sms-spam-detection.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "35040982",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6a352c12",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('spam.csv', encoding='ISO-8859-1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "id": "edc6786e",
   "metadata": {
    "scrolled": false
   },
   "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>label</th>\n",
       "      <th>message</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4075</th>\n",
       "      <td>1</td>\n",
       "      <td>87077: Kick off a new season with 2wks FREE go...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1923</th>\n",
       "      <td>0</td>\n",
       "      <td>Hello. They are going to the village pub at 8 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3319</th>\n",
       "      <td>0</td>\n",
       "      <td>Eh sorry leh... I din c ur msg. Not sad alread...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5086</th>\n",
       "      <td>0</td>\n",
       "      <td>Omg if its not one thing its another. My cat h...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>838</th>\n",
       "      <td>1</td>\n",
       "      <td>We tried to contact you re our offer of New Vi...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      label                                            message\n",
       "4075      1  87077: Kick off a new season with 2wks FREE go...\n",
       "1923      0  Hello. They are going to the village pub at 8 ...\n",
       "3319      0  Eh sorry leh... I din c ur msg. Not sad alread...\n",
       "5086      0  Omg if its not one thing its another. My cat h...\n",
       "838       1  We tried to contact you re our offer of New Vi..."
      ]
     },
     "execution_count": 252,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "id": "5f4414e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5572, 2)"
      ]
     },
     "execution_count": 248,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "07d487df",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1. Data Cleaning\n",
    "# 2. EDA - Exploratory data analysis\n",
    "# 3. Text preprocessing\n",
    "# 4. Model building \n",
    "# 5. Evaluation\n",
    "# 6. Improvement\n",
    "# 7. Website \n",
    "# 8. Deploy"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45d22799",
   "metadata": {},
   "source": [
    "## Data cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3b86d257",
   "metadata": {
    "scrolled": true
   },
   "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": 7,
   "id": "74d098dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop last 3 cols\n",
    "df.drop(columns=['Unnamed: 2','Unnamed: 3','Unnamed: 4'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "07cf522a",
   "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>v1</th>\n",
       "      <th>v2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3556</th>\n",
       "      <td>ham</td>\n",
       "      <td>I had it already..sabarish asked me to go..</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>ham</td>\n",
       "      <td>\\Wen u miss someone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3290</th>\n",
       "      <td>ham</td>\n",
       "      <td>I'm not smoking while people use \\wylie smokes...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4569</th>\n",
       "      <td>spam</td>\n",
       "      <td>Wanna have a laugh? Try CHIT-CHAT on your mobi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4420</th>\n",
       "      <td>ham</td>\n",
       "      <td>Still at west coast... Haiz... ÌÏ'll take fore...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        v1                                                 v2\n",
       "3556   ham        I had it already..sabarish asked me to go..\n",
       "281    ham                                \\Wen u miss someone\n",
       "3290   ham  I'm not smoking while people use \\wylie smokes...\n",
       "4569  spam  Wanna have a laugh? Try CHIT-CHAT on your mobi...\n",
       "4420   ham  Still at west coast... Haiz... ÌÏ'll take fore..."
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f8017800",
   "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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2888</th>\n",
       "      <td>ham</td>\n",
       "      <td>My battery is low babe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>ham</td>\n",
       "      <td>great princess! I love giving and receiving or...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5364</th>\n",
       "      <td>spam</td>\n",
       "      <td>Call 09095350301 and send our girls into eroti...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4285</th>\n",
       "      <td>ham</td>\n",
       "      <td>Congrats. That's great. I wanted to tell you n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4238</th>\n",
       "      <td>ham</td>\n",
       "      <td>Sez, hows u &amp; de arab boy? Hope u r all good g...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     target                                               text\n",
       "2888    ham                             My battery is low babe\n",
       "465     ham  great princess! I love giving and receiving or...\n",
       "5364   spam  Call 09095350301 and send our girls into eroti...\n",
       "4285    ham  Congrats. That's great. I wanted to tell you n...\n",
       "4238    ham  Sez, hows u & de arab boy? Hope u r all good g..."
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# renaming the cols\n",
    "df.rename(columns={'v1':'target','v2':'text'},inplace=True)\n",
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "20897c7a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "encoder = LabelEncoder()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d08366ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['target'] = encoder.fit_transform(df['target'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8ab5c963",
   "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",
       "    </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": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "74e30768",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "target    0\n",
       "text      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# missing values\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0120e789",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "403"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check for duplicate values\n",
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "12d18025",
   "metadata": {},
   "outputs": [],
   "source": [
    "# remove duplicates\n",
    "df = df.drop_duplicates(keep='first')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "74633f07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b60f45d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5169, 2)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "775c0496",
   "metadata": {},
   "source": [
    "## 2.EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "02d40738",
   "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",
       "    </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": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "57ed43a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    4516\n",
       "1     653\n",
       "Name: target, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['target'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1ee9e23a",
   "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 = \"%0.2f\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "43ab2ff2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data is imbalanced"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c1897d3e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import nltk "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "193afd34",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Requirement already satisfied: nltk in c:\\programdata\\anaconda3\\lib\\site-packages (3.7)\n",
      "Requirement already satisfied: regex>=2021.8.3 in c:\\programdata\\anaconda3\\lib\\site-packages (from nltk) (2022.7.9)\n",
      "Requirement already satisfied: tqdm in c:\\programdata\\anaconda3\\lib\\site-packages (from nltk) (4.64.1)\n",
      "Requirement already satisfied: click in c:\\programdata\\anaconda3\\lib\\site-packages (from nltk) (8.0.4)\n",
      "Requirement already satisfied: joblib in c:\\programdata\\anaconda3\\lib\\site-packages (from nltk) (1.1.0)\n",
      "Requirement already satisfied: colorama in c:\\programdata\\anaconda3\\lib\\site-packages (from click->nltk) (0.4.5)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c5bfb2af",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\MJ\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nltk.download('punkt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7d63608c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['num_characters'] = df['text'].apply(len)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "01b3b0b0",
   "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>num_characters</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  num_characters\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": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "47fb767f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# num of words \n",
    "df['num_words']=df['text'].apply(lambda x : len(nltk.word_tokenize(x)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "c6f127cd",
   "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>num_characters</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  num_characters  \\\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": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b9baca01",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['num_sentences'] = df['text'].apply(lambda x : len(nltk.sent_tokenize(x)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "6b791c96",
   "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>num_characters</th>\n",
       "      <th>num_words</th>\n",
       "      <th>num_sentences</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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   target                                               text  num_characters  \\\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": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "da491933",
   "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>num_characters</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>5169.000000</td>\n",
       "      <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",
       "      <td>910.000000</td>\n",
       "      <td>220.000000</td>\n",
       "      <td>28.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       num_characters    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": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['num_characters','num_words','num_sentences']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "f014cdae",
   "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>num_characters</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>4516.000000</td>\n",
       "      <td>4516.000000</td>\n",
       "      <td>4516.000000</td>\n",
       "    </tr>\n",
       "    <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",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>34.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>52.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>90.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <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": [
       "       num_characters    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": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ham\n",
    "df[df['target'] == 0][['num_characters','num_words','num_sentences']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ce5d0480",
   "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>num_characters</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": [
       "       num_characters   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": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# spam\n",
    "df[df['target'] == 1][['num_characters','num_words','num_sentences']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "7ca1dbb4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "87e2ec5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='num_characters', ylabel='Count'>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "sns.histplot(df[df['target'] == 0]['num_characters'])\n",
    "sns.histplot(df[df['target'] == 1]['num_characters'],color='red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "c1afe2a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='num_words', ylabel='Count'>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "sns.histplot(df[df['target'] == 0]['num_words'])\n",
    "sns.histplot(df[df['target'] == 1]['num_words'],color='red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "f9e2e59d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x223024e5b50>"
      ]
     },
     "execution_count": 37,
     "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": 38,
   "id": "d492dfac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 38,
     "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": "4e7f7b0e",
   "metadata": {},
   "source": [
    "## 3. Data Preprocessing\n",
    ". Lower case \n",
    ". Tokenization\n",
    ". Removing special characters\n",
    ". Removing stop and punctuation \n",
    ". Stemming"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "da0f8db4",
   "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",
    "    return \" \".join(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "c64844ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     C:\\Users\\MJ\\AppData\\Roaming\\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": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nltk.download('stopwords')\n",
    "from nltk.corpus import stopwords \n",
    "stopwords.words('english')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "d7021096",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'!\"#$%&\\'()*+,-./:;<=>?@[\\\\]^_`{|}~'"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import string\n",
    "string.punctuation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "508f3a7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'gon na home soon want talk stuff anymor tonight k cri enough today'"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transform_text(\"I'm gonna be home soon and i don't want to talk about this stuff anymore tonight, k? I've cried enough today.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "df19501f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"I'm gonna be home soon and i don't want to talk about this stuff anymore tonight, k? I've cried enough today.\""
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['text'][10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "f22b7cee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'danc'"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from nltk.stem.porter import PorterStemmer\n",
    "ps = PorterStemmer()\n",
    "ps.stem('dancing')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "58e416c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       go jurong point crazi avail bugi n great world...\n",
       "1                                   ok lar joke wif u oni\n",
       "2       free entri 2 wkli comp win fa cup final tkt 21...\n",
       "3                     u dun say earli hor u c alreadi say\n",
       "4                    nah think goe usf live around though\n",
       "                              ...                        \n",
       "5567    2nd time tri 2 contact u pound prize 2 claim e...\n",
       "5568                                b go esplanad fr home\n",
       "5569                                    piti mood suggest\n",
       "5570    guy bitch act like interest buy someth els nex...\n",
       "5571                                       rofl true name\n",
       "Name: text, Length: 5169, dtype: object"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['text'].apply(transform_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "8be81dd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['transformed_text'] = df['text'].apply(transform_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "3eb98aeb",
   "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>num_characters</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  num_characters  \\\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": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "88f2cef9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud \n",
    "wc = WordCloud(width=500,height=500,min_font_size=10,background_color='white')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "c1dab833",
   "metadata": {},
   "outputs": [],
   "source": [
    "spam_wc = wc.generate(df[df['target'] == 1]['transformed_text'].str.cat(sep=\" \"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "af960f89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x22306f98b80>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.imshow(spam_wc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "f465e040",
   "metadata": {},
   "outputs": [],
   "source": [
    "ham_wc = wc.generate(df[df['target'] == 0]['transformed_text'].str.cat(sep=\" \"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "a2207f6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x223087ceac0>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.imshow(ham_wc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "4ca173fb",
   "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": 55,
   "id": "a6f680e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9939"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(spam_corpus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "c6a903c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\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": {
      "text/plain": [
       "(array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
       "        17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]),\n",
       " [Text(0, 0, 'call'),\n",
       "  Text(1, 0, 'free'),\n",
       "  Text(2, 0, '2'),\n",
       "  Text(3, 0, 'txt'),\n",
       "  Text(4, 0, 'text'),\n",
       "  Text(5, 0, 'u'),\n",
       "  Text(6, 0, 'ur'),\n",
       "  Text(7, 0, 'mobil'),\n",
       "  Text(8, 0, 'stop'),\n",
       "  Text(9, 0, 'repli'),\n",
       "  Text(10, 0, 'claim'),\n",
       "  Text(11, 0, '4'),\n",
       "  Text(12, 0, 'prize'),\n",
       "  Text(13, 0, 'get'),\n",
       "  Text(14, 0, 'new'),\n",
       "  Text(15, 0, 'servic'),\n",
       "  Text(16, 0, 'tone'),\n",
       "  Text(17, 0, 'send'),\n",
       "  Text(18, 0, 'urgent'),\n",
       "  Text(19, 0, 'nokia'),\n",
       "  Text(20, 0, 'contact'),\n",
       "  Text(21, 0, 'award'),\n",
       "  Text(22, 0, 'phone'),\n",
       "  Text(23, 0, 'cash'),\n",
       "  Text(24, 0, 'pleas'),\n",
       "  Text(25, 0, 'week'),\n",
       "  Text(26, 0, 'win'),\n",
       "  Text(27, 0, 'c'),\n",
       "  Text(28, 0, 'collect'),\n",
       "  Text(29, 0, 'min')])"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "37557d88",
   "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": 58,
   "id": "c8f95580",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "35394"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ham_corpus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "10cffa53",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\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": {
      "text/plain": [
       "(array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
       "        17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]),\n",
       " [Text(0, 0, 'u'),\n",
       "  Text(1, 0, 'go'),\n",
       "  Text(2, 0, 'get'),\n",
       "  Text(3, 0, 'gt'),\n",
       "  Text(4, 0, 'lt'),\n",
       "  Text(5, 0, '2'),\n",
       "  Text(6, 0, 'come'),\n",
       "  Text(7, 0, 'got'),\n",
       "  Text(8, 0, 'know'),\n",
       "  Text(9, 0, 'like'),\n",
       "  Text(10, 0, 'call'),\n",
       "  Text(11, 0, 'time'),\n",
       "  Text(12, 0, 'ok'),\n",
       "  Text(13, 0, 'love'),\n",
       "  Text(14, 0, 'good'),\n",
       "  Text(15, 0, 'want'),\n",
       "  Text(16, 0, 'ur'),\n",
       "  Text(17, 0, 'day'),\n",
       "  Text(18, 0, 'need'),\n",
       "  Text(19, 0, 'one'),\n",
       "  Text(20, 0, 'lor'),\n",
       "  Text(21, 0, '4'),\n",
       "  Text(22, 0, 'home'),\n",
       "  Text(23, 0, 'think'),\n",
       "  Text(24, 0, 'see'),\n",
       "  Text(25, 0, 'take'),\n",
       "  Text(26, 0, 'still'),\n",
       "  Text(27, 0, 'da'),\n",
       "  Text(28, 0, 'tell'),\n",
       "  Text(29, 0, 'make')])"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjsAAAHKCAYAAADl8Ip6AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAABNkklEQVR4nO3deVhU5eIH8O8AMuyrrEmKuYe7XXdFRVxSETUt1ItKZmoa7lnXtYLUFClvauW+oblhaSgqkktuuOY1F9RwgVBUEERAeH9/+HB+jCwzwwzMePp+nuc8D3PmvGfeM8zynXPeRSGEECAiIiKSKRNDV4CIiIioIjHsEBERkawx7BAREZGsMewQERGRrDHsEBERkawx7BAREZGsMewQERGRrDHsEBERkayZGboCxqCgoAD37t2Dra0tFAqFoatDREREGhBC4MmTJ/D09ISJSennbxh2ANy7dw9eXl6GrgYRERGVw+3bt1GtWrVS72fYAWBrawvgxZNlZ2dn4NoQERGRJjIyMuDl5SV9j5eGYQeQLl3Z2dkx7BAREb1i1DVBYQNlIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1M0NXwNjcX7pe6zIuo4dUQE2IiIhIH3hmh4iIiGSNYYeIiIhkjWGHiIiIZI1hh4iIiGSNYYeIiIhkjWGHiIiIZI1hh4iIiGSNYYeIiIhkjWGHiIiIZI1hh4iIiGSNYYeIiIhkjWGHiIiIZI1hh4iIiGSNYYeIiIhkjWGHiIiIZI1hh4iIiGSNYYeIiIhkzaBhZ+nSpWjUqBHs7OxgZ2eH1q1b49dff5XuF0Jg9uzZ8PT0hKWlJXx9fXHp0iWVfeTk5GDcuHGoWrUqrK2t0adPH9y5c6eyD4WIiIiMlEHDTrVq1fDVV1/h9OnTOH36NDp37oyAgAAp0MyfPx+LFi3CkiVLcOrUKbi7u6Nr16548uSJtI/Q0FDs2LEDUVFROHLkCDIzM9GrVy/k5+cb6rCIiIjIiCiEEMLQlSjKyckJCxYswIgRI+Dp6YnQ0FBMmzYNwIuzOG5ubpg3bx5GjRqF9PR0uLi4YN26dRg0aBAA4N69e/Dy8sKePXvQrVs3jR4zIyMD9vb2SE9PR86GXVrX2WX0EK3LEBERkW6Kfn/b2dmVup3RtNnJz89HVFQUsrKy0Lp1a9y8eRMpKSnw9/eXtlEqlejYsSOOHTsGAEhISEBeXp7KNp6envDx8ZG2KUlOTg4yMjJUFiIiIpIng4edixcvwsbGBkqlEh9++CF27NiBBg0aICUlBQDg5uamsr2bm5t0X0pKCszNzeHo6FjqNiUJDw+Hvb29tHh5een5qIiIiMhYGDzs1K1bF+fOncPx48cxevRoBAcH43//+590v0KhUNleCFFs3cvUbTN9+nSkp6dLy+3bt3U7CCIiIjJaBg875ubmqFWrFlq0aIHw8HA0btwYkZGRcHd3B4BiZ2hSU1Olsz3u7u7Izc3Fo0ePSt2mJEqlUuoBVrgQERGRPBk87LxMCIGcnBx4e3vD3d0dsbGx0n25ubmIj49HmzZtAADNmzdHlSpVVLZJTk7GH3/8IW1DRERE/2xmhnzwTz/9FD169ICXlxeePHmCqKgoHDp0CDExMVAoFAgNDUVYWBhq166N2rVrIywsDFZWVggKCgIA2NvbIyQkBJMmTYKzszOcnJwwefJkNGzYEH5+foY8NCIiIjISBg07f//9N4YOHYrk5GTY29ujUaNGiImJQdeuXQEAU6dORXZ2NsaMGYNHjx6hZcuW2LdvH2xtbaV9REREwMzMDAMHDkR2dja6dOmC1atXw9TU1FCHRUREREbE6MbZMQSOs0NERPTqeeXG2SEiIiKqCAw7REREJGsMO0RERCRrDDtEREQkaww7REREJGsMO0RERCRrDDtEREQkaww7REREJGsMO0RERCRrDDtEREQkaww7REREJGsMO0RERCRrDDtEREQkaww7REREJGsMO0RERCRrDDtEREQkaww7REREJGsMO0RERCRrDDtEREQkaww7REREJGsMO0RERCRrDDtEREQkaww7REREJGsMO0RERCRrDDtEREQkaww7REREJGsMO0RERCRrDDtEREQkaww7REREJGsMO0RERCRrDDtEREQkaww7REREJGsMO0RERCRrDDtEREQkaww7REREJGsMO0RERCRrDDtEREQkaww7REREJGsMO0RERCRrDDtEREQkaww7REREJGsMO0RERCRrDDtEREQkaww7REREJGsGDTvh4eF46623YGtrC1dXV/Tt2xdXrlxR2WbYsGFQKBQqS6tWrVS2ycnJwbhx41C1alVYW1ujT58+uHPnTmUeChERERkpg4ad+Ph4jB07FsePH0dsbCyeP38Of39/ZGVlqWzXvXt3JCcnS8uePXtU7g8NDcWOHTsQFRWFI0eOIDMzE7169UJ+fn5lHg4REREZITNDPnhMTIzK7VWrVsHV1RUJCQno0KGDtF6pVMLd3b3EfaSnp2PFihVYt24d/Pz8AADr16+Hl5cX9u/fj27dulXcARAREZHRM6o2O+np6QAAJycnlfWHDh2Cq6sr6tSpg5EjRyI1NVW6LyEhAXl5efD395fWeXp6wsfHB8eOHSvxcXJycpCRkaGyEBERkTwZTdgRQmDixIlo164dfHx8pPU9evTAhg0bcPDgQSxcuBCnTp1C586dkZOTAwBISUmBubk5HB0dVfbn5uaGlJSUEh8rPDwc9vb20uLl5VVxB0ZEREQGZdDLWEV99NFHuHDhAo4cOaKyftCgQdLfPj4+aNGiBapXr47du3ejX79+pe5PCAGFQlHifdOnT8fEiROl2xkZGQw8REREMmUUZ3bGjRuHXbt2IS4uDtWqVStzWw8PD1SvXh3Xrl0DALi7uyM3NxePHj1S2S41NRVubm4l7kOpVMLOzk5lISIiInkyaNgRQuCjjz7C9u3bcfDgQXh7e6stk5aWhtu3b8PDwwMA0Lx5c1SpUgWxsbHSNsnJyfjjjz/Qpk2bCqs7ERERvRoMehlr7Nix2LhxI6Kjo2Frayu1sbG3t4elpSUyMzMxe/Zs9O/fHx4eHrh16xY+/fRTVK1aFYGBgdK2ISEhmDRpEpydneHk5ITJkyejYcOGUu8sIiIi+ucyaNhZunQpAMDX11dl/apVqzBs2DCYmpri4sWLWLt2LR4/fgwPDw906tQJmzdvhq2trbR9REQEzMzMMHDgQGRnZ6NLly5YvXo1TE1NK/NwiIiIyAgphBDC0JUwtIyMDNjb2yM9PR05G3ZpXd5l9JAKqBURERGVpej3d1ntb42igTIRERFRRWHYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIlkzaNgJDw/HW2+9BVtbW7i6uqJv3764cuWKyjZCCMyePRuenp6wtLSEr68vLl26pLJNTk4Oxo0bh6pVq8La2hp9+vTBnTt3KvNQiIiIyEgZNOzEx8dj7NixOH78OGJjY/H8+XP4+/sjKytL2mb+/PlYtGgRlixZglOnTsHd3R1du3bFkydPpG1CQ0OxY8cOREVF4ciRI8jMzESvXr2Qn59viMMiIiIiI6IQQghDV6LQ/fv34erqivj4eHTo0AFCCHh6eiI0NBTTpk0D8OIsjpubG+bNm4dRo0YhPT0dLi4uWLduHQYNGgQAuHfvHry8vLBnzx5069ZN7eNmZGTA3t4e6enpyNmwS+t6u4weonUZIiIi0k3R7287O7tStzOqNjvp6ekAACcnJwDAzZs3kZKSAn9/f2kbpVKJjh074tixYwCAhIQE5OXlqWzj6ekJHx8faZuX5eTkICMjQ2UhIiIieTKasCOEwMSJE9GuXTv4+PgAAFJSUgAAbm5uKtu6ublJ96WkpMDc3ByOjo6lbvOy8PBw2NvbS4uXl5e+D4eIiIiMhNGEnY8++ggXLlzApk2bit2nUChUbgshiq17WVnbTJ8+Henp6dJy+/bt8leciIiIjJpRhJ1x48Zh165diIuLQ7Vq1aT17u7uAFDsDE1qaqp0tsfd3R25ubl49OhRqdu8TKlUws7OTmUhIiIieTJo2BFC4KOPPsL27dtx8OBBeHt7q9zv7e0Nd3d3xMbGSutyc3MRHx+PNm3aAACaN2+OKlWqqGyTnJyMP/74Q9qGiIiI/rnMDPngY8eOxcaNGxEdHQ1bW1vpDI69vT0sLS2hUCgQGhqKsLAw1K5dG7Vr10ZYWBisrKwQFBQkbRsSEoJJkybB2dkZTk5OmDx5Mho2bAg/Pz9DHh4REREZAYOGnaVLlwIAfH19VdavWrUKw4YNAwBMnToV2dnZGDNmDB49eoSWLVti3759sLW1lbaPiIiAmZkZBg4ciOzsbHTp0gWrV6+GqalpZR0KERERGSmjGmfHUDjODhER0avnlRxnh4iIiEjfGHaIiIhI1hh2iIiISNYM2kBZjlKXfaN1GdcPx1dATYiIiAjgmR0iIiKSOYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjW9h53bt29jxIgR+t4tERERUbnoPew8fPgQa9as0fduiYiIiMrFTNsCu3btKvP+GzdulLsyRERERPqmddjp27cvFAoFhBClbqNQKHSqFBEREZG+aH0Zy8PDA9u2bUNBQUGJy5kzZyqinkRERETlonXYad68eZmBRt1ZHyIiIqLKpPVlrClTpiArK6vU+2vVqoW4uDidKkVERESkL1qHnfbt25d5v7W1NTp27FjuChERERHpEwcVJCIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZ03pQQap49/47UesynmMXVUBNiIiIXn0GPbPz22+/oXfv3vD09IRCocDOnTtV7h82bBgUCoXK0qpVK5VtcnJyMG7cOFStWhXW1tbo06cP7ty5U4lHQURERMbMoGEnKysLjRs3xpIlS0rdpnv37khOTpaWPXv2qNwfGhqKHTt2ICoqCkeOHEFmZiZ69eqF/Pz8iq4+ERERvQIMehmrR48e6NGjR5nbKJVKuLu7l3hfeno6VqxYgXXr1sHPzw8AsH79enh5eWH//v3o1q2b3utMRERErxajb6B86NAhuLq6ok6dOhg5ciRSU1Ol+xISEpCXlwd/f39pnaenJ3x8fHDs2LFS95mTk4OMjAyVhYiIiOTJqMNOjx49sGHDBhw8eBALFy7EqVOn0LlzZ+Tk5AAAUlJSYG5uDkdHR5Vybm5uSElJKXW/4eHhsLe3lxYvL68KPQ4iIiIyHKPujTVo0CDpbx8fH7Ro0QLVq1fH7t270a9fv1LLCSGgUChKvX/69OmYOPH/ezxlZGQw8BAREcmUUZ/ZeZmHhweqV6+Oa9euAQDc3d2Rm5uLR48eqWyXmpoKNze3UvejVCphZ2enshAREZE8vVJhJy0tDbdv34aHhwcAoHnz5qhSpQpiY2OlbZKTk/HHH3+gTZs2hqomERERGRGDXsbKzMzE9evXpds3b97EuXPn4OTkBCcnJ8yePRv9+/eHh4cHbt26hU8//RRVq1ZFYGAgAMDe3h4hISGYNGkSnJ2d4eTkhMmTJ6Nhw4ZS7ywiIiL6ZzNo2Dl9+jQ6deok3S5sRxMcHIylS5fi4sWLWLt2LR4/fgwPDw906tQJmzdvhq2trVQmIiICZmZmGDhwILKzs9GlSxesXr0apqamlX48REREZHwMGnZ8fX0hhCj1/r1796rdh4WFBb799lt8++23+qwaERERycQr1WaHiIiISFsMO0RERCRrDDtEREQka0Y9qCCVz5//DdC6TL2x0RVQEyIiIsPjmR0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjWGHSIiIpI1hh0iIiKSNYYdIiIikjUzQ1eAjNPv3/fSukzrD36pgJoQERHphmd2iIiISNYYdoiIiEjWGHaIiIhI1thmhyrE3hU9tS7TLWSPyu2tq7prvY8Bw2O0LkNERPLGMztEREQkaww7REREJGsMO0RERCRrDDtEREQka2ygTLK1ao1/ucoND96n55oQEZEh8cwOERERyRrDDhEREckaww4RERHJGsMOERERyRrDDhEREckaww4RERHJGsMOERERyRrDDhEREckaww4RERHJGsMOERERyZpBp4v47bffsGDBAiQkJCA5ORk7duxA3759pfuFEJgzZw6+//57PHr0CC1btsR///tfvPnmm9I2OTk5mDx5MjZt2oTs7Gx06dIF3333HapVq2aAIyK5+WZDN63LjB+8twJqQkRE5WXQsJOVlYXGjRtj+PDh6N+/f7H758+fj0WLFmH16tWoU6cOvvjiC3Tt2hVXrlyBra0tACA0NBQ///wzoqKi4OzsjEmTJqFXr15ISEiAqalpZR8SkYrZW7QPSwAweyADExGRvhg07PTo0QM9evQo8T4hBBYvXozPPvsM/fr1AwCsWbMGbm5u2LhxI0aNGoX09HSsWLEC69atg5+fHwBg/fr18PLywv79+9GtW/m+aIiIiEg+jLbNzs2bN5GSkgJ///+fuVqpVKJjx444duwYACAhIQF5eXkq23h6esLHx0fapiQ5OTnIyMhQWYiIiEiejDbspKSkAADc3NxU1ru5uUn3paSkwNzcHI6OjqVuU5Lw8HDY29tLi5eXl55rT0RERMbCaMNOIYVCoXJbCFFs3cvUbTN9+nSkp6dLy+3bt/VSVyIiIjI+Rht23N3dAaDYGZrU1FTpbI+7uztyc3Px6NGjUrcpiVKphJ2dncpCRERE8mTQBspl8fb2hru7O2JjY9G0aVMAQG5uLuLj4zFv3jwAQPPmzVGlShXExsZi4MCBAIDk5GT88ccfmD9/vsHqTqRPw3d017rMqsCYCqgJEdGryaBhJzMzE9evX5du37x5E+fOnYOTkxNef/11hIaGIiwsDLVr10bt2rURFhYGKysrBAUFAQDs7e0REhKCSZMmwdnZGU5OTpg8eTIaNmwo9c4i+qfrET22XOV+DfivnmtCRGQYBg07p0+fRqdOnaTbEydOBAAEBwdj9erVmDp1KrKzszFmzBhpUMF9+/ZJY+wAQEREBMzMzDBw4EBpUMHVq1dzjB0iIiICYOCw4+vrCyFEqfcrFArMnj0bs2fPLnUbCwsLfPvtt/j2228roIZERET0qjPaBspERERE+sCwQ0RERLLGsENERESyxrBDREREssawQ0RERLLGsENERESyxrBDREREssawQ0RERLLGsENERESyxrBDREREssawQ0RERLLGsENERESyxrBDREREsmbQWc+J6NXQc8cXWpfZE/ifCqgJEZH2eGaHiIiIZI1hh4iIiGSNYYeIiIhkjWGHiIiIZI1hh4iIiGSNYYeIiIhkjWGHiIiIZI1hh4iIiGSNgwoSUYV7e/s35Sq3u994PdeEiP6JeGaHiIiIZI1hh4iIiGSNYYeIiIhkjWGHiIiIZI1hh4iIiGSNYYeIiIhkjWGHiIiIZI1hh4iIiGSNYYeIiIhkjWGHiIiIZI3TRRDRK+HtbT9qXWZ3//dVbvfaukHrffwyYLDWZYjIuDDsEBFpqPfW7VqX+XlAvwqoCRFpg5exiIiISNYYdoiIiEjWeBmLiKgSBWyN0bpM9IDuFVATon8OntkhIiIiWWPYISIiIllj2CEiIiJZY5sdIqJXSOC2I1qX2dG/ncrtd7Zd0HofP/VvpHUZImPBsENERFoZv+O21mW+CfSqgJoQaYZhh4iIKt1/d/ytdZmxgW4VUBP6JzDqNjuzZ8+GQqFQWdzd3aX7hRCYPXs2PD09YWlpCV9fX1y6dMmANSYiIiJjY9RhBwDefPNNJCcnS8vFixel++bPn49FixZhyZIlOHXqFNzd3dG1a1c8efLEgDUmIiIiY2L0l7HMzMxUzuYUEkJg8eLF+Oyzz9Cv34u5Z9asWQM3Nzds3LgRo0aNquyqEhFRJdm+9UG5yvUbUFXPNaFXgdGHnWvXrsHT0xNKpRItW7ZEWFgYatasiZs3byIlJQX+/v7StkqlEh07dsSxY8fKDDs5OTnIycmRbmdkZFToMRARkfGJ23Bf6zKdBrtIf5/9MbVcj9v0fddylaPyM+rLWC1btsTatWuxd+9e/PDDD0hJSUGbNm2QlpaGlJQUAICbm2qDNTc3N+m+0oSHh8Pe3l5avLzYS4CIiEiujDrs9OjRA/3790fDhg3h5+eH3bt3A3hxuaqQQqFQKSOEKLbuZdOnT0d6erq03L6tfTdKIiIiejUY/WWsoqytrdGwYUNcu3YNffv2BQCkpKTAw8ND2iY1NbXY2Z6XKZVKKJXKiqwqERGRWrcWl30loiQ1Qou3Y6WyvVJhJycnB5cvX0b79u3h7e0Nd3d3xMbGomnTpgCA3NxcxMfHY968eQauKRERUcVL+fp6ucq5T66l55oYN6MOO5MnT0bv3r3x+uuvIzU1FV988QUyMjIQHBwMhUKB0NBQhIWFoXbt2qhduzbCwsJgZWWFoKAgQ1ediIiIjIRRh507d+7gvffew4MHD+Di4oJWrVrh+PHjqF69OgBg6tSpyM7OxpgxY/Do0SO0bNkS+/btg62trYFrTkRERMbCqMNOVFRUmfcrFArMnj0bs2fPrpwKERERyczfixO0LuMW2vz/y39zqFyP6zbeV/o79b8/a13edWxvjbc16t5YRERERLpi2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZY9ghIiIiWWPYISIiIllj2CEiIiJZk03Y+e677+Dt7Q0LCws0b94chw8fNnSViIiIyAjIIuxs3rwZoaGh+Oyzz3D27Fm0b98ePXr0QFJSkqGrRkRERAYmi7CzaNEihISE4P3330f9+vWxePFieHl5YenSpYauGhERERmYmaEroKvc3FwkJCTgk08+UVnv7++PY8eOlVgmJycHOTk50u309HQAQEZGBnKzs7WugzIjQ/r7SfYzrctbFCn/Yh85pWxZuowi+8jMztOpPABk6bgPXcsDwNPs5zrtI7sc5V/ex7OnutUhpxzlX95Hro51eP40V+c65D3V/nWta/ni+9D+vfnyayrv6VMd66Bb+Rf7yNKxDrqVf7GPTJ32kfv0ic51yC7XPiylv5+Wo/yLfZhLf2eVqw5K6e/M7PLWwUL6+8mz8tTBSqfyAGBV9HvrmfavB0uV8tq/JovtI1v795ZFRob0uhJClL2xeMXdvXtXABBHjx5VWf/ll1+KOnXqlFhm1qxZAgAXLly4cOHCRQbL7du3y8wKr/yZnUIKhULlthCi2LpC06dPx8SJE6XbBQUFePjwIZydnUssk5GRAS8vL9y+fRt2dnblqp+u+2AdWAd974N1YB1YB+Osgz728U+pgxACT548gaenZ5n7eeXDTtWqVWFqaoqUlBSV9ampqXBzcyuxjFKphFKpVFnn4OCg9rHs7OzK/Q/T1z5YB9ZB3/tgHVgH1sE466CPffwT6mBvb6+2/CvfQNnc3BzNmzdHbGysyvrY2Fi0adPGQLUiIiIiY/HKn9kBgIkTJ2Lo0KFo0aIFWrduje+//x5JSUn48MMPDV01IiIiMjBZhJ1BgwYhLS0Nc+fORXJyMnx8fLBnzx5Ur15dL/tXKpWYNWtWsUtflbkP1oF10Pc+WAfWgXUwzjroYx+sgyqFEOr6axERERG9ul75NjtEREREZWHYISIiIllj2CEiIiJZY9ghIiIiWWPYISIio8E+M1QRGHaM2Ny5c/G0hIkHs7OzMXfuXAPUyHCeP3+O/fv3Y/ny5Xjy5MXEd/fu3UNmpmYT2PG51I/Hjx+Xet/169crryIycPPmTUNXQcWzZ9pP1iqEwF9//YXsckygXBqlUonLly/rbX+aOHDgQKn3LVmyROP96Po5RRWHXc9Loe4LcObMmWr3kZ+fj507d+Ly5ctQKBSoX78+AgICYGpqqlEdTE1NkZycDFdXV5X1aWlpcHV1RX5+fqXsQxfZ2dlISEiAk5MTGjRooHLfs2fPsGXLFvz73/8ucx9//fUXunfvjqSkJOTk5ODq1auoWbMmQkND8ezZMyxbtkxtPfTxPDx9+hRWVlZqt1MnNzcXN2/exBtvvAEzs7KHuurXr5/G+92+fbvabRITE7Fq1SokJiYiMjISrq6uiImJgZeXF95880215du0aYODBw/CwsJCZf2VK1fQpUsX3LlzR6O6Pn/+HIcOHUJiYiKCgoJga2uLe/fuwc7ODjY2NsW2/+abbzTaLwCMHz9e7TY1a9bEqVOn4OzsrLL+8ePHaNasGW7cuKG2/l9++SVGjBgBLy8vjetWlKmpKTp06ICQkBAMGDCg2HNaGQoKCvDll19i2bJl+Pvvv6X31owZM1CjRg2EhISoLW9hYYFLly6hdu3aWj120fkJi4qMjMSQIUOk/82iRYu02m95ODg4IDY2Fm+99ZbK+sWLF2PmzJnFZmwviT4+px4/foytW7ciMTERU6ZMgZOTE86cOQM3Nze89tpr5T4+bT19+hRJSUnIzc1VWd+oUaNi2+r7vVlRZDGoYEXYsWOHyu28vDzcvHkTZmZmeOONN9SGnevXr+Ptt9/GnTt3ULduXQghcPXqVXh5eWH37t1444031NahtMlMz58/DycnJ42Oo7Qsm5OTA3Nzc432Ud6gcPXqVfj7+yMpKQkKhQLt27fHpk2b4OHhAQBIT0/H8OHD1Yadjz/+GC1atMD58+dVvpwCAwPx/vvva3QM+nguHRwc0KJFC/j6+qJjx45o164drK2tNSoLvPgAGTduHNasWQMA0ofh+PHj4enpiU8++aRYGU3mfNFUfHw8evTogbZt2+K3337Dl19+CVdXV1y4cAE//vgjtm7dqnYfjo6O6Nu3L3755RcpqF2+fBmdO3fGwIEDNarHy18KXbt2ha2tLebPn1/ql0JERITK7fv37+Pp06fSnHaPHz+GlZUVXF1dNfpAvXXrVomv25ycHNy9e1dteTMzMyxYsADBwcFqty3N+fPnsXLlSkyaNAkfffQRBg0ahJCQEPzrX/8qs9yuXbs0fow+ffqUef8XX3yBNWvWYP78+Rg5cqS0vmHDhoiIiFAbdkxMTFC7dm2kpaVpHXYWL16Mxo0bF5uXUAiBy5cvw9rautTJnEuiS1CIiIhAz549ER8fL/0o+/rrr/H5559j9+7dGj2+rp9TFy5cgJ+fH+zt7XHr1i2MHDkSTk5O2LFjB/766y+sXbu2xHKOjo4aP08PHz4s8/779+9j+PDh+PXXX0u8v6T3zMvvzdIoFAqtwo7eg1+Zc6KTivT0dBEYGCjWrl2rdtsePXqI7t27i7S0NGndgwcPRPfu3UXPnj3LLOvg4CAcHR2FiYmJ9HfhYmdnJ0xMTMSYMWPK3EdkZKSIjIwUJiYm4ssvv5RuR0ZGikWLFom+ffuKJk2aaHTcCoVC/P3338XW3717V1hYWJRarm/fvqJXr17i/v374tq1a6J3797C29tb/PXXX0IIIVJSUoSJiYnax3d2dhZ//vmnEEIIGxsbkZiYKIQQ4ubNm8LS0rLMsvp4LgsdO3ZMhIeHi27duglbW1tRpUoV0bJlSzFt2jSxZ88eteXHjx8vmjdvLg4fPiysra2l44iOjtb4f6GLVq1aiYULFwohVJ/HkydPCk9PT432kZ2dLdq1ayfeeecdUVBQIC5evChcXV3FhAkTNK5HQECAGDJkiMjJyVGpx6FDh0StWrXUlt+wYYNo27at9JoQQog///xTtG/fXqxfv77MstHR0SI6OlooFAqxdu1a6XZ0dLTYvn27GDt2rKhTp47Gx7Fq1SqNti1LXl6e2L59u+jTp4+oUqWKaNCggVi4cKFITU0tcXuFQqGymJiYFLtduKjzxhtviP379wshVF8Tly9fFg4ODhrV/5dffhHt2rUTFy9e1PCIXwgLCxPe3t7iwIEDKuvNzMzEpUuXtNrX+fPnhYuLi6hVq5YwMzOTjuM///mPGDp0qEb7WLBggXjttdfEzZs3xVdffSXs7OzE0aNHNa6DLp9TQgjRpUsXMWXKlGLljx49KqpXr15qudWrV2u8qBMUFCTatGkjTp48KaytrcW+ffvEunXrRN26dcUvv/yitry+6OP/+TKGHS1dvHixzBdeISsrK3HhwoVi68+dOyesra3LLLt69WqxatUqoVAoRGRkpMqLdePGjeLYsWNqH79GjRqiRo0aQqFQCC8vL+l2jRo1RJ06dYS/v784fvx4mfvQNTC5uroWew7GjBkjXn/9dZGYmKhx2HF0dJQ+/Ip+CBw+fFi4urqWWVYfz2VJnj9/Ln7//XcRHBwszMzMNDqO119/Xfz+++/FjuPatWvC1ta2XPXQhrW1tbhx40axx79586ZQKpUa7+fx48eiSZMmon///sLV1VVMnjxZq3ro+qVQs2ZNcebMmWLrT58+LWrUqFFm2dICgkKhEObm5qJOnTri559/1ug4li1bJtzd3cWkSZPExo0bVYJTdHS0Rvso6tmzZ2LRokVCqVRK9Rk6dKi4d+9eqWViY2NFs2bNRExMjEhPTxcZGRkiJiZGtGjRQuzbt0/tY1pYWIhbt24JIVT/F5cuXVL7OVXIwcFBmJubCxMTE2FhYaHyg8LR0bHMsidPnhR16tQRkyZNErm5uUKI8oWd8gaFl33yySfC2dlZODg4qP18fJkun1NCCGFnZyeuX79erPytW7e0en/qwt3dXZw4cUIIIYStra24cuWKEOLFj4S2bdtWSh2E0N//syhextLS48ePkZ6ernY7pVIpNVArKjMzU+3lo8JT497e3mjbtq3adh0lKWz82KlTJ+zYsaPYqWJNFJ6eFEJg2bJlKm2NzM3NUaNGjTKvQ2dnZxer+3//+1+YmJigY8eO2Lhxo0b16Nq1KxYvXozvv/8ewIvToZmZmZg1axZ69uxZZtmiz2WbNm1QpUoVjR6zNH/++ScOHTqE+Ph4HDp0CHl5eejduzc6duyotuz9+/eLXQoEgKysrFJPQzdt2lTjU9Rnzpwp834HBwckJyfD29tbZf3Zs2fLPC38cnsFhUKBzZs3w8/PD/3798eMGTOkbezs7NTWs6CgoMTT4Xfu3IGtra3a8snJycjLyyu2Pj8/H3///bfaxwZevB5OnTqFqlWrqn280owePRpAyW1KFAqFxu3hTp8+jZUrVyIqKgrW1taYPHkyQkJCcO/ePcycORMBAQE4efJkiWVDQ0OxbNkytGvXTlrXrVs3WFlZ4YMPPlDb0PfNN9/E4cOHi80j+NNPP6Fp06Ya1X/x4sUabVeSt956CwkJCRg7diyaN2+ODRs2aHXpqtCpU6ewfPnyYutfe+01pKSklFimpLYmHh4esLKyQocOHXDixAmcOHECgGZtTXT5nAIACwuLEtsGXblyBS4uLqWW06Q9USF178+srCzpM8rJyQn3799HnTp10LBhw1I/X0pre1USTdtflef/qQ7DTilefiMIIZCcnIx169ahe/fuasv36tULH3zwAVasWCFdgz9x4gQ+/PBDtdfRC3Xs2FHnBqVNmjQpsbG1QqGAhYUFatWqhYCAgBLbregamOrVq4fTp0+jfv36Kuu//fZbCCE0fh4iIiLQqVMnNGjQAM+ePUNQUBCuXbuGqlWrYtOmTRrto2PHjsjPz8e2bdukBuMNGjRAnz59NG4w7u7ujry8PHTu3Bm+vr749NNP0bBhQ43KAi8+2Hfv3o1x48YBgPSh/sMPP6B169Yllunbt6/G+1cnKCgI06ZNw08//QSFQoGCggIcPXoUkydPLrPdlIODQ4lfQIUhePny5VKbKE2+4HX9UujSpQtGjhyJFStWoHnz5lAoFDh9+jRGjRoFPz8/teUB/fSEKgxO5bVo0SKsWrUKV65cQc+ePbF27Vr07NkTJiYvOsl6e3tj+fLlqFevXqn7SExMLLFdV2G7D3VmzZqFoUOH4u7duygoKMD27dtx5coVrF27Fr/88otGx6FLuyUAsLGxwZo1axAVFYWuXbuWq9NEeYJCaW1NTE1NcfToURw9ehSA5m1NdP2cCggIwNy5c7FlyxbpcZOSkvDJJ5+gf//+pZYr7f1ZlKbvz7p16+LKlSuoUaMGmjRpguXLl0s/agvbWr7s7Nmzao7sBW1CbHmDX5mPLwR7Y5Xk5V+/JiYmcHFxQefOnTF9+nS1v0AfP36M4OBg/Pzzz9LZhLy8PAQEBGDVqlUaBYeXG5RevnwZNWvWxPz583Hy5EmNGpR26tQJZ86cQX5+vtRQ+tq1azA1NUW9evVw5coVKBQKHDlyRKW3lD7Senh4OA4fPow9e/aUeP+YMWOwbNkyjb40srOzsWnTJpw5cwYFBQVo1qwZBg8eDEtLS43qeP36dfTs2RN3794td4PxJk2a4PLly2jSpAl8fX3h6+uL9u3bl9h7qCTHjh1D9+7dMXjwYKxevRqjRo3CpUuX8PvvvyM+Ph7NmzfXaD/llZeXh2HDhiEqKgpCCJiZmSE/Px9BQUFYvXp1qaEvPj5e48fQ5AzXvXv30KlTJ5iamuLatWto0aKF9KXw22+/lXj2q6j79+8jODgYMTEx0nvr+fPn6NatG1avXq22fKEDBw7gwIEDSE1NLfYaXLlypdryZfXYVCgUmDFjRpnla9eujREjRmD48OFwd3cvcZvc3Fxs2rSp1EDRoUMHVKlSBevXr5e+jFJSUjB06FDk5uZq9L/bu3cvwsLCkJCQIL23Zs6cCX9/f7VlC73c81TbHxKF7ty5g4SEBPj5+WnV+P+DDz7A/fv3sWXLFjg5OeHChQswNTVF37590aFDB53OPmlDl8+pjIwM9OzZE5cuXcKTJ0/g6emJlJQUtG7dGnv27Cn1+dDn+3PDhg3S58TZs2fRrVs3PHjwAObm5lizZg0GDRqk8WPpoiL+nww7Fez69eu4fPkyhBBo0KABatWqpXHZ1q1b45133sHEiRNha2uL8+fPS11m+/btq1GvkcWLF+Pw4cNYtWqVdAozIyMDISEhaNeuHUaOHImgoCBkZ2dj7969UrlOnTppVEeFQoGDBw9qfEyG0rNnTwghsGHDBuksVlpaGoYMGQITExONe1w8fvwYv/32G+Lj4xEfH49Lly6hUaNG6NSpE7766iu15S9evIivv/5a5Ytl2rRpWp0h0lViYiLOnj2LgoICNG3aVOteNI8fP8aKFStUhlQICQnRqueYruEVeNGbrfAyTf369VGnTh2Ny86ZMwdz585FixYt4OHhUexX58u9MUvy8mWel3tsqrusqA/Xr19HYGAgrly5gtdffx0AkJSUhDp16mDnzp1afd7oUgddf0joqrxBwRgdPHhQ5X3h5+dXam/Sivb06VP8+eefeP3117W65Hv9+nUkJiaiQ4cOsLS01Lr+FfH/ZNipIKWdGdHk8lEhGxsbXLx4Ed7e3iph59atW6hXr55Gg4C99tpriI2NLTbGzaVLl+Dv74+7d+/izJkz8Pf3x4MHD7Q7yEp09+5dHD16tMRf4ZqcYra2tsbx48eLhYrz58+jbdu2Wg/69fDhQxw6dAjR0dHYuHFjqe1Qirpw4UKJ41QAwM6dO9VessrPz0dERAS2bNlS4hgY6rqV6sPp06fRvXt3WFhY4F//+heEEDh9+jSys7Oxb98+NGvWTO0+9DVeEfD/Qyto+0Xg4eGB+fPnY+jQoXqpR6GMjAwMGzYMgYGBGu9bmzFNSiKEQGxsLP7880/pR5Wfn59Wz0lubm6J763CAFUWff2Q0IeSgoIm8vPzsXr16lLP9Gn6g27dunVYvnw5bty4gd9//x3Vq1dHREQEatasiYCAgDLLhoeHY/r06SXWbciQIaVeCrtw4QJ8fHxgYmKCCxculPkYJb2m9NnmJi0tDQMHDkRcXBwUCgWuXbuGmjVrIiQkBA4ODli4cKHGjwXoOfiVq1kzqeXr6yvs7OyEtbW1aNasmWjatKmwsbER9vb2omXLllI36LJ6Hbz22mtS18eiLdK3b98uatasqVE9rK2tRVxcXLH1cXFxwsbGRgghRGJiYqX0BiqvlStXCnNzc2FjYyOqV6+u0rPM29tbo304OjqW2I30yJEjanuMFNq+fbsYP368aNSokTA1NRWurq6if//+4ttvvxV//PGH2vLu7u7S/7CorVu3CisrK7XlZ8yYITw8PMSCBQuEhYWF+Pzzz0VISIhwdnYWkZGRassXFBSILVu2iNGjR4v+/fuLwMBAlUUT7dq1E8OGDRN5eXnSury8PBEcHCzat2+v0T6sra3F4MGDRUxMjMjPz9eozMvWrFkjfHx8hFKpFEqlUjRs2FCjISEKOTk5ST1f9E3THpupqamiZ8+eKl3Ftek2/rLs7GxRUFCgVZmrV6+Kdu3aFXvswh5rmtCl56mxGDt2rLC2thYDBw4UH3/8sQgNDVVZNPHdd9+JqlWrii+++EJYWFhI7/VVq1YJX19fteVdXV3F8uXLVdY9f/5cDBgwQNSrV6/UckWHBimtp2FZ/09fX1+VxdbWVlhZWYmmTZuKpk2bCmtra2FnZyc6deqk9hiGDh0qunXrJm7fvq3ynbV3717RoEEDteULhYWFlbj++fPn4t1339V4P0Ux7FSQiIgI0a9fP5Geni6tS09PFwMGDBCLFy8WWVlZIiAgQPj7+5e6jylTpoh27dqJ5ORkYWtrK65duyaOHDkiatasKWbPnq1RPYKCgoS3t7fYvn27uH37trhz544UloYMGSKEEGLTpk2iefPmuh1wBapWrZr44osvyv3FKMSLN+Gbb74pjh8/LgoKCkRBQYH4/fffhY+PjwgODtZoHy4uLlK40XZMESGEmDNnjqhRo4ZKV+KoqChhZWUltmzZorZ8zZo1pbEubGxspC/ryMhI8d5776ktP27cOKFUKkX37t1FcHCwGDZsmMqiCQsLC3H58uVi6y9duqRRt3EhhNi2bZsYMGCAsLS0FG5ubmL8+PHi5MmTGpUVQoiFCxcKKysrMXXqVBEdHS127twppkyZIqysrMSiRYs02sfUqVPF3LlzNX5MbRw+fFijMWr0MaZJfn6+mDt3rvD09BSmpqYq45H8+OOPasu3adNGdOjQQezZs0ecPXtWnDt3TmXRhD5+SOjDiRMnxLx588SkSZPEhAkTVBZ1nJ2dxe7du3V6/Pr164sdO3YIIVR/nF68eFE4OzurLX/69Gnh4OAgNm/eLIQQIjc3VwQGBor69euL5OTkUsvdunVLCrm3bt0qc1Fn4cKFonfv3uLhw4fSuocPH4qAgADx9ddfqy3v5uYmvW6KPgc3btzQKviWN/iVhWGngnh6epZ41uaPP/6QBnBLSEgo802Qm5srgoKCpKRepUoVoVAoxJAhQ8Tz5881qseTJ0/E+++/L42DYWJiIszNzcXIkSNFZmamEEKIs2fPirNnz2p/kJVEH7/CHz16JPr06SONX2Jubi4UCoXo27evePTokX4qqoHx48eLBg0aiLS0NLFhwwZhaWkptm7dqlFZKysraUBGd3d3kZCQIIR4cWbOzs5ObXlHR0edP9BdXV3F3r17i62PiYnRaCyRojIyMsTKlStF165dhZmZmahdu7aYM2eO2nI1atQQa9asKbZ+9erVasfZKTR+/Hjh4OAgOnToID766COtvxyFECrjTkVGRorFixeLadOmCU9PT41+fepjTJM5c+aImjVrivXr1wtLS0vpy2Xz5s2iVatWastbWVmVGF61oY8fErr68ssvhUKhEPXq1RMdO3ZUOVOhyRkJDw8P6fkvr9LGLLp69WqZg68WFRcXJ+zs7MTOnTtF7969RYMGDURKSorGdYiPj1c561ooLy9PxMfHqy3v6elZ4lnqixcvCg8PD7XlbWxsxNWrV6W/iw5c6uTkpLZ8ofIGv7Iw7FQQfV4+SkxMFD/99JPYvHmz9ELS1pMnT8T58+fFuXPnxJMnT8q1D0OZMmWKCA8P18u+rl27Jnbt2iWio6PFtWvXtC7//PlzsXXrVvH555+LL774Qmzbtk3j4FloyJAhonbt2sLKykrs3LlT43J16tSRBjpr166d9JxERUUJFxcXteVr1Kih8xfbuHHjRLVq1URUVJRISkoSt2/fFps2bRLVqlUTH3/8cbn3e+nSJdGkSRONLp0olcoS/3dXr17VePC1l0/da/vlKIRQuZxao0YNUbNmTdGyZUsxffp0kZGRoba8ra2tuHnzphBCiOrVq4sjR44IIV78Ctb0LJmuIyC3aNFCHD58WKPHKo0x/JBwdXXVaTTrr7/+WowZM0bry4BF1a9fX3o/F/1fREZGimbNmmm8n+joaGFmZiYaNmwo7t+/r1UdTExMShzt/sGDBxq9t2xsbIqNaC2EEAcOHJC+t8rSs2dP8Z///Efa140bN0R+fr545513RP/+/TU4gv+na/B7GcfZqSABAQEYMWIEFi5ciLfeegsKhQInT57E5MmTpYaoJ0+eLLMHSUkNx44fP65VI+dCNjY2Gjd4NDbh4eHo1asXYmJi0LBhw2IDA2oyUFVJz+WhQ4e0ei7L0+ukpHmM+vbti/j4eLz33ntQKBTSNurGHQoMDMSBAwfQsmVLfPzxx3jvvfewYsUKJCUlYcKECeqeAsyePRtz5szBypUrter1VNTXX38NhUKBf//733j+/DkAoEqVKhg9erRGvdGKevbsGXbt2oWNGzciJiYGrq6umDx5stpytWrVwpYtW/Dpp5+qrN+8ebPGPcvi4uK0qmtJdB2rpzxjmrzs7t27Jfa4KigoKHHgxZfNmzcPU6dORVhYWInvLU0GiXRwcEB0dLROPU91ZWJigrZt25a7/JEjRxAXF4dff/0Vb775ZrHnQZNJdqdMmYKxY8fi2bNnEELg5MmT2LRpE8LDw/Hjjz+WWKa0iX5dXFzg4OCADz74QKs6iFIa76alpWnUgykwMBDDhw/HwoUL0apVKwAvvnOmTJmi0aTECxYsgK+vL06fPo3c3FxMnToVly5dwsOHD6VxizTl6+uLdevWoX///qhfvz7i4+N1GgSUvbEqSGZmJiZMmIC1a9dKXwpmZmYIDg5GREQErK2tce7cOQAvxm8pSXnHyJGbzz//HLNmzULdunXh5uam8mbWtOu7Pp7L8vQ6KRwgTh1tRtwtdOLECRw9ehS1atXSaIDGp0+fol+/fjh69Chq1KhR7ANdm67ST58+RWJiIoQQqFWrlla9q/bt24cNGzZg586dMDU1xYABAzB48GCNxugBgG3btmHQoEHw8/ND27Ztpf/bgQMHsGXLFgQGBmpcF0PSx5gmLVq0QGhoKIYMGaLSY3POnDnYv38/Dh8+XGb5oq/Pou8roWYQuooYNVcX8+fPx71798o9ns7w4cPLvH/VqlUa7eeHH37AF198gdu3bwMAqlWrhlmzZpU6oaq6x9W0DoVBJDo6Gt27d4dSqZTuy8/Px4ULF1C3bl3ExMSU+RhPnz7F5MmTsXLlSiksm5mZISQkBAsWLFAbmJKSkmBmZobly5erDK8xduxY5OXlldm7r7Qwdfz4cdSqVUsl6GgS/F7GsFPBMjMzcePGDQgh8MYbb2g8AB1Q/jFy5MbR0REREREYNmxYufehj+dS393XtRUeHg43NzeMGDFCZf3KlStx//59TJs2rczyhV1CBwwYUCw0Ai9G060MVlZWePvttzF48GC8/fbb5ZrCIyEhARERESpnEiZNmqTxFAfAiyHpf/rppxK7fZfnw1RX5RnT5Oeff8bQoUMxffp0zJ07F3PmzFEZAblr165lllc3IF1pAdTYxuEqKCjA22+/jatXr6JBgwblOjOjq+zsbAghYGVlhQcPHuDGjRs4evQoGjRogG7dulXoYxeGpjVr1mDgwIEqZ24Lp/YZOXKkxq+rrKwslR8zmo5rY2pqiuTk5GIDe6alpcHV1bXMH3T6Cn6lYdgxYnIZI0dX7u7uOHz4sNaD3xWlj+fSyckJv/zyC9q0aaOy/ujRo+jdu3eFj3NTo0YNbNy4sdjjnzhxAu+++67ayyrW1tbYu3evyjxKhpCRkaHR5ZGKFBUVhX//+9/w9/dHbGws/P39ce3aNaSkpCAwMLBcH6aaqIgzIrqOgKyPQSINbezYsVixYgU6depUYpCvqP9nUf7+/ujXrx8+/PBDPH78GPXq1UOVKlXw4MEDLFq0SJpLrSJNnToVs2fPls603rp1Czt37kT9+vUrPHABL84UpqSkFAs7f/31Fxo0aICsrKwKr0Np2GbHiKWnpyM1NbXYF/T9+/eleUMcHByK/SqVm48//hjffvttiRP3aUofz2V55jv75ptv8MEHH8DCwkJt/dUNjpiSklJiWw4XFxckJyeXWRYAvLy8DB4ygBftQF6eXqB+/foICAjQeHoBXacnCAsLQ0REBMaOHQtbW1tERkbC29sbo0aN0ri9THm8PI9QQkKCdGkVeDEqtKmpqVZTh3Tr1q3cX2QlDRIZERGBsLAwjQeJNAZr167Ftm3b8Pbbb2tcplmzZjhw4AAcHR3VTrirySXeM2fOSPNtbd26FW5ubjh79iy2bduGmTNnahR2tm7dWuqgoZrU4ezZs1i7dq0UuFq1alUpgaswxCsUCsycOVPlsnZ+fj5OnDhRanONysKwY8T00chZDk6ePImDBw/il19+KXfjQX08l9988w2Cg4PRunVrlTmZ+vTpg8jIyBLLREREYPDgwbCwsCh14kFAs8kGvby8cPTo0WLzth09ehSenp5llgWAhQsXYurUqVi2bBlq1KihdvuKouv0AtevX8fbb7+NO3fulHt6gsTEROmLUalUSjPPT5gwAZ07d8acOXP0cqwvK9owetGiRbC1tcWaNWvg6OgIAHj06BGGDx+O9u3ba7zPx48fY+vWrbhx4wYmT54MJycnnDlzBm5ubmXOZg8AEyZMQO/evfHDDz/AzOzF18Hz58/x/vvvIzQ0FL/99ls5jrLyOTk5aT0tRUBAgNS2RR8T7j59+lSaM3Hfvn3o168fTExM0KpVK/z1119qy3/zzTf47LPPEBwcjOjoaAwfPhyJiYk4deoUxo4dq1Edzp49K7VbKm/gKo/CEC+EwMWLF2Fubi7dZ25ujsaNG2vU+aAoXYNfMeXux0UVTg5j5OjDy4PflWcwPH0+l1evXtWp+3p5ffXVV8LZ2VmsXLlSGiRsxYoVwtnZudQRR4tycHCQjt/GxkY4OjqqLJWlR48eonv37iItLU1a9+DBA9G9e3fRs2fPCi8vxIuBKgtH/W3UqJHYuHGjEEKIY8eOaTRmkT7oOqaJEEKcP39euLi4iFq1agkzMzOVQQWHDh2qtrw+Bok0BitXrhQDBw4UWVlZBqtDw4YNRWRkpEhKShJ2dnbi2LFjQogXY8a4ubmpLV+3bl3pdVi06/qMGTPE2LFjNaqDpaWlNBbXO++8Iw0+m5SUVCn/z2HDhqkMpFtekZGRwsbGRowdO1aYm5uLUaNGCT8/P2Fvby8+/fTTcu2TbXZeAbo0ciZVlf1catpGQ6FQqJ03RgiBTz75BN988430S8fCwgLTpk3DzJkz1T7GmjVryry/tJm19U3Xht76aCgeFBSEFi1aYOLEifjyyy8RGRmJgIAAxMbGolmzZpXSoNXW1hbR0dHo3LmzyvqDBw8iICAAT548UbsPPz8/NGvWDPPnz1fpjXXs2DEEBQXh1q1bZZZ3c3PDunXrirXv2bt3L/7973/j77//1vq4DKFp06ZSg1pdehrqMkfY1q1bERQUhPz8fHTp0gX79u0D8KJjwW+//YZff/21zPJWVla4fPkyqlevDldXV8TGxqJx48a4du0aWrVqhbS0NLV1aNSoEd5//30EBgbCx8cHMTExaN26NRISEvD2228jJSVF7T6MQb169TBr1iy89957Kq/rmTNn4uHDh1iyZInW++RlrFfAqzxGjj7dv39f6iJep04duLi4aL0PXZ7L8kwW+HIbjdJoMrGdQqHAvHnzMGPGDFy+fBmWlpaoXbu2SjfTslRWmFFHqVSW+EWemZmpcvq7osoDwJIlS6SJdKdPn44qVargyJEj6NevH2bMmKHRPnSl65gmwIseZcuXLy+2/rXXXtPoi23QoEEICQnB119/jTZt2kjd+KdMmYL33ntPuwMyIF0vQ129ehUhISE4duyYynqhpgt+UQMGDEC7du2QnJyMxo0bS+u7dOmi0XAI7u7uSEtLQ/Xq1VG9enUcP34cjRs3xs2bN6HpOYmZM2ciKCgIEyZMQJcuXdC6dWsALy6radNT0dCSkpKkjhiWlpbS+33o0KFo1apVucIOL2OR0cvMzBTDhw8Xpqam0qR2ZmZmYsSIEZV62lofkwVWtpfnZitrqSy6Ti+gj+kJgoKCxPfff6/zFAG6yMrKEqNHjxZKpVLl0uro0aOlS6vquLq6ijNnzgghRLGJF6tVq6a2fE5Ojhg/frzK5V2lUilCQ0PFs2fPyn9wrxh9zBGmq5CQEOmy09KlS4WlpaXw8/MTDg4OYsSIERrvJzk5WZw5c0ZlLsETJ07oPHp6ZfL29pamw2nRooVYtmyZEOLF67q8l9wZdsjoffDBB6JmzZpiz5490hfz7t27xRtvvCE+/PDDSquHPiYLrGxFh48vnPlYlxmu9UHX6QX0MT3BBx98IOrWrSsUCoXw8PAQ7777rli6dKlBvhAyMzOlqVw0DTmFRo4cKfr27Styc3Ol4fn/+usv0bRpU62m78jKyhIXLlwQ58+fN2i7F12dPn1arFu3Tqxfv14KgZrQxxxhurpx44bIycmRbm/evFmMGzdOREZGlnuaoFeVvoJfUWyzQ0avatWq2Lp1K3x9fVXWx8XFYeDAgbh//36l1MPT0xOHDh16pXq/xcfHo23btjAzM8OaNWvg5eVVrHt2QUEBkpKSKv0yl67TC+hjeoKUlBQcOnQIhw4dQnx8PK5evQpXV1eNuvIbg4yMDPTs2ROXLl3CkydP4OnpiZSUFLRq1Qq//vqrxoPBvepSU1Px7rvv4tChQ3BwcIAQAunp6ejUqROioqLUXvJ+6623EBERYdAxqHQZkE9uCgoKUFBQIPUQ/Omnn3D48GHUqlULo0ePLtdApAw7ZPSsrKyQkJCA+vXrq6y/dOkS/vWvf1XaQFULFy7EjRs3sGTJEo3a2BgbQ36Y6nMwvdL2VZ4547KysnDkyBEp8Jw5cwYNGjTQuK2VsYiLi1MZVNDPz8/QVapUgwYNQmJiItatWyd9Tvzvf/9DcHAwatWqhU2bNhUrUzi+FvBivKH//Oc/Os0RpitjHpDPEJ49e4YLFy4Uax+pUCjQu3dvrffHsENGr0uXLnB2dsbatWthYWEB4MXQ7MHBwXj48CH2799fKfUIDAxEXFwcnJycyj3ejyGZmJjg77//LvYrtzI+TPU5vYA+5jmbNm0a4uPjcf78efj4+KBDhw7o2LEjOnToAAcHB20Pz6AOHDhQaqP5lStXGqhWlcve3h779+/HW2+9pbL+5MmT8Pf3x+PHj4uVMTExKXE+sKKEFg2Uy6swvEdGRmLkyJElDshnamqq9USar7KYmBgMHTq0xB5o5f1/sDcWGb3FixejR48eqFatGho3bgyFQoFz585BqVRK3Tsrg4ODQ6m9Koz5TE/R0U1nzJhhkNFN9THLeKHCszbq5jmbMGFCqfOcLViwAC4uLpg1axYCAgKKnTV8VcyZMwdz585FixYt4OHhYdSvw4pUUFBQ4qWNKlWqFAuAhYq+Jm/dulXmJd6KVBED8r3qPvroIwwcOBAzZ86Em5ubXvbJMzv0SsjOzsb69evx559/Sm00Bg8erDLhXUVbv349hgwZUuJ9U6ZMwYIFCyqtLtooPKsSHx+P1q1bF/swrVGjBiZPnqzT3GOVSR/znJ0/fx7x8fE4dOgQDh8+DFNTU3Ts2BG+vr7w9fV9ZcKPh4cH5s+fj6FDhxq6KgYVEBCAx48fY9OmTdJo4nfv3sXgwYPh6OiIHTt2lFneGNrLDB8+HJGRkUYxpYuh2dnZ4ezZs1qPil0mXVpME1WGsLAwsWLFimLrV6xYIb766qtKq4e9vb34+eefi62fMGGCcHd3r7R6lJe+Rjc1NGtraxEXF1dsfVxcnLCxsRFCCJGYmChsbW013ue5c+fEsGHDhJmZWaX2TNOVk5OTuH79uqGrYXBJSUmiadOmokqVKqJmzZrijTfeEGZmZqJZs2YiKSlJbXmFQiFSU1OLrb9165awsrKqiCpTGYYPHy5+/PFHve6TZ3bI6Ok627e+xMTE4N1338WuXbvQoUMHAMC4ceOwbds2HDx4EPXq1auUevzTDR48GL///nuJ85y1adMG69atQ1RUFL7++mucPn261P2cPXtWaph8+PBhZGRkoEmTJujUqZPRnqV72bRp02BjY1NpAyEau/3796v00FPXUJvtZYzT06dP8c4778DFxaXEBuPq5hEsCcMOGT0LCwtcvny52ASYN27cQIMGDaSRcCtDVFQUxowZg3379mHlypWIjo5GXFzcK9Ud/VWXmZmJCRMmYO3atXj+/DkAwMzMDMHBwYiIiIC1tTXOnTsHAKW2RXJ0dERmZiYaN24sXbrq0KHDK3cJ4eOPP8batWvRqFEjNGrUqNiXgrqebXJSnobacrvEKxc//vgjPvzwQ1haWsLZ2VmlLZpCocCNGze03ifDDhm92rVrY9asWcXay6xbtw6zZs0q1wtfF0uXLsWECRPg4uKCuLi4co3vQrrTZZ6zX3755ZUMNy8rq5ebJj3b5EJdQ211bXbYXsa4uLu7Y/z48fjkk09gYmKil30y7JDRmzdvHhYsWIAFCxZIkyYeOHAAU6dOxaRJkzB9+vQKe+zSxnTZunUrmjZtqtKA7p/0K5rImLChtrw4OTnh1KlTem2gzLBDRk/oONu3LvQ5PgwRVQxnZ2ecPHlSv713yGAKz5x/+umnetsnww69MjIzM8s12zcRyRsbasvL+PHjsXbtWjRu3FhvbdEYdoiI6JVT9BJzQUEB1qxZw4baMlERbdEYdoiI6JXDS8ykDYYdIiIikjX99OkiIiIiMlIMO0RERCRrDDtEREQkaww7REREJGsMO0QkW9999x28vb1hYWGB5s2b4/Dhw4auEhEZAMMOEcnS5s2bERoais8++wxnz55F+/bt0aNHDyQlJRm6akRUydj1nIhkqWXLlmjWrBmWLl0qratfvz769u2L8PBwA9aMiCobz+wQkezk5uYiISEB/v7+Kuv9/f1x7NgxA9WKiAyFYYeIZOfBgwfIz8+Hm5ubyno3NzekpKQYqFZEZCgMO0QkWwqFQuW2EKLYOiKSP4YdIpKdqlWrwtTUtNhZnNTU1GJne4hI/hh2iEh2zM3N0bx5c8TGxqqsj42NRZs2bQxUKyIyFDNDV4CIqCJMnDgRQ4cORYsWLdC6dWt8//33SEpKwocffmjoqhFRJWPYISJZGjRoENLS0jB37lwkJyfDx8cHe/bsQfXq1Q1dNSKqZBxnh4iIiGSNbXaIiIhI1hh2iIiISNYYdoiIiEjWGHaIiIhI1hh2iIiISNYYdoiIiEjWGHaIiIhI1hh2iIiISNYYdoiIiEjWGHaIiIhI1hh2iIiISNYYdoiIiEjW/g/8y+7pxUzXPgAAAABJRU5ErkJggg==\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(ham_corpus).most_common(30))[0],pd.DataFrame(Counter(spam_corpus).most_common(30))[1])\n",
    "plt.xticks(rotation='vertical')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1c85872",
   "metadata": {},
   "source": [
    "## 4.Model Building"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "id": "a2ea9ada",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer,TfidfVectorizer\n",
    "cv = CountVectorizer() \n",
    "tfidf = TfidfVectorizer(max_features=3000) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "id": "a46d385f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MultinomialNB()"
      ]
     },
     "execution_count": 201,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = tfidf.fit_transform(df['transformed_text']).toarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "a786648b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5169, 3000)"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "4dacdabc",
   "metadata": {},
   "outputs": [],
   "source": [
    "y = df['target'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "ff1451f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 1, ..., 0, 0, 0])"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "id": "1d1e8b01",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "667ffc8a",
   "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": 207,
   "id": "6e1a337b",
   "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": 208,
   "id": "4f32ef57",
   "metadata": {},
   "outputs": [],
   "source": [
    "gnb = GaussianNB()\n",
    "mnb = MultinomialNB()\n",
    "bnb = BernoulliNB()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "a8dbebf4",
   "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": 210,
   "id": "32f95bdc",
   "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": 211,
   "id": "16d76f99",
   "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": 212,
   "id": "b1a3ffa7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#tfidf --> MNB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "7751101a",
   "metadata": {},
   "outputs": [],
   "source": [
    "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": 214,
   "id": "3a9cf11e",
   "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": 240,
   "id": "1bfd86f2",
   "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": 216,
   "id": "03c1fda6",
   "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": 217,
   "id": "410fde84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.9758220502901354, 0.9747899159663865)"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_classifier(svc,X_train,y_train,X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "id": "8454f4e3",
   "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": [
      "C:\\ProgramData\\Anaconda3\\lib\\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 -  0.9274661508704062\n",
      "Precision -  0.8118811881188119\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"
     ]
    }
   ],
   "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": 219,
   "id": "75b97b26",
   "metadata": {},
   "outputs": [],
   "source": [
    "performance_df = pd.DataFrame({'Algorithm':clfs.keys(),'Accuracy':accuracy_scores,'Precision':precision_scores}).sort_values('Precision',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "id": "f16fda85",
   "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>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>0.927466</td>\n",
       "      <td>0.811881</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",
       "6  AdaBoost  0.960348   0.929204\n",
       "9      GBDT  0.947776   0.920000\n",
       "7       BgC  0.957447   0.867188\n",
       "3        DT  0.927466   0.811881"
      ]
     },
     "execution_count": 220,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "performance_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "13868ced",
   "metadata": {},
   "outputs": [],
   "source": [
    "performance_df1 = pd.melt(performance_df, id_vars = \"Algorithm\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "id": "e6638b6b",
   "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>AdaBoost</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.960348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>GBDT</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.947776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>BgC</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.957447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>DT</td>\n",
       "      <td>Accuracy</td>\n",
       "      <td>0.927466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>KN</td>\n",
       "      <td>Precision</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>NB</td>\n",
       "      <td>Precision</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>RF</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.982759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>SVC</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.974790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>ETC</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.974576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>LR</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.970297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>AdaBoost</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.929204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>GBDT</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.920000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>BgC</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.867188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>DT</td>\n",
       "      <td>Precision</td>\n",
       "      <td>0.811881</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   AdaBoost   Accuracy  0.960348\n",
       "7       GBDT   Accuracy  0.947776\n",
       "8        BgC   Accuracy  0.957447\n",
       "9         DT   Accuracy  0.927466\n",
       "10        KN  Precision  1.000000\n",
       "11        NB  Precision  1.000000\n",
       "12        RF  Precision  0.982759\n",
       "13       SVC  Precision  0.974790\n",
       "14       ETC  Precision  0.974576\n",
       "15        LR  Precision  0.970297\n",
       "16  AdaBoost  Precision  0.929204\n",
       "17      GBDT  Precision  0.920000\n",
       "18       BgC  Precision  0.867188\n",
       "19        DT  Precision  0.811881"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "performance_df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "id": "358103ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 613.5x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x = 'Algorithm', y='value', \n",
    "               hue = 'variable',data=performance_df1, kind='bar',height=5)\n",
    "plt.ylim(0.5,1.0)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "id": "ff52c04a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# model improve\n",
    "# 1. Change the max_features parameter of TfIdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "id": "6221dae1",
   "metadata": {},
   "outputs": [],
   "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)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "id": "7ad533c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "temp_df = pd.DataFrame({'Algorithm':clfs.keys(),'Accuracy_scaling':accuracy_scores,'Precision_scaling':precision_scores}).sort_values('Precision_scaling',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "id": "084f35c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df = performance_df.merge(temp_df,on='Algorithm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "id": "5d5095b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df_scaled = new_df.merge(temp_df,on='Algorithm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "ca66462f",
   "metadata": {},
   "outputs": [],
   "source": [
    "temp_df = pd.DataFrame({'Algorithm':clfs.keys(),'Accuracy_num_chars':accuracy_scores,'Precision_num_chars':precision_scores}).sort_values('Precision_num_chars',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "6843d183",
   "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>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>7</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>8</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>9</th>\n",
       "      <td>DT</td>\n",
       "      <td>0.927466</td>\n",
       "      <td>0.811881</td>\n",
       "      <td>0.927466</td>\n",
       "      <td>0.811881</td>\n",
       "      <td>0.927466</td>\n",
       "      <td>0.811881</td>\n",
       "      <td>0.927466</td>\n",
       "      <td>0.811881</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  AdaBoost  0.960348   0.929204            0.960348             0.929204   \n",
       "7      GBDT  0.947776   0.920000            0.947776             0.920000   \n",
       "8       BgC  0.957447   0.867188            0.957447             0.867188   \n",
       "9        DT  0.927466   0.811881            0.927466             0.811881   \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            0.960348             0.929204            0.960348   \n",
       "7            0.947776             0.920000            0.947776   \n",
       "8            0.957447             0.867188            0.957447   \n",
       "9            0.927466             0.811881            0.927466   \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             0.929204  \n",
       "7             0.920000  \n",
       "8             0.867188  \n",
       "9             0.811881  "
      ]
     },
     "execution_count": 230,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df_scaled.merge(temp_df,on='Algorithm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "id": "3d66e4d0",
   "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": 232,
   "id": "904c3702",
   "metadata": {},
   "outputs": [],
   "source": [
    "voting = VotingClassifier(estimators=[('svm', svc), ('nb', mnb), ('et', etc)],voting='soft')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "39b239b7",
   "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": 233,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "voting.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "361a6f08",
   "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": 235,
   "id": "546bc5b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Applying stacking\n",
    "estimators=[('svm', svc), ('nb', mnb), ('et', etc)]\n",
    "final_estimator=RandomForestClassifier()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "id": "046582d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import StackingClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "id": "969f16de",
   "metadata": {},
   "outputs": [],
   "source": [
    "clf = StackingClassifier(estimators=estimators, final_estimator=final_estimator)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "id": "087892ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 0.9777562862669246\n",
      "Precision 0.9259259259259259\n"
     ]
    }
   ],
   "source": [
    "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": 239,
   "id": "4ef09f47",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "pickle.dump(tfidf,open('vectorizer.pkl','wb'))\n",
    "pickle.dump(mnb,open('model.pkl','wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "id": "b4318cd6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model and vectorizer have been successfully trained and saved.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from sklearn.naive_bayes import MultinomialNB\n",
    "import pickle\n",
    "\n",
    "# # Load the dataset\n",
    "# df = pd.read_csv('spam.csv', encoding='latin-1')\n",
    "\n",
    "# # Preprocess the data\n",
    "# df = df.rename(columns={\"v1\": \"label\", \"v2\": \"message\"})\n",
    "# df = df[['label', 'message']]\n",
    "# df['label'] = df['label'].map({'ham': 0, 'spam': 1})\n",
    "\n",
    "# # Split the data\n",
    "# X_train, X_test, y_train, y_test = train_test_split(df['message'], df['label'], test_size=0.2, random_state=42)\n",
    "\n",
    "# Initialize and train the vectorizer\n",
    "tfidf = TfidfVectorizer(max_features=3000)\n",
    "X_train_tfidf = tfidf.fit_transform(X_train)\n",
    "\n",
    "# Initialize and train the model\n",
    "model = MultinomialNB()\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "# Save the trained vectorizer and model\n",
    "with open('vectorizer.pkl', 'wb') as f:\n",
    "    pickle.dump(tfidf, f)\n",
    "\n",
    "with open('model.pkl', 'wb') as f:\n",
    "    pickle.dump(model, f)\n",
    "\n",
    "print(\"Model and vectorizer have been successfully trained and saved.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b7bdccaf",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}