SMS-Spam-Detection.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ea632ea5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ce6a2115",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"spam.csv\", encoding = ('ISO-8859-1'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "81264067",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>v1</th>\n",
       "      <th>v2</th>\n",
       "      <th>Unnamed: 2</th>\n",
       "      <th>Unnamed: 3</th>\n",
       "      <th>Unnamed: 4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>582</th>\n",
       "      <td>spam</td>\n",
       "      <td>We tried to contact you re your reply to our o...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4883</th>\n",
       "      <td>ham</td>\n",
       "      <td>For many things its an antibiotic and it can b...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1918</th>\n",
       "      <td>ham</td>\n",
       "      <td>Is fujitsu s series lifebook good?</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1907</th>\n",
       "      <td>ham</td>\n",
       "      <td>ELLO BABE U OK?</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>ham</td>\n",
       "      <td>What you thinked about me. First time you saw ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        v1                                                 v2 Unnamed: 2  \\\n",
       "582   spam  We tried to contact you re your reply to our o...        NaN   \n",
       "4883   ham  For many things its an antibiotic and it can b...        NaN   \n",
       "1918   ham                 Is fujitsu s series lifebook good?        NaN   \n",
       "1907   ham                                    ELLO BABE U OK?        NaN   \n",
       "50     ham  What you thinked about me. First time you saw ...        NaN   \n",
       "\n",
       "     Unnamed: 3 Unnamed: 4  \n",
       "582         NaN        NaN  \n",
       "4883        NaN        NaN  \n",
       "1918        NaN        NaN  \n",
       "1907        NaN        NaN  \n",
       "50          NaN        NaN  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e15742f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5572, 5)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e14616b4",
   "metadata": {},
   "source": [
    "## 1. Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6d14ea16",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5572 entries, 0 to 5571\n",
      "Data columns (total 5 columns):\n",
      " #   Column      Non-Null Count  Dtype \n",
      "---  ------      --------------  ----- \n",
      " 0   v1          5572 non-null   object\n",
      " 1   v2          5572 non-null   object\n",
      " 2   Unnamed: 2  50 non-null     object\n",
      " 3   Unnamed: 3  12 non-null     object\n",
      " 4   Unnamed: 4  6 non-null      object\n",
      "dtypes: object(5)\n",
      "memory usage: 217.8+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "389003dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Droping last 3 columns\n",
    "df.drop(columns=['Unnamed: 2','Unnamed: 3','Unnamed: 4'], inplace= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a7848d24",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>v1</th>\n",
       "      <th>v2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>ham</td>\n",
       "      <td>Do whatever you want. You know what the rules ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3728</th>\n",
       "      <td>ham</td>\n",
       "      <td>I'm at home. Please call</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4051</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ya ok, then had dinner?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4863</th>\n",
       "      <td>ham</td>\n",
       "      <td>Sorry da..today i wont come to play..i have dr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>ham</td>\n",
       "      <td>MY NO. IN LUTON 0125698789 RING ME IF UR AROUN...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "       v1                                                 v2\n",
       "2011  ham  Do whatever you want. You know what the rules ...\n",
       "3728  ham                           I'm at home. Please call\n",
       "4051  ham                            Ya ok, then had dinner?\n",
       "4863  ham  Sorry da..today i wont come to play..i have dr...\n",
       "262   ham  MY NO. IN LUTON 0125698789 RING ME IF UR AROUN..."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "368eda13",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>target</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4587</th>\n",
       "      <td>ham</td>\n",
       "      <td>I wanted to wish you a Happy New Year and I wa...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4343</th>\n",
       "      <td>ham</td>\n",
       "      <td>Hi:)did you asked to waheeda fathima about leave?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3964</th>\n",
       "      <td>ham</td>\n",
       "      <td>Love you aathi..love u lot..</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3912</th>\n",
       "      <td>ham</td>\n",
       "      <td>Yeah whatever lol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2269</th>\n",
       "      <td>ham</td>\n",
       "      <td>Haha i think i did too</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     target                                               text\n",
       "4587    ham  I wanted to wish you a Happy New Year and I wa...\n",
       "4343    ham  Hi:)did you asked to waheeda fathima about leave?\n",
       "3964    ham                       Love you aathi..love u lot..\n",
       "3912    ham                                  Yeah whatever lol\n",
       "2269    ham                             Haha i think i did too"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Renaming the columns for Better use \n",
    "df.rename(columns = {'v1':'target','v2':'text'}, inplace = True)\n",
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ae4a185d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Changing \"ham\" = 0 and \"spam\" = 1 in target\n",
    "\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "encoder = LabelEncoder()\n",
    "df['target'] = encoder.fit_transform(df['target'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8ed3bf95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>target</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   target                                               text\n",
       "0       0  Go until jurong point, crazy.. Available only ...\n",
       "1       0                      Ok lar... Joking wif u oni...\n",
       "2       1  Free entry in 2 a wkly comp to win FA Cup fina...\n",
       "3       0  U dun say so early hor... U c already then say...\n",
       "4       0  Nah I don't think he goes to usf, he lives aro..."
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c17dbdfc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "target    0\n",
       "text      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking for missing values\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "70d7929c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "403"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking and removing duplicates \n",
    "df.duplicated().sum()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "66517c5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop_duplicates(keep = 'first')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2e94b4e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5169, 2)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80771be2",
   "metadata": {},
   "source": [
    "## 2. Exploratory Data Analysis (EDA)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "42f155dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    4516\n",
       "1     653\n",
       "Name: target, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['target'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "450d87ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.pie(df['target'].value_counts(), labels=['ham','spam'], autopct = \"%0.4f\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b8442eb4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data is Imbalanced \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "05646dc4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to /Users/pravesh/nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import nltk\n",
    "nltk.download('punkt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c724246f",
   "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>target</th>\n",
       "      <th>text</th>\n",
       "      <th>number-char</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "      <td>155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   target                                               text  number-char\n",
       "0       0  Go until jurong point, crazy.. Available only ...          111\n",
       "1       0                      Ok lar... Joking wif u oni...           29\n",
       "2       1  Free entry in 2 a wkly comp to win FA Cup fina...          155\n",
       "3       0  U dun say so early hor... U c already then say...           49\n",
       "4       0  Nah I don't think he goes to usf, he lives aro...           61"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Counting number of characters in a message \n",
    "df['number-char'] = df['text'].apply(len)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "31c58633",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       24\n",
       "1        8\n",
       "2       37\n",
       "3       13\n",
       "4       15\n",
       "        ..\n",
       "5567    35\n",
       "5568     9\n",
       "5569    15\n",
       "5570    27\n",
       "5571     7\n",
       "Name: text, Length: 5169, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Counting Number of words\n",
    "df['text'].apply(lambda x:len(nltk.word_tokenize(x)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "bc57c178",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['num-words'] = df['text'].apply(lambda x:len(nltk.word_tokenize(x)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ffe6f8f2",
   "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>target</th>\n",
       "      <th>text</th>\n",
       "      <th>number-char</th>\n",
       "      <th>num-words</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "      <td>111</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "      <td>29</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "      <td>155</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "      <td>49</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "      <td>61</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   target                                               text  number-char  \\\n",
       "0       0  Go until jurong point, crazy.. Available only ...          111   \n",
       "1       0                      Ok lar... Joking wif u oni...           29   \n",
       "2       1  Free entry in 2 a wkly comp to win FA Cup fina...          155   \n",
       "3       0  U dun say so early hor... U c already then say...           49   \n",
       "4       0  Nah I don't think he goes to usf, he lives aro...           61   \n",
       "\n",
       "   num-words  \n",
       "0         24  \n",
       "1          8  \n",
       "2         37  \n",
       "3         13  \n",
       "4         15  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "0702676d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>5567</th>\n",
       "      <td>1</td>\n",
       "      <td>This is the 2nd time we have tried 2 contact u...</td>\n",
       "      <td>161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5568</th>\n",
       "      <td>0</td>\n",
       "      <td>Will Ì_ b going to esplanade fr home?</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5569</th>\n",
       "      <td>0</td>\n",
       "      <td>Pity, * was in mood for that. So...any other s...</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5570</th>\n",
       "      <td>0</td>\n",
       "      <td>The guy did some bitching but I acted like i'd...</td>\n",
       "      <td>125</td>\n",
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       "    <tr>\n",
       "      <th>5571</th>\n",
       "      <td>0</td>\n",
       "      <td>Rofl. Its true to its name</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5169 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      target                                               text  number-char\n",
       "0          0  Go until jurong point, crazy.. Available only ...          111\n",
       "1          0                      Ok lar... Joking wif u oni...           29\n",
       "2          1  Free entry in 2 a wkly comp to win FA Cup fina...          155\n",
       "3          0  U dun say so early hor... U c already then say...           49\n",
       "4          0  Nah I don't think he goes to usf, he lives aro...           61\n",
       "...      ...                                                ...          ...\n",
       "5567       1  This is the 2nd time we have tried 2 contact u...          161\n",
       "5568       0              Will Ì_ b going to esplanade fr home?           37\n",
       "5569       0  Pity, * was in mood for that. So...any other s...           57\n",
       "5570       0  The guy did some bitching but I acted like i'd...          125\n",
       "5571       0                         Rofl. Its true to its name           26\n",
       "\n",
       "[5169 rows x 3 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop(['num-words'], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9c785c98",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Counting Number of sentences \n",
    "df['num_sentences'] = df['text'].apply(lambda x:len(nltk.sent_tokenize(x)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bfb4a774",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "   target                                               text  number-char  \\\n",
       "0       0  Go until jurong point, crazy.. Available only ...          111   \n",
       "1       0                      Ok lar... Joking wif u oni...           29   \n",
       "2       1  Free entry in 2 a wkly comp to win FA Cup fina...          155   \n",
       "3       0  U dun say so early hor... U c already then say...           49   \n",
       "4       0  Nah I don't think he goes to usf, he lives aro...           61   \n",
       "\n",
       "   num-words  num_sentences  \n",
       "0         24              2  \n",
       "1          8              2  \n",
       "2         37              2  \n",
       "3         13              1  \n",
       "4         15              1  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "00efe3a4",
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>This is the 2nd time we have tried 2 contact u...</td>\n",
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       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>5568</th>\n",
       "      <td>0</td>\n",
       "      <td>Will Ì_ b going to esplanade fr home?</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5569</th>\n",
       "      <td>0</td>\n",
       "      <td>Pity, * was in mood for that. So...any other s...</td>\n",
       "      <td>57</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>5570</th>\n",
       "      <td>0</td>\n",
       "      <td>The guy did some bitching but I acted like i'd...</td>\n",
       "      <td>125</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5571</th>\n",
       "      <td>0</td>\n",
       "      <td>Rofl. Its true to its name</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5169 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      target                                               text  number-char  \\\n",
       "0          0  Go until jurong point, crazy.. Available only ...          111   \n",
       "1          0                      Ok lar... Joking wif u oni...           29   \n",
       "2          1  Free entry in 2 a wkly comp to win FA Cup fina...          155   \n",
       "3          0  U dun say so early hor... U c already then say...           49   \n",
       "4          0  Nah I don't think he goes to usf, he lives aro...           61   \n",
       "...      ...                                                ...          ...   \n",
       "5567       1  This is the 2nd time we have tried 2 contact u...          161   \n",
       "5568       0              Will Ì_ b going to esplanade fr home?           37   \n",
       "5569       0  Pity, * was in mood for that. So...any other s...           57   \n",
       "5570       0  The guy did some bitching but I acted like i'd...          125   \n",
       "5571       0                         Rofl. Its true to its name           26   \n",
       "\n",
       "      num_sentences  \n",
       "0                 2  \n",
       "1                 2  \n",
       "2                 2  \n",
       "3                 1  \n",
       "4                 1  \n",
       "...             ...  \n",
       "5567              4  \n",
       "5568              1  \n",
       "5569              2  \n",
       "5570              1  \n",
       "5571              2  \n",
       "\n",
       "[5169 rows x 4 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop(['num-words'], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "2148dcb5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>number-char</th>\n",
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       "      <td>5169.000000</td>\n",
       "      <td>5169.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>78.977945</td>\n",
       "      <td>18.453279</td>\n",
       "      <td>1.947185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>58.236293</td>\n",
       "      <td>13.324793</td>\n",
       "      <td>1.362406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>36.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>117.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
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       "      <td>220.000000</td>\n",
       "      <td>28.000000</td>\n",
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      "text/plain": [
       "       number-char    num-words  num_sentences\n",
       "count  5169.000000  5169.000000    5169.000000\n",
       "mean     78.977945    18.453279       1.947185\n",
       "std      58.236293    13.324793       1.362406\n",
       "min       2.000000     1.000000       1.000000\n",
       "25%      36.000000     9.000000       1.000000\n",
       "50%      60.000000    15.000000       1.000000\n",
       "75%     117.000000    26.000000       2.000000\n",
       "max     910.000000   220.000000      28.000000"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['number-char', 'num-words', 'num_sentences']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "15acd3d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>4516.000000</td>\n",
       "      <td>4516.000000</td>\n",
       "      <td>4516.000000</td>\n",
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       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>70.459256</td>\n",
       "      <td>17.120903</td>\n",
       "      <td>1.799601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>56.358207</td>\n",
       "      <td>13.493725</td>\n",
       "      <td>1.278465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.000000</td>\n",
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       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>34.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <th>50%</th>\n",
       "      <td>52.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>90.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>2.000000</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>910.000000</td>\n",
       "      <td>220.000000</td>\n",
       "      <td>28.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       number-char    num-words  num_sentences\n",
       "count  4516.000000  4516.000000    4516.000000\n",
       "mean     70.459256    17.120903       1.799601\n",
       "std      56.358207    13.493725       1.278465\n",
       "min       2.000000     1.000000       1.000000\n",
       "25%      34.000000     8.000000       1.000000\n",
       "50%      52.000000    13.000000       1.000000\n",
       "75%      90.000000    22.000000       2.000000\n",
       "max     910.000000   220.000000      28.000000"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# For Ham\n",
    "df[df['target']==0][['number-char', 'num-words', 'num_sentences']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "0572f95e",
   "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>number-char</th>\n",
       "      <th>num-words</th>\n",
       "      <th>num_sentences</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>653.000000</td>\n",
       "      <td>653.000000</td>\n",
       "      <td>653.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>137.891271</td>\n",
       "      <td>27.667688</td>\n",
       "      <td>2.967841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>30.137753</td>\n",
       "      <td>7.008418</td>\n",
       "      <td>1.483201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>13.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>132.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>149.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>157.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>224.000000</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       number-char   num-words  num_sentences\n",
       "count   653.000000  653.000000     653.000000\n",
       "mean    137.891271   27.667688       2.967841\n",
       "std      30.137753    7.008418       1.483201\n",
       "min      13.000000    2.000000       1.000000\n",
       "25%     132.000000   25.000000       2.000000\n",
       "50%     149.000000   29.000000       3.000000\n",
       "75%     157.000000   32.000000       4.000000\n",
       "max     224.000000   46.000000       8.000000"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# For Spam\n",
    "df[df['target']==1][['number-char', 'num-words', 'num_sentences']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "138c4aad",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "0a7a85b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='number-char', ylabel='Count'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Ploting histogram \n",
    "plt.figure(figsize=(10,5))\n",
    "sns.histplot(df[df['target']==0]['number-char'])\n",
    "sns.histplot(df[df['target']==1]['number-char'], color='red')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "938793a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='num-words', ylabel='Count'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "sns.histplot(df[df['target']==0]['num-words'])\n",
    "sns.histplot(df[df['target']==1]['num-words'], color='red')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "4a28e3f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7fb4aaa47df0>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 808.875x750 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df,hue='target')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "ab6abd04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(df.corr(),annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7fc1e2c6",
   "metadata": {},
   "source": [
    "## 3. Data Preprocessing\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "a45b31fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.corpus import stopwords\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "fe19c911",
   "metadata": {},
   "outputs": [],
   "source": [
    "def transform_text(text):\n",
    "    text = text.lower()\n",
    "    text = nltk.word_tokenize(text)\n",
    "    \n",
    "    y = []\n",
    "    for i in text:\n",
    "        if i.isalnum():\n",
    "            y.append(i)\n",
    "    \n",
    "    text = y[:]\n",
    "    y.clear()\n",
    "    \n",
    "    for i in text:\n",
    "        if i not in stopwords.words('english') and i not in string.punctuation:\n",
    "            y.append(i)\n",
    "            \n",
    "    text = y[:]\n",
    "    y.clear()\n",
    "    \n",
    "    for i in text:\n",
    "        y.append(ps.stem(i))\n",
    "    \n",
    "            \n",
    "    return \" \".join(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "cf661f79",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     /Users/pravesh/nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['i',\n",
       " 'me',\n",
       " 'my',\n",
       " 'myself',\n",
       " 'we',\n",
       " 'our',\n",
       " 'ours',\n",
       " 'ourselves',\n",
       " 'you',\n",
       " \"you're\",\n",
       " \"you've\",\n",
       " \"you'll\",\n",
       " \"you'd\",\n",
       " 'your',\n",
       " 'yours',\n",
       " 'yourself',\n",
       " 'yourselves',\n",
       " 'he',\n",
       " 'him',\n",
       " 'his',\n",
       " 'himself',\n",
       " 'she',\n",
       " \"she's\",\n",
       " 'her',\n",
       " 'hers',\n",
       " 'herself',\n",
       " 'it',\n",
       " \"it's\",\n",
       " 'its',\n",
       " 'itself',\n",
       " 'they',\n",
       " 'them',\n",
       " 'their',\n",
       " 'theirs',\n",
       " 'themselves',\n",
       " 'what',\n",
       " 'which',\n",
       " 'who',\n",
       " 'whom',\n",
       " 'this',\n",
       " 'that',\n",
       " \"that'll\",\n",
       " 'these',\n",
       " 'those',\n",
       " 'am',\n",
       " 'is',\n",
       " 'are',\n",
       " 'was',\n",
       " 'were',\n",
       " 'be',\n",
       " 'been',\n",
       " 'being',\n",
       " 'have',\n",
       " 'has',\n",
       " 'had',\n",
       " 'having',\n",
       " 'do',\n",
       " 'does',\n",
       " 'did',\n",
       " 'doing',\n",
       " 'a',\n",
       " 'an',\n",
       " 'the',\n",
       " 'and',\n",
       " 'but',\n",
       " 'if',\n",
       " 'or',\n",
       " 'because',\n",
       " 'as',\n",
       " 'until',\n",
       " 'while',\n",
       " 'of',\n",
       " 'at',\n",
       " 'by',\n",
       " 'for',\n",
       " 'with',\n",
       " 'about',\n",
       " 'against',\n",
       " 'between',\n",
       " 'into',\n",
       " 'through',\n",
       " 'during',\n",
       " 'before',\n",
       " 'after',\n",
       " 'above',\n",
       " 'below',\n",
       " 'to',\n",
       " 'from',\n",
       " 'up',\n",
       " 'down',\n",
       " 'in',\n",
       " 'out',\n",
       " 'on',\n",
       " 'off',\n",
       " 'over',\n",
       " 'under',\n",
       " 'again',\n",
       " 'further',\n",
       " 'then',\n",
       " 'once',\n",
       " 'here',\n",
       " 'there',\n",
       " 'when',\n",
       " 'where',\n",
       " 'why',\n",
       " 'how',\n",
       " 'all',\n",
       " 'any',\n",
       " 'both',\n",
       " 'each',\n",
       " 'few',\n",
       " 'more',\n",
       " 'most',\n",
       " 'other',\n",
       " 'some',\n",
       " 'such',\n",
       " 'no',\n",
       " 'nor',\n",
       " 'not',\n",
       " 'only',\n",
       " 'own',\n",
       " 'same',\n",
       " 'so',\n",
       " 'than',\n",
       " 'too',\n",
       " 'very',\n",
       " 's',\n",
       " 't',\n",
       " 'can',\n",
       " 'will',\n",
       " 'just',\n",
       " 'don',\n",
       " \"don't\",\n",
       " 'should',\n",
       " \"should've\",\n",
       " 'now',\n",
       " 'd',\n",
       " 'll',\n",
       " 'm',\n",
       " 'o',\n",
       " 're',\n",
       " 've',\n",
       " 'y',\n",
       " 'ain',\n",
       " 'aren',\n",
       " \"aren't\",\n",
       " 'couldn',\n",
       " \"couldn't\",\n",
       " 'didn',\n",
       " \"didn't\",\n",
       " 'doesn',\n",
       " \"doesn't\",\n",
       " 'hadn',\n",
       " \"hadn't\",\n",
       " 'hasn',\n",
       " \"hasn't\",\n",
       " 'haven',\n",
       " \"haven't\",\n",
       " 'isn',\n",
       " \"isn't\",\n",
       " 'ma',\n",
       " 'mightn',\n",
       " \"mightn't\",\n",
       " 'mustn',\n",
       " \"mustn't\",\n",
       " 'needn',\n",
       " \"needn't\",\n",
       " 'shan',\n",
       " \"shan't\",\n",
       " 'shouldn',\n",
       " \"shouldn't\",\n",
       " 'wasn',\n",
       " \"wasn't\",\n",
       " 'weren',\n",
       " \"weren't\",\n",
       " 'won',\n",
       " \"won't\",\n",
       " 'wouldn',\n",
       " \"wouldn't\"]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nltk.download('stopwords')\n",
    "stopwords.words('english')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "389f5668",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'!\"#$%&\\'()*+,-./:;<=>?@[\\\\]^_`{|}~'"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import string\n",
    "string.punctuation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "c47a1cf6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'love'"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from nltk.stem.porter import PorterStemmer\n",
    "ps = PorterStemmer()\n",
    "ps.stem('loving')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "9c447028",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'hi pravesh'"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transform_text('Hi! how are you Pravesh?')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "0da04348",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'run'"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ps.stem('running')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "12974fe0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'gon na home soon want talk stuff anymor tonight k cri enough today'"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transform_text(df['text'][10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "0de85fd9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['transformed_text'] = df['text'].apply(transform_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "b0818203",
   "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>target</th>\n",
       "      <th>text</th>\n",
       "      <th>number-char</th>\n",
       "      <th>num-words</th>\n",
       "      <th>num_sentences</th>\n",
       "      <th>transformed_text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "      <td>111</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>go jurong point crazi avail bugi n great world...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "      <td>29</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>ok lar joke wif u oni</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "      <td>155</td>\n",
       "      <td>37</td>\n",
       "      <td>2</td>\n",
       "      <td>free entri 2 wkli comp win fa cup final tkt 21...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "      <td>49</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>u dun say earli hor u c alreadi say</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "      <td>61</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>nah think goe usf live around though</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   target                                               text  number-char  \\\n",
       "0       0  Go until jurong point, crazy.. Available only ...          111   \n",
       "1       0                      Ok lar... Joking wif u oni...           29   \n",
       "2       1  Free entry in 2 a wkly comp to win FA Cup fina...          155   \n",
       "3       0  U dun say so early hor... U c already then say...           49   \n",
       "4       0  Nah I don't think he goes to usf, he lives aro...           61   \n",
       "\n",
       "   num-words  num_sentences                                   transformed_text  \n",
       "0         24              2  go jurong point crazi avail bugi n great world...  \n",
       "1          8              2                              ok lar joke wif u oni  \n",
       "2         37              2  free entri 2 wkli comp win fa cup final tkt 21...  \n",
       "3         13              1                u dun say earli hor u c alreadi say  \n",
       "4         15              1               nah think goe usf live around though  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "9406440b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud\n",
    "wc = WordCloud(width=500, height=500, min_font_size=10, background_color = 'white')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "8250c942",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fb4aad06940>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1700x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spam_wc = wc.generate(df[df['target'] == 1]['transformed_text'].str.cat(sep=\" \"))\n",
    "plt.figure(figsize = (17,6))\n",
    "plt.imshow(spam_wc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "ad362981",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fb488adde20>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1700x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ham_wc = wc.generate(df[df['target'] == 0]['transformed_text'].str.cat(sep=\" \"))\n",
    "plt.figure(figsize = (17,6))\n",
    "plt.imshow(ham_wc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "3359bd20",
   "metadata": {},
   "outputs": [],
   "source": [
    "spam_corpus = []\n",
    "for msg in df[df['target'] == 1]['transformed_text'].tolist():\n",
    "    for word in msg.split():\n",
    "        spam_corpus.append(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "662c0d39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9939"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(spam_corpus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "95a9a04d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/pravesh/opt/anaconda3/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from collections import Counter\n",
    "sns.barplot(pd.DataFrame(Counter(spam_corpus).most_common(30))[0],pd.DataFrame(Counter(spam_corpus).most_common(30))[1])\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "bb14e0f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "ham_corpus = []\n",
    "for msg in df[df['target'] == 0]['transformed_text'].tolist():\n",
    "    for word in msg.split():\n",
    "        ham_corpus.append(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "155cbd70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "35394"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ham_corpus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "e7383211",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/pravesh/opt/anaconda3/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(pd.DataFrame(Counter(ham_corpus).most_common(30))[0],pd.DataFrame(Counter(ham_corpus).most_common(30))[1])\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a2ed3c4",
   "metadata": {},
   "source": [
    "## 4. Model Building\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "b7b99d8b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Text Vectorization\n",
    "from sklearn.feature_extraction.text import CountVectorizer,TfidfVectorizer\n",
    "cv = CountVectorizer()\n",
    "tfidf = TfidfVectorizer(max_features=3000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "5eb5416e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5169, 3000)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = tfidf.fit_transform(df['transformed_text']).toarray()\n",
    "x.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "08a3bd30",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 1, ..., 0, 0, 0])"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = df['target'].values\n",
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "01f268da",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "a4d2e37e",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train,x_test,y_train,y_test = train_test_split(x,y,test_size=0.2,random_state=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "f82531a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.naive_bayes import GaussianNB, MultinomialNB, BernoulliNB\n",
    "from sklearn.metrics import accuracy_score,confusion_matrix,precision_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "7efe58b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "bnb=BernoulliNB()\n",
    "gnb=GaussianNB()\n",
    "mnb=MultinomialNB()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "b06327d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8694390715667312\n",
      "[[788 108]\n",
      " [ 27 111]]\n",
      "0.5068493150684932\n"
     ]
    }
   ],
   "source": [
    "gnb.fit(x_train,y_train)\n",
    "y_pred1 = gnb.predict(x_test)\n",
    "print(accuracy_score(y_test,y_pred1))\n",
    "print(confusion_matrix(y_test,y_pred1))\n",
    "print(precision_score(y_test,y_pred1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "e050be95",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9709864603481625\n",
      "[[896   0]\n",
      " [ 30 108]]\n",
      "1.0\n"
     ]
    }
   ],
   "source": [
    "mnb.fit(x_train,y_train)\n",
    "y_pred2 = mnb.predict(x_test)\n",
    "print(accuracy_score(y_test,y_pred2))\n",
    "print(confusion_matrix(y_test,y_pred2))\n",
    "print(precision_score(y_test,y_pred2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "85cbf94f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9835589941972921\n",
      "[[895   1]\n",
      " [ 16 122]]\n",
      "0.991869918699187\n"
     ]
    }
   ],
   "source": [
    "bnb.fit(x_train,y_train)\n",
    "y_pred3 = bnb.predict(x_test)\n",
    "print(accuracy_score(y_test,y_pred3))\n",
    "print(confusion_matrix(y_test,y_pred3))\n",
    "print(precision_score(y_test,y_pred3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "bbd95961",
   "metadata": {},
   "outputs": [],
   "source": [
    "# tfidf ---> MNB\n",
    "\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.naive_bayes import MultinomialNB\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "from sklearn.ensemble import BaggingClassifier\n",
    "from sklearn.ensemble import ExtraTreesClassifier\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from xgboost import XGBClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "29c7fc86",
   "metadata": {},
   "outputs": [],
   "source": [
    "svc = SVC(kernel='sigmoid', gamma=1.0)\n",
    "knc = KNeighborsClassifier()\n",
    "mnb = MultinomialNB()\n",
    "dtc = DecisionTreeClassifier(max_depth=5)\n",
    "lrc = LogisticRegression(solver='liblinear', penalty='l1')\n",
    "rfc = RandomForestClassifier(n_estimators=50, random_state=2)\n",
    "abc = AdaBoostClassifier(n_estimators=50, random_state=2)\n",
    "bc = BaggingClassifier(n_estimators=50, random_state=2)\n",
    "etc = ExtraTreesClassifier(n_estimators=50, random_state=2)\n",
    "gbdt = GradientBoostingClassifier(n_estimators=50,random_state=2)\n",
    "xgb = XGBClassifier(n_estimators=50,random_state=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "b425d862",
   "metadata": {},
   "outputs": [],
   "source": [
    "clfs = {\n",
    "    'SVC' : svc,\n",
    "    'KN' : knc, \n",
    "    'NB': mnb, \n",
    "    'DT': dtc, \n",
    "    'LR': lrc, \n",
    "    'RF': rfc, \n",
    "    'AdaBoost': abc, \n",
    "    'BgC': bc, \n",
    "    'ETC': etc,\n",
    "    'GBDT':gbdt,\n",
    "    'xgb':xgb\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "9571cf67",
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_classifier(clf,X_train,y_train,X_test,y_test):\n",
    "    clf.fit(X_train,y_train)\n",
    "    y_pred = clf.predict(X_test)\n",
    "    accuracy = accuracy_score(y_test,y_pred)\n",
    "    precision = precision_score(y_test,y_pred)\n",
    "    \n",
    "    return accuracy,precision"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "42356dda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.9758220502901354, 0.9747899159663865)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_classifier(svc,x_train,y_train,x_test,y_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "5374ad3d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For  SVC\n",
      "Accuracy -  0.9758220502901354\n",
      "Precision -  0.9747899159663865\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/pravesh/opt/anaconda3/lib/python3.9/site-packages/sklearn/neighbors/_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n",
      "  mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For  KN\n",
      "Accuracy -  0.9052224371373307\n",
      "Precision -  1.0\n",
      "For  NB\n",
      "Accuracy -  0.9709864603481625\n",
      "Precision -  1.0\n",
      "For  DT\n",
      "Accuracy -  0.9284332688588007\n",
      "Precision -  0.82\n",
      "For  LR\n",
      "Accuracy -  0.9584139264990329\n",
      "Precision -  0.9702970297029703\n",
      "For  RF\n",
      "Accuracy -  0.9748549323017408\n",
      "Precision -  0.9827586206896551\n",
      "For  AdaBoost\n",
      "Accuracy -  0.960348162475822\n",
      "Precision -  0.9292035398230089\n",
      "For  BgC\n",
      "Accuracy -  0.9574468085106383\n",
      "Precision -  0.8671875\n",
      "For  ETC\n",
      "Accuracy -  0.9748549323017408\n",
      "Precision -  0.9745762711864406\n",
      "For  GBDT\n",
      "Accuracy -  0.9477756286266924\n",
      "Precision -  0.92\n",
      "For  xgb\n",
      "Accuracy -  0.971953578336557\n",
      "Precision -  0.943089430894309\n"
     ]
    }
   ],
   "source": [
    "accuracy_scores = []\n",
    "precision_scores = []\n",
    "\n",
    "for name,clf in clfs.items():\n",
    "    \n",
    "    current_accuracy,current_precision = train_classifier(clf, x_train,y_train,x_test,y_test)\n",
    "    \n",
    "    print(\"For \",name)\n",
    "    print(\"Accuracy - \",current_accuracy)\n",
    "    print(\"Precision - \",current_precision)\n",
    "    \n",
    "    accuracy_scores.append(current_accuracy)\n",
    "    precision_scores.append(current_precision)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "1419f33e",
   "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>Algorithm</th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>Precision</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>KN</td>\n",
       "      <td>0.905222</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NB</td>\n",
       "      <td>0.970986</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>RF</td>\n",
       "      <td>0.974855</td>\n",
       "      <td>0.982759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SVC</td>\n",
       "      <td>0.975822</td>\n",
       "      <td>0.974790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ETC</td>\n",
       "      <td>0.974855</td>\n",
       "      <td>0.974576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LR</td>\n",
       "      <td>0.958414</td>\n",
       "      <td>0.970297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>xgb</td>\n",
       "      <td>0.971954</td>\n",
       "      <td>0.943089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AdaBoost</td>\n",
       "      <td>0.960348</td>\n",
       "      <td>0.929204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>GBDT</td>\n",
       "      <td>0.947776</td>\n",
       "      <td>0.920000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>BgC</td>\n",
       "      <td>0.957447</td>\n",
       "      <td>0.867188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DT</td>\n",
       "      <td>0.928433</td>\n",
       "      <td>0.820000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Algorithm  Accuracy  Precision\n",
       "1         KN  0.905222   1.000000\n",
       "2         NB  0.970986   1.000000\n",
       "5         RF  0.974855   0.982759\n",
       "0        SVC  0.975822   0.974790\n",
       "8        ETC  0.974855   0.974576\n",
       "4         LR  0.958414   0.970297\n",
       "10       xgb  0.971954   0.943089\n",
       "6   AdaBoost  0.960348   0.929204\n",
       "9       GBDT  0.947776   0.920000\n",
       "7        BgC  0.957447   0.867188\n",
       "3         DT  0.928433   0.820000"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "performance_df = pd.DataFrame({'Algorithm':clfs.keys(),'Accuracy':accuracy_scores,'Precision':precision_scores}).sort_values('Precision',ascending=False)\n",
    "performance_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "49d020b5",
   "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>Algorithm</th>\n",
       "      <th>variable</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>KN</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.905222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NB</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.970986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RF</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.974855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SVC</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.975822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ETC</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.974855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>LR</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.958414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>xgb</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.971954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>AdaBoost</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.960348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>GBDT</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.947776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>BgC</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.957447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>DT</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.928433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>KN</td>\n",
       "      <td>Precision</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>NB</td>\n",
       "      <td>Precision</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>RF</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.982759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>SVC</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.974790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ETC</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.974576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>LR</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.970297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>xgb</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.943089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>AdaBoost</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.929204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>GBDT</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.920000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>BgC</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.867188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>DT</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.820000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Algorithm   variable     value\n",
       "0         KN   Accuracy  0.905222\n",
       "1         NB   Accuracy  0.970986\n",
       "2         RF   Accuracy  0.974855\n",
       "3        SVC   Accuracy  0.975822\n",
       "4        ETC   Accuracy  0.974855\n",
       "5         LR   Accuracy  0.958414\n",
       "6        xgb   Accuracy  0.971954\n",
       "7   AdaBoost   Accuracy  0.960348\n",
       "8       GBDT   Accuracy  0.947776\n",
       "9        BgC   Accuracy  0.957447\n",
       "10        DT   Accuracy  0.928433\n",
       "11        KN  Precision  1.000000\n",
       "12        NB  Precision  1.000000\n",
       "13        RF  Precision  0.982759\n",
       "14       SVC  Precision  0.974790\n",
       "15       ETC  Precision  0.974576\n",
       "16        LR  Precision  0.970297\n",
       "17       xgb  Precision  0.943089\n",
       "18  AdaBoost  Precision  0.929204\n",
       "19      GBDT  Precision  0.920000\n",
       "20       BgC  Precision  0.867188\n",
       "21        DT  Precision  0.820000"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "performance_df1 = pd.melt(performance_df, id_vars = \"Algorithm\")\n",
    "performance_df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "d27def36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 513.5x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x = 'Algorithm', y='value', \n",
    "               hue = 'variable',data=performance_df1, kind='bar',height=4)\n",
    "plt.ylim(0.5,1.0)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "ecdbe9e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Model impovement\n",
    "# chaning the max-feature parameter of TfIdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "5bfc89a1",
   "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>Algorithm</th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>Precision</th>\n",
       "      <th>Accuracy_scaling_x</th>\n",
       "      <th>Precision_scaling_x</th>\n",
       "      <th>Accuracy_scaling_y</th>\n",
       "      <th>Precision_scaling_y</th>\n",
       "      <th>Accuracy_num_chars</th>\n",
       "      <th>Precision_num_chars</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>KN</td>\n",
       "      <td>0.905222</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.905222</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.905222</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.905222</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NB</td>\n",
       "      <td>0.970986</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.970986</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.970986</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.970986</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RF</td>\n",
       "      <td>0.974855</td>\n",
       "      <td>0.982759</td>\n",
       "      <td>0.974855</td>\n",
       "      <td>0.982759</td>\n",
       "      <td>0.974855</td>\n",
       "      <td>0.982759</td>\n",
       "      <td>0.974855</td>\n",
       "      <td>0.982759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SVC</td>\n",
       "      <td>0.975822</td>\n",
       "      <td>0.974790</td>\n",
       "      <td>0.975822</td>\n",
       "      <td>0.974790</td>\n",
       "      <td>0.975822</td>\n",
       "      <td>0.974790</td>\n",
       "      <td>0.975822</td>\n",
       "      <td>0.974790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ETC</td>\n",
       "      <td>0.974855</td>\n",
       "      <td>0.974576</td>\n",
       "      <td>0.974855</td>\n",
       "      <td>0.974576</td>\n",
       "      <td>0.974855</td>\n",
       "      <td>0.974576</td>\n",
       "      <td>0.974855</td>\n",
       "      <td>0.974576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>LR</td>\n",
       "      <td>0.958414</td>\n",
       "      <td>0.970297</td>\n",
       "      <td>0.958414</td>\n",
       "      <td>0.970297</td>\n",
       "      <td>0.958414</td>\n",
       "      <td>0.970297</td>\n",
       "      <td>0.958414</td>\n",
       "      <td>0.970297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>xgb</td>\n",
       "      <td>0.971954</td>\n",
       "      <td>0.943089</td>\n",
       "      <td>0.971954</td>\n",
       "      <td>0.943089</td>\n",
       "      <td>0.971954</td>\n",
       "      <td>0.943089</td>\n",
       "      <td>0.971954</td>\n",
       "      <td>0.943089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>AdaBoost</td>\n",
       "      <td>0.960348</td>\n",
       "      <td>0.929204</td>\n",
       "      <td>0.960348</td>\n",
       "      <td>0.929204</td>\n",
       "      <td>0.960348</td>\n",
       "      <td>0.929204</td>\n",
       "      <td>0.960348</td>\n",
       "      <td>0.929204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>GBDT</td>\n",
       "      <td>0.947776</td>\n",
       "      <td>0.920000</td>\n",
       "      <td>0.947776</td>\n",
       "      <td>0.920000</td>\n",
       "      <td>0.947776</td>\n",
       "      <td>0.920000</td>\n",
       "      <td>0.947776</td>\n",
       "      <td>0.920000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>BgC</td>\n",
       "      <td>0.957447</td>\n",
       "      <td>0.867188</td>\n",
       "      <td>0.957447</td>\n",
       "      <td>0.867188</td>\n",
       "      <td>0.957447</td>\n",
       "      <td>0.867188</td>\n",
       "      <td>0.957447</td>\n",
       "      <td>0.867188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>DT</td>\n",
       "      <td>0.928433</td>\n",
       "      <td>0.820000</td>\n",
       "      <td>0.928433</td>\n",
       "      <td>0.820000</td>\n",
       "      <td>0.928433</td>\n",
       "      <td>0.820000</td>\n",
       "      <td>0.928433</td>\n",
       "      <td>0.820000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Algorithm  Accuracy  Precision  Accuracy_scaling_x  Precision_scaling_x  \\\n",
       "0         KN  0.905222   1.000000            0.905222             1.000000   \n",
       "1         NB  0.970986   1.000000            0.970986             1.000000   \n",
       "2         RF  0.974855   0.982759            0.974855             0.982759   \n",
       "3        SVC  0.975822   0.974790            0.975822             0.974790   \n",
       "4        ETC  0.974855   0.974576            0.974855             0.974576   \n",
       "5         LR  0.958414   0.970297            0.958414             0.970297   \n",
       "6        xgb  0.971954   0.943089            0.971954             0.943089   \n",
       "7   AdaBoost  0.960348   0.929204            0.960348             0.929204   \n",
       "8       GBDT  0.947776   0.920000            0.947776             0.920000   \n",
       "9        BgC  0.957447   0.867188            0.957447             0.867188   \n",
       "10        DT  0.928433   0.820000            0.928433             0.820000   \n",
       "\n",
       "    Accuracy_scaling_y  Precision_scaling_y  Accuracy_num_chars  \\\n",
       "0             0.905222             1.000000            0.905222   \n",
       "1             0.970986             1.000000            0.970986   \n",
       "2             0.974855             0.982759            0.974855   \n",
       "3             0.975822             0.974790            0.975822   \n",
       "4             0.974855             0.974576            0.974855   \n",
       "5             0.958414             0.970297            0.958414   \n",
       "6             0.971954             0.943089            0.971954   \n",
       "7             0.960348             0.929204            0.960348   \n",
       "8             0.947776             0.920000            0.947776   \n",
       "9             0.957447             0.867188            0.957447   \n",
       "10            0.928433             0.820000            0.928433   \n",
       "\n",
       "    Precision_num_chars  \n",
       "0              1.000000  \n",
       "1              1.000000  \n",
       "2              0.982759  \n",
       "3              0.974790  \n",
       "4              0.974576  \n",
       "5              0.970297  \n",
       "6              0.943089  \n",
       "7              0.929204  \n",
       "8              0.920000  \n",
       "9              0.867188  \n",
       "10             0.820000  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp_df = pd.DataFrame({'Algorithm':clfs.keys(),'Accuracy_max_ft_3000':accuracy_scores,'Precision_max_ft_3000':precision_scores}).sort_values('Precision_max_ft_3000',ascending=False)\n",
    "temp_df = pd.DataFrame({'Algorithm':clfs.keys(),'Accuracy_scaling':accuracy_scores,'Precision_scaling':precision_scores}).sort_values('Precision_scaling',ascending=False)\n",
    "new_df = performance_df.merge(temp_df,on='Algorithm')\n",
    "new_df_scaled = new_df.merge(temp_df,on='Algorithm')\n",
    "temp_df = pd.DataFrame({'Algorithm':clfs.keys(),'Accuracy_num_chars':accuracy_scores,'Precision_num_chars':precision_scores}).sort_values('Precision_num_chars',ascending=False)\n",
    "new_df_scaled.merge(temp_df,on='Algorithm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "1a0392cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Voting Classifier\n",
    "svc = SVC(kernel='sigmoid', gamma=1.0,probability=True)\n",
    "mnb = MultinomialNB()\n",
    "etc = ExtraTreesClassifier(n_estimators=50, random_state=2)\n",
    "\n",
    "from sklearn.ensemble import VotingClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "3692699f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "VotingClassifier(estimators=[('svm',\n",
       "                              SVC(gamma=1.0, kernel='sigmoid',\n",
       "                                  probability=True)),\n",
       "                             ('nb', MultinomialNB()),\n",
       "                             ('et',\n",
       "                              ExtraTreesClassifier(n_estimators=50,\n",
       "                                                   random_state=2))],\n",
       "                 voting='soft')"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "voting = VotingClassifier(estimators=[('svm', svc), ('nb', mnb), ('et', etc)],voting='soft')\n",
    "voting.fit(x_train,y_train)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "01133fca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 0.9816247582205029\n",
      "Precision 0.9917355371900827\n"
     ]
    }
   ],
   "source": [
    "y_pred = voting.predict(x_test)\n",
    "print(\"Accuracy\",accuracy_score(y_test,y_pred))\n",
    "print(\"Precision\",precision_score(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "f34e2282",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Applying stacking\n",
    "estimators=[('svm', svc), ('nb', mnb), ('et', etc)]\n",
    "final_estimator=RandomForestClassifier()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "58ab64d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 0.9796905222437138\n",
      "Precision 0.9398496240601504\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import StackingClassifier\n",
    "clf = StackingClassifier(estimators=estimators, final_estimator=final_estimator)\n",
    "\n",
    "clf.fit(x_train,y_train)\n",
    "y_pred = clf.predict(x_test)\n",
    "print(\"Accuracy\",accuracy_score(y_test,y_pred))\n",
    "print(\"Precision\",precision_score(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "59ab66d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "mnb1 = mnb.fit(x_train,y_train)\n",
    "\n",
    "import pickle\n",
    "pickle.dump(tfidf,open('vectorizer.pkl','wb'))\n",
    "pickle.dump(mnb1,open('model.pkl','wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4504b785",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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