.84      0.85       168\n",
      "           2       0.82      0.84      0.83       164\n",
      "           3       0.94      0.89      0.92       165\n",
      "\n",
      "    accuracy                           0.88       660\n",
      "   macro avg       0.88      0.88      0.88       660\n",
      "weighted avg       0.88      0.88      0.88       660\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Accuracy Score: \", accuracy_score(y_test, svmcm.predict(x_test)))\n",
    "graph.append(accuracy_score(y_test, svmcm.predict(x_test)))\n",
    "print(\"Classification Report: \")\n",
    "print()\n",
    "print(classification_report(y_test,y_svmcm_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "svmcm = SVC(C=0.1, kernel='poly')\n",
    "svmcm.fit(x_train,y_train.values.ravel())\n",
    "svmcm.score(x_test,y_test)\n",
    "y_svmcm_pred = svmcm.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy Score:  0.9333333333333333\n",
      "Classification Report: \n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.89      1.00      0.94       163\n",
      "           1       0.91      0.87      0.89       168\n",
      "           2       0.96      0.90      0.93       164\n",
      "           3       0.98      0.97      0.98       165\n",
      "\n",
      "    accuracy                           0.93       660\n",
      "   macro avg       0.94      0.93      0.93       660\n",
      "weighted avg       0.94      0.93      0.93       660\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Accuracy Score: \", accuracy_score(y_test, svmcm.predict(x_test)))\n",
    "graph.append(accuracy_score(y_test, svmcm.predict(x_test)))\n",
    "print(\"Classification Report: \")\n",
    "print()\n",
    "print(classification_report(y_test,y_svmcm_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "svmcm = SVC(C=0.1, kernel='linear')\n",
    "svmcm.fit(x_train,y_train.values.ravel())\n",
    "svmcm.score(x_test,y_test)\n",
    "y_svmcm_pred = svmcm.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy Score:  0.9651515151515152\n",
      "Classification Report: \n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.98      0.99      0.98       163\n",
      "           1       0.98      0.95      0.96       168\n",
      "           2       0.95      0.95      0.95       164\n",
      "           3       0.95      0.98      0.97       165\n",
      "\n",
      "    accuracy                           0.97       660\n",
      "   macro avg       0.97      0.97      0.97       660\n",
      "weighted avg       0.97      0.97      0.97       660\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Accuracy Score: \", accuracy_score(y_test, svmcm.predict(x_test)))\n",
    "graph.append(accuracy_score(y_test, svmcm.predict(x_test)))\n",
    "print(\"Classification Report: \")\n",
    "print()\n",
    "print(classification_report(y_test,y_svmcm_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. KNN Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "knnm = KNeighborsClassifier(n_neighbors=10)\n",
    "knnm.fit(x_train,y_train)\n",
    "knnm.score(x_test,y_test)\n",
    "y_knn_pred = knnm.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy Score:  0.9257575757575758\n",
      "Classification Report: \n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.95      1.00      0.97       163\n",
      "           1       0.91      0.91      0.91       168\n",
      "           2       0.87      0.88      0.88       164\n",
      "           3       0.98      0.91      0.94       165\n",
      "\n",
      "    accuracy                           0.93       660\n",
      "   macro avg       0.93      0.93      0.93       660\n",
      "weighted avg       0.93      0.93      0.93       660\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Accuracy Score: \", accuracy_score(y_test,y_knn_pred))\n",
    "graph.append(accuracy_score(y_test,y_knn_pred))\n",
    "print(\"Classification Report: \")\n",
    "print()\n",
    "print(classification_report(y_test,y_knn_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Decision Tree Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "dtc = DecisionTreeClassifier()\n",
    "dtc.fit(x_train,y_train)\n",
    "dtc.score(x_test,y_test)\n",
    "y_pred = dtc.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy Score:  0.8121212121212121\n",
      "Classification Report: \n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.88      0.90      0.89       163\n",
      "           1       0.77      0.80      0.79       168\n",
      "           2       0.77      0.68      0.72       164\n",
      "           3       0.82      0.88      0.85       165\n",
      "\n",
      "    accuracy                           0.81       660\n",
      "   macro avg       0.81      0.81      0.81       660\n",
      "weighted avg       0.81      0.81      0.81       660\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Accuracy Score: \", accuracy_score(y_test,y_pred))\n",
    "graph.append(accuracy_score(y_test,y_pred))\n",
    "print(\"Classification Report: \")\n",
    "print()\n",
    "print(classification_report(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "rf = RandomForestClassifier()\n",
    "rf.fit(x_train,y_train)\n",
    "rf.score(x_test,y_test)\n",
    "y_pred = rf.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy Score:  0.8681818181818182\n",
      "Classification Report: \n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.92      0.96      0.94       163\n",
      "           1       0.84      0.83      0.84       168\n",
      "           2       0.81      0.79      0.80       164\n",
      "           3       0.91      0.90      0.90       165\n",
      "\n",
      "    accuracy                           0.87       660\n",
      "   macro avg       0.87      0.87      0.87       660\n",
      "weighted avg       0.87      0.87      0.87       660\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Accuracy Score: \", accuracy_score(y_test,y_pred))\n",
    "graph.append(accuracy_score(y_test,y_pred))\n",
    "print(\"Classification Report: \")\n",
    "print()\n",
    "print(classification_report(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.8818181818181818, 0.9333333333333333, 0.9651515151515152, 0.9257575757575758, 0.8121212121212121, 0.8681818181818182]\n"
     ]
    }
   ],
   "source": [
    "print(graph)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = ['SVC-RBF', 'SVC-Poly', 'SVC-Linear', 'KNN', 'Decision-Tree', 'Random-Forest']\n",
    "x = np.arange(len(labels))  \n",
    "width = 0.35 \n",
    "fig, ax = plt.subplots(figsize = (14, 8))\n",
    "rects1 = ax.bar(x, graph, width, label='Classification', color = 'xkcd:red' )\n",
    "#rects2 = ax.bar(x + width/2, poly, width, label='Non-Linear', color = 'xkcd:salmon')\n",
    "ax.set_ylabel('Accuracy Scores', fontsize = 15)\n",
    "ax.set_title('Comparison between different types of classification')\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(labels, fontsize = 14)\n",
    "ax.legend(fontsize = 12)\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}