Price range prediction of Mobiles-KNN.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b384d5ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7efe2c22",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afdd9ad0",
   "metadata": {},
   "source": [
    "# 1.Loading the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "89aa1a23",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"Mobile_data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ea86150b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>clock_speed</th>\n",
       "      <th>fc</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>price_range</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>842</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1</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>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1021</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</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>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>563</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2</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>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>615</td>\n",
       "      <td>2.5</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>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1821</td>\n",
       "      <td>1.2</td>\n",
       "      <td>13</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   battery_power  clock_speed  fc  int_memory  m_dep  mobile_wt  n_cores  pc  \\\n",
       "0            842          2.2   1           7    0.6        188        2   2   \n",
       "1           1021          0.5   0          53    0.7        136        3   6   \n",
       "2            563          0.5   2          41    0.9        145        5   6   \n",
       "3            615          2.5   0          10    0.8        131        6   9   \n",
       "4           1821          1.2  13          44    0.6        141        2  14   \n",
       "\n",
       "   px_height  px_width   ram  sc_h  sc_w  talk_time  price_range  \n",
       "0         20       756  2549     9     7         19            1  \n",
       "1        905      1988  2631    17     3          7            2  \n",
       "2       1263      1716  2603    11     2          9            2  \n",
       "3       1216      1786  2769    16     8         11            2  \n",
       "4       1208      1212  1411     8     2         15            1  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "07566537",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2000 entries, 0 to 1999\n",
      "Data columns (total 15 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   battery_power  2000 non-null   int64  \n",
      " 1   clock_speed    2000 non-null   float64\n",
      " 2   fc             2000 non-null   int64  \n",
      " 3   int_memory     2000 non-null   int64  \n",
      " 4   m_dep          2000 non-null   float64\n",
      " 5   mobile_wt      2000 non-null   int64  \n",
      " 6   n_cores        2000 non-null   int64  \n",
      " 7   pc             2000 non-null   int64  \n",
      " 8   px_height      2000 non-null   int64  \n",
      " 9   px_width       2000 non-null   int64  \n",
      " 10  ram            2000 non-null   int64  \n",
      " 11  sc_h           2000 non-null   int64  \n",
      " 12  sc_w           2000 non-null   int64  \n",
      " 13  talk_time      2000 non-null   int64  \n",
      " 14  price_range    2000 non-null   int64  \n",
      "dtypes: float64(2), int64(13)\n",
      "memory usage: 234.5 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e3246f88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2000, 15)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "99b206a6",
   "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>clock_speed</th>\n",
       "      <th>fc</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>price_range</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\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",
       "      <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>1.522250</td>\n",
       "      <td>4.309500</td>\n",
       "      <td>32.046500</td>\n",
       "      <td>0.501750</td>\n",
       "      <td>140.249000</td>\n",
       "      <td>4.520500</td>\n",
       "      <td>9.916500</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>1.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>439.418206</td>\n",
       "      <td>0.816004</td>\n",
       "      <td>4.341444</td>\n",
       "      <td>18.145715</td>\n",
       "      <td>0.288416</td>\n",
       "      <td>35.399655</td>\n",
       "      <td>2.287837</td>\n",
       "      <td>6.064315</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>1.118314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>501.000000</td>\n",
       "      <td>0.500000</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>0.000000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>851.750000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>109.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</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>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1226.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>141.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>10.000000</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>1.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1615.250000</td>\n",
       "      <td>2.200000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>170.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>15.000000</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>2.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1998.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>20.000000</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>3.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       battery_power  clock_speed           fc   int_memory        m_dep  \\\n",
       "count    2000.000000  2000.000000  2000.000000  2000.000000  2000.000000   \n",
       "mean     1238.518500     1.522250     4.309500    32.046500     0.501750   \n",
       "std       439.418206     0.816004     4.341444    18.145715     0.288416   \n",
       "min       501.000000     0.500000     0.000000     2.000000     0.100000   \n",
       "25%       851.750000     0.700000     1.000000    16.000000     0.200000   \n",
       "50%      1226.000000     1.500000     3.000000    32.000000     0.500000   \n",
       "75%      1615.250000     2.200000     7.000000    48.000000     0.800000   \n",
       "max      1998.000000     3.000000    19.000000    64.000000     1.000000   \n",
       "\n",
       "         mobile_wt      n_cores           pc    px_height     px_width  \\\n",
       "count  2000.000000  2000.000000  2000.000000  2000.000000  2000.000000   \n",
       "mean    140.249000     4.520500     9.916500   645.108000  1251.515500   \n",
       "std      35.399655     2.287837     6.064315   443.780811   432.199447   \n",
       "min      80.000000     1.000000     0.000000     0.000000   500.000000   \n",
       "25%     109.000000     3.000000     5.000000   282.750000   874.750000   \n",
       "50%     141.000000     4.000000    10.000000   564.000000  1247.000000   \n",
       "75%     170.000000     7.000000    15.000000   947.250000  1633.000000   \n",
       "max     200.000000     8.000000    20.000000  1960.000000  1998.000000   \n",
       "\n",
       "               ram         sc_h         sc_w    talk_time  price_range  \n",
       "count  2000.000000  2000.000000  2000.000000  2000.000000  2000.000000  \n",
       "mean   2124.213000    12.306500     5.767000    11.011000     1.500000  \n",
       "std    1084.732044     4.213245     4.356398     5.463955     1.118314  \n",
       "min     256.000000     5.000000     0.000000     2.000000     0.000000  \n",
       "25%    1207.500000     9.000000     2.000000     6.000000     0.750000  \n",
       "50%    2146.500000    12.000000     5.000000    11.000000     1.500000  \n",
       "75%    3064.500000    16.000000     9.000000    16.000000     2.250000  \n",
       "max    3998.000000    19.000000    18.000000    20.000000     3.000000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08584cd4",
   "metadata": {},
   "source": [
    "# 2.Data-Preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2323c2ee",
   "metadata": {},
   "source": [
    "## 2.1.Handling Missing data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c1f4c962",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "battery_power    0\n",
       "clock_speed      0\n",
       "fc               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",
       "price_range      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdf343b4",
   "metadata": {},
   "source": [
    "### No null values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9abca635",
   "metadata": {},
   "source": [
    "## 2.2.Handling Outliers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f1851825",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,8))\n",
    "sns.boxplot(data = data)\n",
    "plt.xticks(rotation=90, fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b57bbc6f",
   "metadata": {},
   "source": [
    "### No outliers visible on boxplot "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c72c5d92",
   "metadata": {},
   "source": [
    "## 2.3.Feature Scaling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e8b306de",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Separating Dependent and independent columns\n",
    "X = data.drop([\"price_range\"], axis=1)\n",
    "y= data[\"price_range\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "94657f73",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "sc = StandardScaler()\n",
    "X_scaled = sc.fit_transform(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5ada5cfc",
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.902597</td>\n",
       "      <td>0.830779</td>\n",
       "      <td>-0.762495</td>\n",
       "      <td>-1.380644</td>\n",
       "      <td>0.340740</td>\n",
       "      <td>1.349249</td>\n",
       "      <td>-1.101971</td>\n",
       "      <td>-1.305750</td>\n",
       "      <td>-1.408949</td>\n",
       "      <td>-1.146784</td>\n",
       "      <td>0.391703</td>\n",
       "      <td>-0.784983</td>\n",
       "      <td>0.283103</td>\n",
       "      <td>1.462493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.495139</td>\n",
       "      <td>-1.253064</td>\n",
       "      <td>-0.992890</td>\n",
       "      <td>1.155024</td>\n",
       "      <td>0.687548</td>\n",
       "      <td>-0.120059</td>\n",
       "      <td>-0.664768</td>\n",
       "      <td>-0.645989</td>\n",
       "      <td>0.585778</td>\n",
       "      <td>1.704465</td>\n",
       "      <td>0.467317</td>\n",
       "      <td>1.114266</td>\n",
       "      <td>-0.635317</td>\n",
       "      <td>-0.734267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-1.537686</td>\n",
       "      <td>-1.253064</td>\n",
       "      <td>-0.532099</td>\n",
       "      <td>0.493546</td>\n",
       "      <td>1.381165</td>\n",
       "      <td>0.134244</td>\n",
       "      <td>0.209639</td>\n",
       "      <td>-0.645989</td>\n",
       "      <td>1.392684</td>\n",
       "      <td>1.074968</td>\n",
       "      <td>0.441498</td>\n",
       "      <td>-0.310171</td>\n",
       "      <td>-0.864922</td>\n",
       "      <td>-0.368140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-1.419319</td>\n",
       "      <td>1.198517</td>\n",
       "      <td>-0.992890</td>\n",
       "      <td>-1.215274</td>\n",
       "      <td>1.034357</td>\n",
       "      <td>-0.261339</td>\n",
       "      <td>0.646842</td>\n",
       "      <td>-0.151168</td>\n",
       "      <td>1.286750</td>\n",
       "      <td>1.236971</td>\n",
       "      <td>0.594569</td>\n",
       "      <td>0.876859</td>\n",
       "      <td>0.512708</td>\n",
       "      <td>-0.002014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.325906</td>\n",
       "      <td>-0.395011</td>\n",
       "      <td>2.002254</td>\n",
       "      <td>0.658915</td>\n",
       "      <td>0.340740</td>\n",
       "      <td>0.021220</td>\n",
       "      <td>-1.101971</td>\n",
       "      <td>0.673534</td>\n",
       "      <td>1.268718</td>\n",
       "      <td>-0.091452</td>\n",
       "      <td>-0.657666</td>\n",
       "      <td>-1.022389</td>\n",
       "      <td>-0.864922</td>\n",
       "      <td>0.730240</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>-1.011860</td>\n",
       "      <td>-1.253064</td>\n",
       "      <td>-0.992890</td>\n",
       "      <td>-1.656260</td>\n",
       "      <td>1.034357</td>\n",
       "      <td>-0.967737</td>\n",
       "      <td>0.646842</td>\n",
       "      <td>0.673534</td>\n",
       "      <td>1.300273</td>\n",
       "      <td>1.477661</td>\n",
       "      <td>-1.342799</td>\n",
       "      <td>0.164641</td>\n",
       "      <td>-0.405712</td>\n",
       "      <td>1.462493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>1.653694</td>\n",
       "      <td>1.321096</td>\n",
       "      <td>-0.992890</td>\n",
       "      <td>0.383299</td>\n",
       "      <td>-1.046495</td>\n",
       "      <td>1.320993</td>\n",
       "      <td>-0.227564</td>\n",
       "      <td>-1.140810</td>\n",
       "      <td>0.608317</td>\n",
       "      <td>1.651235</td>\n",
       "      <td>-0.085031</td>\n",
       "      <td>-0.310171</td>\n",
       "      <td>0.971917</td>\n",
       "      <td>0.913303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>1.530773</td>\n",
       "      <td>-0.762748</td>\n",
       "      <td>-0.762495</td>\n",
       "      <td>0.217930</td>\n",
       "      <td>0.687548</td>\n",
       "      <td>-0.911225</td>\n",
       "      <td>1.521249</td>\n",
       "      <td>-1.140810</td>\n",
       "      <td>0.502383</td>\n",
       "      <td>0.880565</td>\n",
       "      <td>0.860139</td>\n",
       "      <td>-0.784983</td>\n",
       "      <td>-1.094526</td>\n",
       "      <td>-1.100394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>0.622527</td>\n",
       "      <td>-0.762748</td>\n",
       "      <td>-0.071307</td>\n",
       "      <td>0.769162</td>\n",
       "      <td>-1.393304</td>\n",
       "      <td>0.134244</td>\n",
       "      <td>0.209639</td>\n",
       "      <td>-0.810929</td>\n",
       "      <td>-0.696707</td>\n",
       "      <td>-1.345816</td>\n",
       "      <td>-1.157454</td>\n",
       "      <td>1.351672</td>\n",
       "      <td>0.971917</td>\n",
       "      <td>1.462493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>-1.658331</td>\n",
       "      <td>0.585621</td>\n",
       "      <td>0.159088</td>\n",
       "      <td>0.714039</td>\n",
       "      <td>1.381165</td>\n",
       "      <td>0.784130</td>\n",
       "      <td>0.646842</td>\n",
       "      <td>1.003414</td>\n",
       "      <td>-0.365380</td>\n",
       "      <td>-1.151413</td>\n",
       "      <td>1.655004</td>\n",
       "      <td>1.589078</td>\n",
       "      <td>-0.405712</td>\n",
       "      <td>-1.649584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2000 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            0         1         2         3         4         5         6   \\\n",
       "0    -0.902597  0.830779 -0.762495 -1.380644  0.340740  1.349249 -1.101971   \n",
       "1    -0.495139 -1.253064 -0.992890  1.155024  0.687548 -0.120059 -0.664768   \n",
       "2    -1.537686 -1.253064 -0.532099  0.493546  1.381165  0.134244  0.209639   \n",
       "3    -1.419319  1.198517 -0.992890 -1.215274  1.034357 -0.261339  0.646842   \n",
       "4     1.325906 -0.395011  2.002254  0.658915  0.340740  0.021220 -1.101971   \n",
       "...        ...       ...       ...       ...       ...       ...       ...   \n",
       "1995 -1.011860 -1.253064 -0.992890 -1.656260  1.034357 -0.967737  0.646842   \n",
       "1996  1.653694  1.321096 -0.992890  0.383299 -1.046495  1.320993 -0.227564   \n",
       "1997  1.530773 -0.762748 -0.762495  0.217930  0.687548 -0.911225  1.521249   \n",
       "1998  0.622527 -0.762748 -0.071307  0.769162 -1.393304  0.134244  0.209639   \n",
       "1999 -1.658331  0.585621  0.159088  0.714039  1.381165  0.784130  0.646842   \n",
       "\n",
       "            7         8         9         10        11        12        13  \n",
       "0    -1.305750 -1.408949 -1.146784  0.391703 -0.784983  0.283103  1.462493  \n",
       "1    -0.645989  0.585778  1.704465  0.467317  1.114266 -0.635317 -0.734267  \n",
       "2    -0.645989  1.392684  1.074968  0.441498 -0.310171 -0.864922 -0.368140  \n",
       "3    -0.151168  1.286750  1.236971  0.594569  0.876859  0.512708 -0.002014  \n",
       "4     0.673534  1.268718 -0.091452 -0.657666 -1.022389 -0.864922  0.730240  \n",
       "...        ...       ...       ...       ...       ...       ...       ...  \n",
       "1995  0.673534  1.300273  1.477661 -1.342799  0.164641 -0.405712  1.462493  \n",
       "1996 -1.140810  0.608317  1.651235 -0.085031 -0.310171  0.971917  0.913303  \n",
       "1997 -1.140810  0.502383  0.880565  0.860139 -0.784983 -1.094526 -1.100394  \n",
       "1998 -0.810929 -0.696707 -1.345816 -1.157454  1.351672  0.971917  1.462493  \n",
       "1999  1.003414 -0.365380 -1.151413  1.655004  1.589078 -0.405712 -1.649584  \n",
       "\n",
       "[2000 rows x 14 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_scaled = pd.DataFrame(X_scaled)\n",
    "X_scaled"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14c06807",
   "metadata": {},
   "source": [
    "# 2.4.Checking for imbalanced dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "90c9409f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    500\n",
       "2    500\n",
       "3    500\n",
       "0    500\n",
       "Name: price_range, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ac45075",
   "metadata": {},
   "source": [
    "## Not imbalanced"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ba348ac",
   "metadata": {},
   "source": [
    "# 3.EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2ebb68ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting correlation matrix\n",
    "plt.figure(figsize=(15,8))\n",
    "corr = data.corr()\n",
    "sns.heatmap(corr, annot=True, cmap=\"RdYlBu\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e0290bc",
   "metadata": {},
   "source": [
    "## Following Features are postively correlated  :-\n",
    "        * \"pc\" and \"fc\"\n",
    "        * \"ram\" and \"price_range\"\n",
    "        * \"sc_h\" and \"sc_w\"\n",
    "        * \"px_width\" and \"px_height\"\n",
    "        * \"batter_power\" and \"price_range\"\n",
    "        * \"px_height\" and \"price_range\"\n",
    "        * \"px_width\" and \"price_range\"\n",
    "* \"ram\" shows the highest positive correlation with our target variable \"price_range\". Meaning, price of a mobile will increase significantly, if RAM increases and vice-versa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "781b107a",
   "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>clock_speed</th>\n",
       "      <th>fc</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>price_range</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>842</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1</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>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1021</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</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>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   battery_power  clock_speed  fc  int_memory  m_dep  mobile_wt  n_cores  pc  \\\n",
       "0            842          2.2   1           7    0.6        188        2   2   \n",
       "1           1021          0.5   0          53    0.7        136        3   6   \n",
       "\n",
       "   px_height  px_width   ram  sc_h  sc_w  talk_time  price_range  \n",
       "0         20       756  2549     9     7         19            1  \n",
       "1        905      1988  2631    17     3          7            2  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "156e0db8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2000 entries, 0 to 1999\n",
      "Data columns (total 15 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   battery_power  2000 non-null   int64  \n",
      " 1   clock_speed    2000 non-null   float64\n",
      " 2   fc             2000 non-null   int64  \n",
      " 3   int_memory     2000 non-null   int64  \n",
      " 4   m_dep          2000 non-null   float64\n",
      " 5   mobile_wt      2000 non-null   int64  \n",
      " 6   n_cores        2000 non-null   int64  \n",
      " 7   pc             2000 non-null   int64  \n",
      " 8   px_height      2000 non-null   int64  \n",
      " 9   px_width       2000 non-null   int64  \n",
      " 10  ram            2000 non-null   int64  \n",
      " 11  sc_h           2000 non-null   int64  \n",
      " 12  sc_w           2000 non-null   int64  \n",
      " 13  talk_time      2000 non-null   int64  \n",
      " 14  price_range    2000 non-null   int64  \n",
      "dtypes: float64(2), int64(13)\n",
      "memory usage: 234.5 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "21088906",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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btNaFbEOHAGd2y2cCL28XRZIkaTxaFrICLk2yPMmSbmynqlrbLd8O7NQmmiRJ0vg0O4YMeF5VrUmyI3BZkpuGV1ZVJakNn9SVtyUAu++++3iSSpIk9ajZFrKqWtN9XQ9cBOwHrEuyM0D3df0cz1taVdNVNT01NTXOyJIkSb1oUsiSbJ1km9ll4CXASuBi4OjuYUcDX2qRT5IkaZxa7bLcCbgoyWyGL1TVV5J8GzgvyXHArcARjfJJkiSNTZNCVlU/BP5wjvE7gP3Hn0iSJKmdSbvshSRJ0rxjIZMkSWrMQiZJktSYhUySJKkxC5kkSVJjFjJJkqTGLGSSJEmNWcgkSZIas5BJkiQ1ZiGTJElqzEImSZLUmIVMkiSpMQuZJElSYxYySZKkxixkkiRJjVnIJEmSGrOQSZIkNWYhkyRJasxCJkmS1JiFTJIkqTELmSRJUmMWMkmSpMYsZJIkSY1ZyCRJkhqzkEmSJDU29kKWZLck/yvJd5PckOSt3fgHkqxJsqK7HTTubJIkSS0saDDnvcA7q+qaJNsAy5Nc1q37WFWd1CCTJElSM2MvZFW1FljbLf88yY3AruPOIUmSNCmaHkOWZBGwL3B1N3R8kuuSnJZk+408Z0mSZUmWzczMjCuqJElSb5oVsiS/A1wAvK2q7gJOAfYEFjPYgnbyXM+rqqVVNV1V01NTU+OKK0mS1JsmhSzJbzEoY2dX1YUAVbWuqu6rqvuBzwD7tcgmSZI0bi3OsgxwKnBjVX10aHznoYcdCqwcdzZJkqQWWpxl+VzgtcD1SVZ0Y+8GjkqyGChgFfCGBtkkSZLGrsVZlt8EMseqS8adRZIkaRJ4pX5JkqTGLGSSJEmNWcgkSZIas5BJkiQ1ZiGTJElqzEImSZLUmIVMkiSpMQuZJElSYxYySZKkxixkkiRJjVnIJEmSGrOQSZIkNWYhkyRJasxCJkmS1JiFTJIkqTELmSRJUmMWMkmSpMYsZJIkSY1ZyCRJkhqzkEmSJDVmIZMkSWrMQiZJktSYhUySJKkxC5kkSVJjE1fIkhyQ5HtJbk5yQus8kiRJfZuoQpZkK+AfgAOBpwFHJXla21SSJEn9mqhCBuwH3FxVP6yqXwH/CBzSOJMkSVKvJq2Q7QrcNnR/dTcmSZK0xUpVtc7wgCSHAwdU1eu7+68Fnl1Vxw89ZgmwpLu7D/C9TTT9QuAnm+h7bSpmGt0k5jLTaMw0uknMZabRmGl0k5hrU2X63aqammvFgk3wzTelNcBuQ/ef0o09oKqWAks39cRJllXV9Kb+vo+GmUY3ibnMNBozjW4Sc5lpNGYa3STmGkemSdtl+W1gryR7JHkscCRwceNMkiRJvZqoLWRVdW+S44GvAlsBp1XVDY1jSZIk9WqiChlAVV0CXNJg6k2+G3QTMNPoJjGXmUZjptFNYi4zjcZMo5vEXL1nmqiD+iVJkuajSTuGTJIkad6xkAFJViW5PsmKJMta5wFIsl2S85PclOTGJH/UOM8+3esze7srydtaZupyvT3JDUlWJjknyW9PQKa3dnluaPkaJTktyfokK4fGdkhyWZIfdF+3n4BMr+xeq/uTjP3Mqo1k+kj3b++6JBcl2W4CMv1dl2dFkkuT7DLOTBvLNbTunUkqycLWmZJ8IMmaoferg1pn6sb/qvu5uiHJh1tnSnLu0Gu0KsmKCci0OMlVs/8fJ9lvAjL9YZIru57w5STb9jJ5Vc37G7AKWNg6xwaZzgRe3y0/FtiudaahbFsBtzO4nkrLHLsCPwIe390/DzimcaanAyuBJzA4RvNfgN9rlOUFwDOAlUNjHwZO6JZPAD40AZl+n8E1Bb8GTE/I6/QSYEG3/KEJeZ22HVp+C/DpSXituvHdGJyMdeu430s38lp9APjrcb8+D5HpT7v3g8d193dsnWmD9ScD72udCbgUOLBbPgj42gRk+jbwJ93y64C/62Nut5BNoCRPZPBDcSpAVf2qqv5P01C/aX/glqq6tXUQBqXn8UkWMChBP26c5/eBq6vq7qq6F/g6cFiLIFV1BXDnBsOHMCj7dF9f3jpTVd1YVZvqAs8P20YyXdr9/QFcxeCaiK0z3TV0d2tg7AcAb+RnCuBjwN8wWZma2UimNwEnVtU93WPWT0AmAJIEOAI4ZwIyFTC7BeqJjPk9fSOZ9gau6JYvA17Rx9wWsoECLk2yvPskgNb2AGaA05Ncm+SzSbZuHWrIkYz5H+5cqmoNcBLwr8Ba4GdVdWnbVKwEnp/kSUmewOA3vN0e4jnjtFNVre2Wbwd2ahlmM/E64H+2DgGQ5INJbgNeDbyvdR6AJIcAa6rqO62zbOD4bhfvaePeNb8RezN4b7g6ydeTPKt1oCHPB9ZV1Q9aBwHeBnyk+zk/CXhX2zgA3MC/f672K+npPd1CNvC8qnoGcCDw5iQvaJxnAYNNpqdU1b7AvzHYvdRcd8Heg4EvTkCW7Rn8I9kD2AXYOslrWmaqqhsZ7OK6FPgKsAK4r2WmjanB9ndPs34QSd4D3Auc3ToLQFW9p6p2Y5Dn+Id6fN+6XzrezYSUwyGnAHsCixn8snZy0zQDC4AdgOcA/wU4r9syNQmOYgJ+ye68CXh793P+dro9RY29DvjPSZYD2wC/6mMSCxkPbGmZ3YR8ETDWgwjnsBpYXVVXd/fPZ1DQJsGBwDVVta51EODFwI+qaqaqfg1cCPxx40xU1alV9cyqegHwU+D7rTMNWZdkZ4Du61h3m2xOkhwDvAx4dVdeJ8nZ9LTb5GHak8EvRN9JsorBrt1rkjy5ZaiqWldV91XV/cBnaP+eDoP39Qtr4FvA/Qw+H7Gp7nCPw4BzW2fpHM3gvRwGv/g3/7urqpuq6iVV9UwGxfWWPuaZ94UsydZJtpldZnAw7/93BtE4VdXtwG1J9umG9ge+2zDSsEn6TepfgeckeUL3m+b+wI2NM5Fkx+7r7gze6L7QNtFvuJjBGx7d1y81zDKxkhzA4Jiog6vq7tZ5AJLsNXT3EOCmVllmVdX1VbVjVS2qqkUMSsczuvewZmZ/6egcSuP39M4/MTiwnyR7MzhZaxI+QPvFwE1Vtbp1kM6PgT/pll8ENN+NOvSe/hjgvcCne5lonGcvTOINeCrwne52A/Ce1pm6XIuBZcB1DP4hbz8BmbYG7gCe2DrLUKb/xuA/ppXA5+jOYGqc6RsMCvR3gP0b5jiHwe6aXzP4j/I44EnA5Qze5P4F2GECMh3aLd8DrAO+OgGZbgZuY7DLeQVjPqNxI5ku6H7OrwO+DOw6CT9TG6xfxfjPspzrtfoccH33Wl0M7DwBmR4LfL77O7wGeFHrTN34GcAbx/2z9CCv0/OA5d3759XAMycg01sZ7On4PnAi3UX1N/XNK/VLkiQ1Nu93WUqSJLVmIZMkSWrMQiZJktSYhUySJKkxC5kkSVJjFjJJkqTGLGSSNIIkxyT5VOsckrZMFjJJkqTGLGSS5o3uo9L+Ocl3kqxM8qokz0ryv7uxb81+lNpG7JLkK0l+kOTDYwsuaYu3oHUASRqjA4AfV9WfAyR5InAt8Kqq+naSbYFfPMjzFwP7MviYp+8l+WRV3dZzZknzgFvIJM0n1wN/luRDSZ4P7A6srapvA1TVXVV174M8//Kq+llV/ZLB55X+bv+RJc0HFjJJ80ZVfR94BoNi9vfAYQ/zW9wztHwf7mWQtIlYyCTNG0l2Ae6uqs8DHwGeDeyc5Fnd+m2SWLIkjZ1vPJLmk/8IfCTJ/cCvgTcBAT6Z5PEMjh97MfB/20WUNB+lqlpnkCRJmtfcZSlJktSYuywlaUiSlwIf2mD4R1V1aIs8kuYHd1lKkiQ15i5LSZKkxixkkiRJjVnIJEmSGrOQSZIkNWYhkyRJauz/AWhNr/JmcV6BAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "col_list =['clock_speed','fc','m_dep','n_cores', 'pc','sc_h','sc_w', 'talk_time']\n",
    "for col in col_list:\n",
    "    plt.figure(figsize=(10,5))\n",
    "    sns.countplot(x=col, data=data)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "35879bf0",
   "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>clock_speed</th>\n",
       "      <th>fc</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>price_range</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>842</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1</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>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1021</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</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>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>563</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2</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>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>615</td>\n",
       "      <td>2.5</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>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1821</td>\n",
       "      <td>1.2</td>\n",
       "      <td>13</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   battery_power  clock_speed  fc  int_memory  m_dep  mobile_wt  n_cores  pc  \\\n",
       "0            842          2.2   1           7    0.6        188        2   2   \n",
       "1           1021          0.5   0          53    0.7        136        3   6   \n",
       "2            563          0.5   2          41    0.9        145        5   6   \n",
       "3            615          2.5   0          10    0.8        131        6   9   \n",
       "4           1821          1.2  13          44    0.6        141        2  14   \n",
       "\n",
       "   px_height  px_width   ram  sc_h  sc_w  talk_time  price_range  \n",
       "0         20       756  2549     9     7         19            1  \n",
       "1        905      1988  2631    17     3          7            2  \n",
       "2       1263      1716  2603    11     2          9            2  \n",
       "3       1216      1786  2769    16     8         11            2  \n",
       "4       1208      1212  1411     8     2         15            1  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "70a0ff2f",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution of values of numerial variables\n",
    "for col in col_list:\n",
    "    plt.figure(figsize=(10,5))\n",
    "    sns.distplot(x=data[col],color=\"Purple\")\n",
    "    plt.xlabel(col)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dccdaa70",
   "metadata": {},
   "source": [
    "# 4.Splitting the data into train and test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "606bb751",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "2795d3bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y , test_size=0.4, random_state=101)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5daf8c3a",
   "metadata": {},
   "source": [
    "# 5.Building Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "37bd3059",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier()"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "model = KNeighborsClassifier()\n",
    "model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbf46291",
   "metadata": {},
   "source": [
    "# 5.1.Predicting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2622b4b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "adbcbe1f",
   "metadata": {},
   "source": [
    "# 5.2.Performance metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e5795bfd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import classification_report,confusion_matrix,accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "2e1c47fa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.96      0.96      0.96       186\n",
      "           1       0.86      0.94      0.90       189\n",
      "           2       0.90      0.86      0.88       229\n",
      "           3       0.94      0.91      0.93       196\n",
      "\n",
      "    accuracy                           0.91       800\n",
      "   macro avg       0.92      0.92      0.92       800\n",
      "weighted avg       0.91      0.91      0.91       800\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,y_pred,))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "93a36e61",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[179   7   0   0]\n",
      " [  7 177   5   0]\n",
      " [  0  21 196  12]\n",
      " [  0   0  17 179]]\n"
     ]
    }
   ],
   "source": [
    "print(confusion_matrix(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "66d181c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.91375\n"
     ]
    }
   ],
   "source": [
    "print(accuracy_score(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f32fa101",
   "metadata": {},
   "source": [
    "# 5.3.Chossing optimum K Value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "f1b61af7",
   "metadata": {},
   "outputs": [],
   "source": [
    "error_rate = []\n",
    "for i in range(1,40):\n",
    "    knn = KNeighborsClassifier(n_neighbors=i)\n",
    "    knn.fit(X_train,y_train)\n",
    "    pred_i= knn.predict(X_test)\n",
    "    error_rate.append(np.mean(pred_i != y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "3760b39f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,8))\n",
    "plt.plot(range(1,40),error_rate,color='blue',linestyle='dashed',marker='o',markerfacecolor='red',markersize=15)\n",
    "plt.title('Error Rate vs. K Value')\n",
    "plt.xlabel('K')\n",
    "plt.ylabel('Error Rate')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1f12b4b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "With K=18\n",
      "\n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.96      0.98      0.97       186\n",
      "           1       0.89      0.95      0.92       189\n",
      "           2       0.91      0.89      0.90       229\n",
      "           3       0.96      0.92      0.94       196\n",
      "\n",
      "    accuracy                           0.93       800\n",
      "   macro avg       0.93      0.93      0.93       800\n",
      "weighted avg       0.93      0.93      0.93       800\n",
      "\n",
      "\n",
      "\n",
      "[[182   4   0   0]\n",
      " [  7 179   3   0]\n",
      " [  0  18 204   7]\n",
      " [  0   0  16 180]]\n",
      "\n",
      "\n",
      "0.93125\n"
     ]
    }
   ],
   "source": [
    "# Using K=18\n",
    "model_18 = KNeighborsClassifier(n_neighbors=18)\n",
    "model_18.fit(X_train, y_train)\n",
    "y_pred_18 = model_18.predict(X_test)\n",
    "print(\"With K=18\")\n",
    "print(\"\\n\")\n",
    "print(classification_report(y_test,y_pred_18,))\n",
    "print(\"\\n\")\n",
    "print(confusion_matrix(y_test, y_pred_18))\n",
    "print(\"\\n\")\n",
    "print(accuracy_score(y_test,y_pred_18))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1627e2db",
   "metadata": {},
   "source": [
    "# Conclusion:-\n",
    "    * Optimal value of K = 18"
   ]
  }
 ],
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