predicting-app-ratings.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "jd8aUXgjIqc1"
   },
   "outputs": [],
   "source": [
    "import re\n",
    "import sys\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "\n",
    "import time\n",
    "import datetime\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "from sklearn import preprocessing\n",
    "\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import Ridge, Lasso\n",
    "\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import accuracy_score, mean_squared_error,mean_absolute_error,r2_score\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "38lGx_dvJz2L"
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"../input/googleplaystore.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "IzheISFfWu6L"
   },
   "source": [
    "## Data Exploration\n",
    "\n",
    "Exploring our data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 564
    },
    "colab_type": "code",
    "id": "e-e1aS2rNZsB",
    "outputId": "a4d51660-4496-4d76-dd4e-f2a058b5c199"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>159</td>\n",
       "      <td>19M</td>\n",
       "      <td>10,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>January 7, 2018</td>\n",
       "      <td>1.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Coloring book moana</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>3.9</td>\n",
       "      <td>967</td>\n",
       "      <td>14M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>January 15, 2018</td>\n",
       "      <td>2.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.7M</td>\n",
       "      <td>5,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>1.2.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sketch - Draw &amp; Paint</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>215644</td>\n",
       "      <td>25M</td>\n",
       "      <td>50,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>June 8, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.8M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>June 20, 2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 App      ...        Android Ver\n",
       "0     Photo Editor & Candy Camera & Grid & ScrapBook      ...       4.0.3 and up\n",
       "1                                Coloring book moana      ...       4.0.3 and up\n",
       "2  U Launcher Lite – FREE Live Cool Themes, Hide ...      ...       4.0.3 and up\n",
       "3                              Sketch - Draw & Paint      ...         4.2 and up\n",
       "4              Pixel Draw - Number Art Coloring Book      ...         4.4 and up\n",
       "\n",
       "[5 rows x 13 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print first few rows from data\n",
    "\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 600
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    "colab_type": "code",
    "id": "Tq9f9m-8Ai8A",
    "outputId": "ce702183-8a6b-4576-b4bc-a4919382ace5"
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   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10836</th>\n",
       "      <td>Sya9a Maroc - FR</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.5</td>\n",
       "      <td>38</td>\n",
       "      <td>53M</td>\n",
       "      <td>5,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>July 25, 2017</td>\n",
       "      <td>1.48</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10837</th>\n",
       "      <td>Fr. Mike Schmitz Audio Teachings</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3.6M</td>\n",
       "      <td>100+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>July 6, 2018</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10838</th>\n",
       "      <td>Parkinson Exercices FR</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>9.5M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>January 20, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10839</th>\n",
       "      <td>The SCP Foundation DB fr nn5n</td>\n",
       "      <td>BOOKS_AND_REFERENCE</td>\n",
       "      <td>4.5</td>\n",
       "      <td>114</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Mature 17+</td>\n",
       "      <td>Books &amp; Reference</td>\n",
       "      <td>January 19, 2015</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Varies with device</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10840</th>\n",
       "      <td>iHoroscope - 2018 Daily Horoscope &amp; Astrology</td>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>4.5</td>\n",
       "      <td>398307</td>\n",
       "      <td>19M</td>\n",
       "      <td>10,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Lifestyle</td>\n",
       "      <td>July 25, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Varies with device</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 App         ...                 Android Ver\n",
       "10836                               Sya9a Maroc - FR         ...                  4.1 and up\n",
       "10837               Fr. Mike Schmitz Audio Teachings         ...                  4.1 and up\n",
       "10838                         Parkinson Exercices FR         ...                  2.2 and up\n",
       "10839                  The SCP Foundation DB fr nn5n         ...          Varies with device\n",
       "10840  iHoroscope - 2018 Daily Horoscope & Astrology         ...          Varies with device\n",
       "\n",
       "[5 rows x 13 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print last few rows from data\n",
    "\n",
    "data.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 54
    },
    "colab_type": "code",
    "id": "KOWfmZBcNovC",
    "outputId": "0434e378-8284-4e20-846a-d7ed2b094623"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10841, 13)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Shape of data \n",
    "\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 343
    },
    "colab_type": "code",
    "id": "-bOFszeKceaY",
    "outputId": "43b392bb-294a-4916-cb05-040beaf6912b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10841 entries, 0 to 10840\n",
      "Data columns (total 13 columns):\n",
      "App               10841 non-null object\n",
      "Category          10841 non-null object\n",
      "Rating            9367 non-null float64\n",
      "Reviews           10841 non-null object\n",
      "Size              10841 non-null object\n",
      "Installs          10841 non-null object\n",
      "Type              10840 non-null object\n",
      "Price             10841 non-null object\n",
      "Content Rating    10840 non-null object\n",
      "Genres            10841 non-null object\n",
      "Last Updated      10841 non-null object\n",
      "Current Ver       10833 non-null object\n",
      "Android Ver       10838 non-null object\n",
      "dtypes: float64(1), object(12)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "# Basic information of data\n",
    "\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "QDZnn5a1XA3X"
   },
   "source": [
    "Looks like there are missing values in \"Rating\", \"Type\", \"Content Rating\", \"Current Ver\" and \" Android Ver\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 275
    },
    "colab_type": "code",
    "id": "_5S4m2kNcf3-",
    "outputId": "eb19b8ee-73fe-45a3-eb57-6033db83013b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "App                  0\n",
       "Category             0\n",
       "Rating            1474\n",
       "Reviews              0\n",
       "Size                 0\n",
       "Installs             0\n",
       "Type                 1\n",
       "Price                0\n",
       "Content Rating       1\n",
       "Genres               0\n",
       "Last Updated         0\n",
       "Current Ver          8\n",
       "Android Ver          3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking null values\n",
    "\n",
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 275
    },
    "colab_type": "code",
    "id": "a38bqSc3EyGE",
    "outputId": "7c6a945b-c3bf-4f74-aca3-6c5fb854f44a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "App                object\n",
       "Category           object\n",
       "Rating            float64\n",
       "Reviews            object\n",
       "Size               object\n",
       "Installs           object\n",
       "Type               object\n",
       "Price              object\n",
       "Content Rating     object\n",
       "Genres             object\n",
       "Last Updated       object\n",
       "Current Ver        object\n",
       "Android Ver        object\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Types of data\n",
    "\n",
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 317
    },
    "colab_type": "code",
    "id": "Ci6pngyUUcZN",
    "outputId": "04543d36-93b7-41a1-e83d-0adc4b0e4b3b"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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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>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>9367.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.193338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.537431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>19.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "            Rating\n",
       "count  9367.000000\n",
       "mean      4.193338\n",
       "std       0.537431\n",
       "min       1.000000\n",
       "25%       4.000000\n",
       "50%       4.300000\n",
       "75%       4.500000\n",
       "max      19.000000"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Describing our data\n",
    "\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 105
    },
    "colab_type": "code",
    "id": "tNp0zDyZhXpg",
    "outputId": "65dc7642-8d68-4ca6-c700-794ef750fadf"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['App', 'Category', 'Rating', 'Reviews', 'Size', 'Installs', 'Type',\n",
       "       'Price', 'Content Rating', 'Genres', 'Last Updated', 'Current Ver',\n",
       "       'Android Ver'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Columns present in our data\n",
    "\n",
    "data.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "HXKuMsQ2ob2F"
   },
   "source": [
    "## Data Cleaning\n",
    "\n",
    "*   Removing null values\n",
    "*   Filling missing values\n",
    "*   Remove certain characters from the string and convert it into usable format.\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "B6kEk1J29DYV"
   },
   "outputs": [],
   "source": [
    "# The best way to fill missing values might be using the median instead of mean\n",
    "\n",
    "data['Rating'] = data['Rating'].fillna(data['Rating'].median())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "zE5myBsVxYXY"
   },
   "outputs": [],
   "source": [
    "# Lets convert all the versions in the format number.number to simplify the data\n",
    "# We have to clean all non numerical values & unicode charachters \n",
    "\n",
    "replaces = [u'\\u00AE', u'\\u2013', u'\\u00C3', u'\\u00E3', u'\\u00B3', '[', ']', \"'\"]\n",
    "for i in replaces:\n",
    "    data['Current Ver'] = data['Current Ver'].astype(str).apply(lambda x : x.replace(i, ''))\n",
    "\n",
    "regex = [r'[-+|/:/;(_)@]', r'\\s+', r'[A-Za-z]+']\n",
    "for j in regex:\n",
    "    data['Current Ver'] = data['Current Ver'].astype(str).apply(lambda x : re.sub(j, '0', x))\n",
    "\n",
    "data['Current Ver'] = data['Current Ver'].astype(str).apply(lambda x : x.replace('.', ',',1).replace('.', '').replace(',', '.',1)).astype(float)\n",
    "data['Current Ver'] = data['Current Ver'].fillna(data['Current Ver'].median())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 190
    },
    "colab_type": "code",
    "id": "ZzvD6ye_jLVj",
    "outputId": "e2d3003e-0841-4ad9-a48a-c87552a90264"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['ART_AND_DESIGN', 'AUTO_AND_VEHICLES', 'BEAUTY',\n",
       "       'BOOKS_AND_REFERENCE', 'BUSINESS', 'COMICS', 'COMMUNICATION',\n",
       "       'DATING', 'EDUCATION', 'ENTERTAINMENT', 'EVENTS', 'FINANCE',\n",
       "       'FOOD_AND_DRINK', 'HEALTH_AND_FITNESS', 'HOUSE_AND_HOME',\n",
       "       'LIBRARIES_AND_DEMO', 'LIFESTYLE', 'GAME', 'FAMILY', 'MEDICAL',\n",
       "       'SOCIAL', 'SHOPPING', 'PHOTOGRAPHY', 'SPORTS', 'TRAVEL_AND_LOCAL',\n",
       "       'TOOLS', 'PERSONALIZATION', 'PRODUCTIVITY', 'PARENTING', 'WEATHER',\n",
       "       'VIDEO_PLAYERS', 'NEWS_AND_MAGAZINES', 'MAPS_AND_NAVIGATION',\n",
       "       '1.9'], dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Count the number of unique values in category column \n",
    "\n",
    "data['Category'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 185
    },
    "colab_type": "code",
    "id": "1l1BJK3FjRGq",
    "outputId": "5a8ff0b5-d775-4d1c-e342-d608e3a562e3"
   },
   "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>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10472</th>\n",
       "      <td>Life Made WI-Fi Touchscreen Photo Frame</td>\n",
       "      <td>1.9</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>NaN</td>\n",
       "      <td>February 11, 2018</td>\n",
       "      <td>1.0.19</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           App     ...     Android Ver\n",
       "10472  Life Made WI-Fi Touchscreen Photo Frame     ...             NaN\n",
       "\n",
       "[1 rows x 13 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the record  of unreasonable value which is 1.9\n",
    "i = data[data['Category'] == '1.9'].index\n",
    "data.loc[i]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "l8-ZRf6XjkEz"
   },
   "source": [
    "It's obvious that the first value of this record is missing (App name) and all other values are respectively propagated backward starting from \"Category\" towards the \"Current Ver\"; and the last column which is \"Android Ver\" is left null. It's better to drop the entire recored instead of consider these unreasonable values while cleaning each column!\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "GagpwJSzjdz3"
   },
   "outputs": [],
   "source": [
    "# Drop this bad column\n",
    "data = data.drop(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "9ULUHDCsjfBm"
   },
   "outputs": [],
   "source": [
    "# Removing NaN values\n",
    "data = data[pd.notnull(data['Last Updated'])]\n",
    "data = data[pd.notnull(data['Content Rating'])]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "NKoQTNUohfBb"
   },
   "source": [
    "## Plotting\n",
    "\n",
    "1.) Count of application according to Category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 514
    },
    "colab_type": "code",
    "id": "B0BJ5QLelXhE",
    "outputId": "1785b1cc-62dc-4acd-fd87-4d4b7c3a3f7e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Count of application according to category')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 10))\n",
    "sns.countplot(x='Category', data=data, palette='Set1')\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel('Categories', fontsize=20)\n",
    "plt.ylabel('Counts', fontsize=20)\n",
    "plt.title('Count of application according to category', fontsize=15, color='r')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Cct-0O9-o3aq"
   },
   "source": [
    "Seems like family and games category have quite large number \n",
    "\n",
    "2.) Let's look at the Rating distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 569
    },
    "colab_type": "code",
    "id": "nNBXi3GrkUv2",
    "outputId": "d943644a-d9eb-4a90-fb3a-61a59149f20b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of Rating')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pylab import rcParams\n",
    "\n",
    "rcParams['figure.figsize'] = 11.7, 8.27\n",
    "g = sns.kdeplot(data.Rating, color=\"Red\", shade = True)\n",
    "g.set_xlabel(\"Rating\")\n",
    "g.set_ylabel(\"Frequency\")\n",
    "plt.title('Distribution of Rating',size = 20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "7nTAK4zrq44k"
   },
   "source": [
    "3.) Let's check out the percentage of free apps in data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 344
    },
    "colab_type": "code",
    "id": "hnsLsZCGk5Wf",
    "outputId": "96a37e61-3b78-41ff-ab9a-e0af3ba760d9"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels =data['Type'].value_counts(sort = True).index\n",
    "sizes = data['Type'].value_counts(sort = True)\n",
    "\n",
    "\n",
    "colors = [\"lightblue\",\"orangered\"]\n",
    "explode = (0.1,0)  # explode 1st slice\n",
    " \n",
    "rcParams['figure.figsize'] = 5,5\n",
    "# Plot\n",
    "plt.pie(sizes, explode=explode, labels=labels, colors=colors,\n",
    "        autopct='%1.1f%%', shadow=True, startangle=150,)\n",
    "\n",
    "plt.title('Percent of Free App in data', size = 15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "5zl5zuIV_k5n"
   },
   "source": [
    "Majority of the apps are free\n",
    "\n",
    "4.) Category Distribution\n",
    "\n",
    "*   Wordcloud represents categories with highest number of active apps \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 484
    },
    "colab_type": "code",
    "id": "I67BLffj_ff9",
    "outputId": "54a73233-4830-4451-b8ad-277c316d5e89"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from wordcloud import WordCloud\n",
    "wordcloud1 = WordCloud(max_font_size=350, collocations=False, max_words=33, width=1600, height=800, background_color=\"white\").generate(' '.join(data['Category']))\n",
    "plt.figure(figsize=(12,8))\n",
    "plt.imshow(wordcloud1, interpolation=\"bilinear\")\n",
    "plt.axis(\"off\")\n",
    "plt.tight_layout(pad=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "YG9WpsMaDjIK"
   },
   "source": [
    "5.) Content Distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 520
    },
    "colab_type": "code",
    "id": "pthwxHIECWXt",
    "outputId": "0b7a6575-0db5-4692-c8ca-74cb66e7dbb9"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,8))\n",
    "ax = sns.countplot(y='Content Rating', data=data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "62vJH90epGVZ"
   },
   "source": [
    "## Categorical Data Encoding\n",
    "\n",
    "We need to convert categorical features (strings) to numerical features (numbers). \n",
    "\n",
    "Many machine learning algorithms can support categorical values without further manipulation but there are many more algorithms that do not. We need to make all data ready for the model, so we will convert categorical variables (variables that stored as text values) into numerical variables. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Dy0B3iS-DqIB"
   },
   "outputs": [],
   "source": [
    "# App values encoding\n",
    "\n",
    "LE = preprocessing.LabelEncoder()\n",
    "data['App'] = LE.fit_transform(data['App'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "shZmY2Vbrvbm"
   },
   "outputs": [],
   "source": [
    "# Category features encoding\n",
    "\n",
    "CategoryList = data['Category'].unique().tolist() \n",
    "CategoryList = ['cat_' + word for word in CategoryList]\n",
    "data = pd.concat([data, pd.get_dummies(data['Category'], prefix='cat')], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "GXxJpIfcspjE"
   },
   "outputs": [],
   "source": [
    "# Genres features encoding\n",
    "\n",
    "LE = preprocessing.LabelEncoder()\n",
    "data['Genres'] = LE.fit_transform(data['Genres'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "yw4nL2B1s6Eg"
   },
   "outputs": [],
   "source": [
    "# Content Rating features encoding\n",
    "\n",
    "LE = preprocessing.LabelEncoder()\n",
    "data['Content Rating'] = LE.fit_transform(data['Content Rating'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "boBg8UZitEv0"
   },
   "outputs": [],
   "source": [
    "# Type encoding\n",
    "\n",
    "data['Type'] = pd.get_dummies(data['Type'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "sSB4Ov78tNk8"
   },
   "outputs": [],
   "source": [
    "# Last Updated encoding\n",
    "\n",
    "data['Last Updated'] = data['Last Updated'].apply(lambda x : time.mktime(datetime.datetime.strptime(x, '%B %d, %Y').timetuple()))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "2yLRRjk6ujE_"
   },
   "outputs": [],
   "source": [
    "# Price cleaning\n",
    "\n",
    "data['Price'] = data['Price'].apply(lambda x : x.strip('$'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "l4pfGlpTujCL"
   },
   "outputs": [],
   "source": [
    "# Installs cleaning\n",
    "\n",
    "data['Installs'] = data['Installs'].apply(lambda x : x.strip('+').replace(',', ''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "_WNCak97ui_j"
   },
   "outputs": [],
   "source": [
    "# Convert kbytes to Mbytes\n",
    "\n",
    "k_indices = data['Size'].loc[data['Size'].str.contains('k')].index.tolist()\n",
    "\n",
    "converter = pd.DataFrame(data.loc[k_indices, 'Size'].apply(lambda x: x.strip('k')).astype(float).apply(lambda x: x / 1024).apply(lambda x: round(x, 3)).astype(str))\n",
    "\n",
    "data.loc[k_indices,'Size'] = converter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "vKZRFm62ui9J"
   },
   "outputs": [],
   "source": [
    "# Size cleaning\n",
    "\n",
    "data['Size'] = data['Size'].apply(lambda x: x.strip('M'))\n",
    "data[data['Size'] == 'Varies with device'] = 0\n",
    "data['Size'] = data['Size'].astype(float)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "vKYqwcykuLor"
   },
   "source": [
    "## Building Machine Learning Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "OOJ6QIuqt4w_"
   },
   "outputs": [],
   "source": [
    "features = ['App', 'Reviews', 'Size', 'Installs', 'Type', 'Price', 'Content Rating', 'Genres', 'Last Updated', 'Current Ver']\n",
    "features.extend(CategoryList)\n",
    "\n",
    "X = data[features]\n",
    "y = data['Rating']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "P6f0qmqbvGNS"
   },
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.30, random_state=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "sE-GSXme06JD"
   },
   "source": [
    "#### Decision Tree Regression\n",
    "\n",
    "Decision tree regression observes features of an object and trains a model in the structure of a tree to predict data in the future to produce meaningful continuous output. Continuous output means that the output/result is not discrete, i.e., it is not represented just by a discrete, known set of numbers or values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "YxYcxQtXrJpg"
   },
   "outputs": [],
   "source": [
    "from sklearn import tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "4eKBr3i1wIBo"
   },
   "outputs": [],
   "source": [
    "clf = tree.DecisionTreeRegressor(criterion='mae', max_depth=5, min_samples_leaf=5, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 102
    },
    "colab_type": "code",
    "id": "frzeCnGEwctT",
    "outputId": "3b9c65b4-7ac7-44d2-a376-8f2da731c3c2"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeRegressor(criterion='mae', max_depth=5, max_features=None,\n",
       "           max_leaf_nodes=None, min_impurity_decrease=0.0,\n",
       "           min_impurity_split=None, min_samples_leaf=5,\n",
       "           min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "           presort=False, random_state=42, splitter='best')"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "p9dJh3Ruwl1Q",
    "outputId": "d3a00e08-0645-4327-91c0-228d596264cf"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9258017869284529"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy = clf.score(X_test, y_test)\n",
    "accuracy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "HLjY_dKCv1gr"
   },
   "source": [
    "#### Random Forest Regression Model\n",
    "\n",
    "The RandomForestRegressor class of the sklearn.ensemble library is used to solve regression problems via random forest. The most important parameter of the RandomForestRegressor class is the n_estimators parameter. This parameter defines the number of trees in the random forest.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "0_04rE6J7JvW"
   },
   "outputs": [],
   "source": [
    "model = RandomForestRegressor(n_estimators = 200, n_jobs=-1, random_state=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 119
    },
    "colab_type": "code",
    "id": "N6rXivBO5hio",
    "outputId": "2f027e0a-5feb-486d-c08a-c8176aa7944e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,\n",
       "           max_features='auto', max_leaf_nodes=None,\n",
       "           min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "           min_samples_leaf=1, min_samples_split=2,\n",
       "           min_weight_fraction_leaf=0.0, n_estimators=200, n_jobs=-1,\n",
       "           oob_score=False, random_state=10, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "0_3CqKCJ5lQH",
    "outputId": "e03516dc-aeae-4e9d-9957-cd45a2d6bc27"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9366393168860417"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc = model.score(X_test, y_test)\n",
    "acc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "11loTYT85pmY",
    "outputId": "5c960ee8-f2be-4e3d-d98c-ea612d616a10"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Mean Absolute Error:', 0.24574338868388707)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Pred = model.predict(X_test)\n",
    "'Mean Absolute Error:', metrics.mean_absolute_error(y_test, Pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "BvHQ4WvXw2q8",
    "outputId": "73a7227e-7336-49e4-fe3e-8993ba8b2808"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Mean Squared Error:', 0.16299859109778597)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'Mean Squared Error:', metrics.mean_squared_error(y_test, Pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "dNkNuS3jw8W-",
    "outputId": "fbcdbfc4-843a-4736-de75-598311116d6c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Root Mean Squared Error:', 0.4037308399141512)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'Root Mean Squared Error:', np.sqrt(metrics.mean_squared_error(y_test, Pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "5GBsLRukKSij"
   },
   "source": [
    "## Feature Selection\n",
    "\n",
    "Feature selection is a process where you automatically select those features in your data that contribute most to the prediction variable or output in which you are interested. \n",
    "\n",
    "Three benefits of performing feature selection before modeling your data are:\n",
    "\n",
    "*  **Reduces Overfitting:** Less redundant data means less opportunity to make decisions based on noise.\n",
    "*  **Improves Accuracy:** Less misleading data means modeling accuracy improves.\n",
    "*  **Reduces Training Time:** Less data means that algorithms train faster."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "yYqHXy4Wxb4A"
   },
   "source": [
    "### Cross-Validation\n",
    "\n",
    "### Splitting into training and CV for Cross-Validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "nPmkjouPxia8"
   },
   "outputs": [],
   "source": [
    "X = data.loc[:,['Reviews', 'Size', 'Installs', 'Content Rating']]\n",
    "\n",
    "x_train, x_cv, y_train, y_cv = train_test_split(X, data.Rating)\n",
    "\n",
    "clf = tree.DecisionTreeRegressor(criterion='mae', max_depth=5, min_samples_leaf=5, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 102
    },
    "colab_type": "code",
    "id": "fP0q5arAc-Rq",
    "outputId": "cfdb1896-ef0b-415a-b7dd-54732f6ce8ca"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeRegressor(criterion='mae', max_depth=5, max_features=None,\n",
       "           max_leaf_nodes=None, min_impurity_decrease=0.0,\n",
       "           min_impurity_split=None, min_samples_leaf=5,\n",
       "           min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "           presort=False, random_state=42, splitter='best')"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf.fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "i0OsS8_xHxQ3",
    "outputId": "926b2560-b47c-4710-9abb-afd968137d8b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9136157728084013"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ac = clf.score(x_cv, y_cv)\n",
    "ac"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Thanks for reading this kernel till here. If you like it, please upvote this kernel. This will help me to write more.**\n",
    "\n",
    "**If you have doubts please leave a comment.**\n",
    "\n",
    "**Thanks!!**"
   ]
  }
 ],
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   "name": "Predicting_App_Ratings.ipynb",
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