Email Spam Classifier.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "mail = pd.read_csv(\"spam_mail.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Category</th>\n",
       "      <th>Message</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ham</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spam</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>ham</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>ham</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "  Category                                            Message\n",
       "0      ham  Go until jurong point, crazy.. Available only ...\n",
       "1      ham                      Ok lar... Joking wif u oni...\n",
       "2     spam  Free entry in 2 a wkly comp to win FA Cup fina...\n",
       "3      ham  U dun say so early hor... U c already then say...\n",
       "4      ham  Nah I don't think he goes to usf, he lives aro..."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mail.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5572, 2)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mail.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Data Cleaning</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5572 entries, 0 to 5571\n",
      "Data columns (total 2 columns):\n",
      " #   Column    Non-Null Count  Dtype \n",
      "---  ------    --------------  ----- \n",
      " 0   Category  5572 non-null   object\n",
      " 1   Message   5572 non-null   object\n",
      "dtypes: object(2)\n",
      "memory usage: 87.2+ KB\n"
     ]
    }
   ],
   "source": [
    "mail.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Category    0\n",
       "Message     0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mail.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "415"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mail.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "mail = mail.drop_duplicates(keep = \"first\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5157, 2)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mail.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>EDA</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Message</th>\n",
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       "      <td>ham</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spam</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>ham</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
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      "text/plain": [
       "  Category                                            Message\n",
       "0      ham  Go until jurong point, crazy.. Available only ...\n",
       "1      ham                      Ok lar... Joking wif u oni...\n",
       "2     spam  Free entry in 2 a wkly comp to win FA Cup fina...\n",
       "3      ham  U dun say so early hor... U c already then say...\n",
       "4      ham  Nah I don't think he goes to usf, he lives aro..."
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mail.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Category</th>\n",
       "      <th>Message</th>\n",
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       "      <td>5157</td>\n",
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      "text/plain": [
       "       Category                                            Message\n",
       "count      5157                                               5157\n",
       "unique        2                                               5157\n",
       "top         ham  Come by our room at some point so we can iron ...\n",
       "freq       4516                                                  1"
      ]
     },
     "execution_count": 11,
     "metadata": {},
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   ],
   "source": [
    "mail.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ham     4516\n",
       "spam     641\n",
       "Name: Category, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mail[\"Category\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "encoder = LabelEncoder()\n",
    "\n",
    "mail[\"Category\"] = encoder.fit_transform(mail[\"Category\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "   Category                                            Message\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..."
      ]
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     "execution_count": 14,
     "metadata": {},
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   "source": [
    "mail.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "mail[\"Length\"] = mail[\"Message\"].apply(len)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "   Category                                            Message  Length\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"
      ]
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     "execution_count": 16,
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   "source": [
    "mail.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#sns.set()\n",
    "plt.figure(figsize = (5,5))\n",
    "sns.countplot(data = mail, x = \"Category\")\n",
    "plt.title(\"Spam and Ham Mail Counts\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(mail[\"Category\"].value_counts(), labels = [\"Ham\", \"Spam\"], autopct = \"%0.2f\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: ylabel='Frequency'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mail[\"Length\"].plot(kind = \"hist\", bins = 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "mail[\"Number_of_Words\"] = mail[\"Message\"].apply(lambda x:len(nltk.word_tokenize(x)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>Category</th>\n",
       "      <th>Message</th>\n",
       "      <th>Length</th>\n",
       "      <th>Number_of_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": [
       "   Category                                            Message  Length  \\\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",
       "   Number_of_Words  \n",
       "0               24  \n",
       "1                8  \n",
       "2               37  \n",
       "3               13  \n",
       "4               15  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mail.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "mail[\"Number_of_Sentences\"] = mail[\"Message\"].apply(lambda x:len(nltk.sent_tokenize(x)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>Category</th>\n",
       "      <th>Message</th>\n",
       "      <th>Length</th>\n",
       "      <th>Number_of_Words</th>\n",
       "      <th>Number_of_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": [
       "   Category                                            Message  Length  \\\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",
       "   Number_of_Words  Number_of_Sentences  \n",
       "0               24                    2  \n",
       "1                8                    2  \n",
       "2               37                    2  \n",
       "3               13                    1  \n",
       "4               15                    1  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mail.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>Length</th>\n",
       "      <th>Number_of_Words</th>\n",
       "      <th>Number_of_Sentences</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5157.000000</td>\n",
       "      <td>5157.000000</td>\n",
       "      <td>5157.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>79.103936</td>\n",
       "      <td>18.560016</td>\n",
       "      <td>1.965290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>58.382922</td>\n",
       "      <td>13.403671</td>\n",
       "      <td>1.439549</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>61.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>118.000000</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>38.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Length  Number_of_Words  Number_of_Sentences\n",
       "count  5157.000000      5157.000000          5157.000000\n",
       "mean     79.103936        18.560016             1.965290\n",
       "std      58.382922        13.403671             1.439549\n",
       "min       2.000000         1.000000             1.000000\n",
       "25%      36.000000         9.000000             1.000000\n",
       "50%      61.000000        15.000000             1.000000\n",
       "75%     118.000000        26.000000             2.000000\n",
       "max     910.000000       220.000000            38.000000"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mail[[\"Length\", \"Number_of_Words\", \"Number_of_Sentences\"]].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>Length</th>\n",
       "      <th>Number_of_Words</th>\n",
       "      <th>Number_of_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>70.869353</td>\n",
       "      <td>17.267272</td>\n",
       "      <td>1.822852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>56.708301</td>\n",
       "      <td>13.585433</td>\n",
       "      <td>1.374848</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>53.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>91.000000</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>38.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Length  Number_of_Words  Number_of_Sentences\n",
       "count  4516.000000      4516.000000          4516.000000\n",
       "mean     70.869353        17.267272             1.822852\n",
       "std      56.708301        13.585433             1.374848\n",
       "min       2.000000         1.000000             1.000000\n",
       "25%      34.000000         8.000000             1.000000\n",
       "50%      53.000000        13.000000             1.000000\n",
       "75%      91.000000        22.000000             2.000000\n",
       "max     910.000000       220.000000            38.000000"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mail[mail[\"Category\"] == 0][[\"Length\", \"Number_of_Words\", \"Number_of_Sentences\"]].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>Length</th>\n",
       "      <th>Number_of_Words</th>\n",
       "      <th>Number_of_Sentences</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>641.000000</td>\n",
       "      <td>641.000000</td>\n",
       "      <td>641.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>137.118565</td>\n",
       "      <td>27.667707</td>\n",
       "      <td>2.968799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>30.399707</td>\n",
       "      <td>7.103501</td>\n",
       "      <td>1.486069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>7.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>130.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>148.000000</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>223.000000</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Length  Number_of_Words  Number_of_Sentences\n",
       "count  641.000000       641.000000           641.000000\n",
       "mean   137.118565        27.667707             2.968799\n",
       "std     30.399707         7.103501             1.486069\n",
       "min      7.000000         2.000000             1.000000\n",
       "25%    130.000000        25.000000             2.000000\n",
       "50%    148.000000        29.000000             3.000000\n",
       "75%    157.000000        32.000000             4.000000\n",
       "max    223.000000        46.000000             9.000000"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mail[mail[\"Category\"] == 1][[\"Length\", \"Number_of_Words\", \"Number_of_Sentences\"]].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='Length', ylabel='Count'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 5))\n",
    "sns.histplot(mail[mail[\"Category\"] == 0][\"Length\"])\n",
    "sns.histplot(mail[mail[\"Category\"] == 1][\"Length\"], color = \"red\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='Number_of_Words', ylabel='Count'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 5))\n",
    "sns.histplot(mail[mail[\"Category\"] == 0][\"Number_of_Words\"])\n",
    "sns.histplot(mail[mail[\"Category\"] == 1][\"Number_of_Words\"], color = \"red\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='Number_of_Sentences', ylabel='Count'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 5))\n",
    "sns.histplot(mail[mail[\"Category\"] == 0][\"Number_of_Sentences\"])\n",
    "sns.histplot(mail[mail[\"Category\"] == 1][\"Number_of_Sentences\"], color = \"red\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x2a7b930db80>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 593.375x540 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data = mail, hue = \"Category\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: >"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(mail.corr(), annot = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Data Preprocessing</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "def transform_message(message):\n",
    "    message = message.lower()\n",
    "    message = nltk.word_tokenize(message)\n",
    "    \n",
    "    y = []\n",
    "    for i in message:\n",
    "        if i.isalnum():\n",
    "            y.append(i)\n",
    "            \n",
    "    message = y[:]\n",
    "    y.clear()\n",
    "    \n",
    "    for i in message:\n",
    "        if i not in stopwords.words(\"english\") and i not in string.punctuation:\n",
    "            y.append(i)\n",
    "            \n",
    "    message = y[:]\n",
    "    y.clear()\n",
    "    \n",
    "    for i in message:\n",
    "        y.append(ps.stem(i))\n",
    "        \n",
    "    return \" \".join(y)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "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": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from nltk.corpus import stopwords\n",
    "stopwords.words(\"english\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.stem.porter import PorterStemmer\n",
    "ps = PorterStemmer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'!\"#$%&\\'()*+,-./:;<=>?@[\\\\]^_`{|}~'"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import string\n",
    "string.punctuation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "mail[\"Transformed_Message\"] = mail[\"Message\"].apply(transform_message)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>Category</th>\n",
       "      <th>Message</th>\n",
       "      <th>Length</th>\n",
       "      <th>Number_of_Words</th>\n",
       "      <th>Number_of_Sentences</th>\n",
       "      <th>Transformed_Message</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": [
       "   Category                                            Message  Length  \\\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",
       "   Number_of_Words  Number_of_Sentences  \\\n",
       "0               24                    2   \n",
       "1                8                    2   \n",
       "2               37                    2   \n",
       "3               13                    1   \n",
       "4               15                    1   \n",
       "\n",
       "                                 Transformed_Message  \n",
       "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  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mail.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "word_cloud = WordCloud(height = 500, width = 500, min_font_size = 10, background_color = \"white\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "spam_wordcloud = word_cloud.generate(mail[mail[\"Category\"] == 1][\"Transformed_Message\"].str.cat(sep = \" \"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2a7b9f1b400>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (8,5))\n",
    "plt.imshow(spam_wordcloud, interpolation = \"bilinear\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "ham_wordcloud = word_cloud.generate(mail[mail[\"Category\"] == 0][\"Transformed_Message\"].str.cat(sep = \" \"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2a7bb3f95b0>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (8,5))\n",
    "plt.imshow(spam_wordcloud, interpolation = \"bilinear\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "spam_corpus = []\n",
    "\n",
    "for msg in mail[mail[\"Category\"] == 1][\"Transformed_Message\"].tolist():\n",
    "    for word in msg.split():\n",
    "        spam_corpus.append(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9781"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(spam_corpus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('call', 311),\n",
       " ('free', 186),\n",
       " ('2', 154),\n",
       " ('txt', 139),\n",
       " ('text', 122),\n",
       " ('ur', 119),\n",
       " ('u', 115),\n",
       " ('mobil', 110),\n",
       " ('stop', 108),\n",
       " ('repli', 103),\n",
       " ('claim', 96),\n",
       " ('4', 95),\n",
       " ('prize', 78),\n",
       " ('get', 73),\n",
       " ('new', 64),\n",
       " ('servic', 64),\n",
       " ('send', 60),\n",
       " ('tone', 59),\n",
       " ('urgent', 56),\n",
       " ('award', 55)]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from collections import Counter\n",
    "Counter(spam_corpus).most_common(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x = pd.DataFrame(Counter(spam_corpus).most_common(20))[0], \n",
    "            y = pd.DataFrame(Counter(spam_corpus).most_common(20))[1])\n",
    "\n",
    "plt.xticks(rotation = \"vertical\")            \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "ham_corpus = []\n",
    "\n",
    "for msg in mail[mail[\"Category\"] == 0][\"Transformed_Message\"].tolist():\n",
    "    for word in msg.split():\n",
    "        ham_corpus.append(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "35938"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ham_corpus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('u', 897),\n",
       " ('go', 407),\n",
       " ('get', 351),\n",
       " ('2', 288),\n",
       " ('gt', 288),\n",
       " ('lt', 287),\n",
       " ('come', 278),\n",
       " ('got', 239),\n",
       " ('know', 237),\n",
       " ('like', 236),\n",
       " ('call', 235),\n",
       " ('love', 222),\n",
       " ('time', 220),\n",
       " ('ok', 216),\n",
       " ('good', 215),\n",
       " ('want', 209),\n",
       " ('ur', 203),\n",
       " ('day', 195),\n",
       " ('ü', 173),\n",
       " ('need', 171)]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Counter(ham_corpus).most_common(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEYCAYAAACz2+rVAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy89olMNAAAACXBIWXMAAAsTAAALEwEAmpwYAAAbjklEQVR4nO3deZhkVZnn8e8LtKjsSIkMhRautI0oUK6oQ4sLuIGCLC4gg9IqiDZ2K/rooI52tyviMowIKCgqWsCACqiDsimiVYCgom2JItAIJQLiBtL9zh/n5KmorKysuJERmUHV9/M8+WTcG3FPvJFL/O4959wbkZlIkgSwzlwXIEkaH4aCJKkxFCRJjaEgSWoMBUlSYyhIkpr15rqAmdhiiy1ywYIFc12GJN2rLFmy5LeZOW+q++7VobBgwQIWL14812VI0r1KRFy3qvvsPpIkNYaCJKkxFCRJjaEgSWoMBUlSYyhIkhpDQZLUGAqSpOZeffLahGXHfa7zNvNe+/IRVCJJ924eKUiSGkNBktQYCpKkxlCQJDWGgiSpMRQkSY2hIElqDAVJUmMoSJIaQ0GS1BgKkqTGUJAkNYaCJKkxFCRJjaEgSWoMBUlSYyhIkhpDQZLUjDQUIuIfI+LHEfGjiPhCRNw3IraNiMsiYmlEnBYR96mPXb8uL633LxhlbZKklY0sFCJia+AIYGFmbg+sC+wPvA84JjMfDtwGHFI3OQS4ra4/pj5OkjSLRt19tB5wv4hYD7g/cBPwDGBRvf9kYK96e8+6TL1/t4iIEdcnSeoxslDIzBuBDwK/poTBHcAS4PbMvKc+7AZg63p7a+D6uu099fEPGFV9kqSVjbL7aDPK3v+2wH8DNgB2H0K7h0bE4ohYvGzZspk2J0nqMcruo2cCv8zMZZn5V+AMYBdg09qdBDAfuLHevhHYBqDevwlw6+RGM/P4zFyYmQvnzZs3wvIlae0zylD4NfCkiLh/HRvYDfgJ8G1gn/qYg4Cz6u2z6zL1/m9lZo6wPknSJKMcU7iMMmB8OXB1fa7jgbcAR0bEUsqYwYl1kxOBB9T1RwJHjao2SdLU1lv9QwaXmUcDR09afS3whCke+xfgJaOsR5I0Pc9oliQ1hoIkqTEUJEmNoSBJagwFSVJjKEiSGkNBktQYCpKkxlCQJDWGgiSpMRQkSY2hIElqDAVJUmMoSJIaQ0GS1BgKkqTGUJAkNYaCJKkxFCRJjaEgSWoMBUlSYyhIkhpDQZLUGAqSpMZQkCQ1hoIkqTEUJEmNoSBJagwFSVJjKEiSGkNBktQYCpKkxlCQJDWGgiSpMRQkSY2hIElqDAVJUjPSUIiITSNiUUT8NCKuiYgnR8TmEfHNiPh5/b5ZfWxExEcjYmlEXBURO42yNknSykZ9pHAscF5mbgc8FrgGOAo4PzMfAZxflwH2AB5Rvw4FjhtxbZKkSUYWChGxCfB04ESAzLw7M28H9gROrg87Gdir3t4TOCWL7wGbRsRWo6pPkrSyUR4pbAssAz4dEVdExAkRsQGwZWbeVB/zG2DLentr4Pqe7W+o6yRJs2SUobAesBNwXGbuCPyR5V1FAGRmAtml0Yg4NCIWR8TiZcuWDa1YSdJoQ+EG4IbMvKwuL6KExM0T3UL1+y31/huBbXq2n1/XrSAzj8/MhZm5cN68eSMrXpLWRiMLhcz8DXB9RDyqrtoN+AlwNnBQXXcQcFa9fTZwYJ2F9CTgjp5uJknSLFhvxO2/Hjg1Iu4DXAscTAmiL0XEIcB1wL71secAzwWWAn+qj5UkzaKRhkJmXgksnOKu3aZ4bAKHjbIeSdL0PKNZktQYCpKkxlCQJDWGgiSpMRQkSY2hIElqDAVJUmMoSJIaQ0GS1BgKkqTGUJAkNYaCJKkxFCRJjaEgSWoMBUlSYyhIkhpDQZLUGAqSpMZQkCQ1hoIkqTEUJEmNoSBJagwFSVJjKEiSmoFDISIOHmYhkqS5N5MjhXcNrQpJ0lhYb7o7I+KqVd0FbDn8ciRJc2naUKC88T8HuG3S+gC+O5KKJElzZnWh8FVgw8y8cvIdEXHBKAqSJM2daUMhMw+Z5r6XDr8cSdJcckqqJKkxFCRJjaEgSWoMBUlSYyhIkhpDQZLUGAqSpGbkoRAR60bEFRHx1bq8bURcFhFLI+K0iLhPXb9+XV5a718w6tokSSuajSOFNwDX9Cy/DzgmMx9OuXzGxAlyhwC31fXH1MdJkmbRSEMhIuYDzwNOqMsBPANYVB9yMrBXvb1nXabev1t9vCRplqzu2kcz9RHgzcBGdfkBwO2ZeU9dvgHYut7eGrgeIDPviYg76uN/O+Ia+c1x7xlouwe99u1DrkSS5tbIjhQi4vnALZm5ZMjtHhoRiyNi8bJly4bZtCSt9UbZfbQL8MKI+BXwRUq30bHAphExcYQyH7ix3r4R2Aag3r8JcOvkRjPz+MxcmJkL582bN8LyJWntM7JQyMy3Zub8zFwA7A98KzNfBnwb2Kc+7CDgrHr77LpMvf9bmZmjqk+StLK5OE/hLcCREbGUMmZwYl1/IvCAuv5I4Kg5qE2S1mqjHmgGIDMvAC6ot68FnjDFY/4CvGQ26pEkTc0zmiVJjaEgSWoMBUlSYyhIkhpDQZLUGAqSpMZQkCQ1s3Kewtrgp5/Yc6DttjvsrNU/SJJmiUcKkqTGUJAkNYaCJKkxFCRJjaEgSWoMBUlSYyhIkhpDQZLUGAqSpMZQkCQ1hoIkqTEUJEmNoSBJarxK6hi54FPP67zNrq/+2grLiz69e+c29jn4vHb7k599TuftAf7hFV8faDtJ48UjBUlS45GChu6dXxrsaOOd+3q0Ic01jxQkSY2hIElqDAVJUmMoSJIaQ0GS1BgKkqTGUJAkNYaCJKnx5DWNpT3O2rvzNufuefoIKpHWLoaC1ljPPfM9nbc550Vvb7efd8ZxAz3v11782nb7+YtOHaiNr+7zsoG2k2bK7iNJUmMoSJIau4+kMffCRV/pvM3Z+7xgBJVobTCyUIiIbYBTgC2BBI7PzGMjYnPgNGAB8Ctg38y8LSICOBZ4LvAn4JWZefmo6pPWJi86/ZLO25y591NHUInG3SiPFO4B3pSZl0fERsCSiPgm8Erg/Mz8t4g4CjgKeAuwB/CI+vVE4Lj6XdIc2++MpQNtd9qLH95uf+LMmwdq47AXbTnQdhrMyEIhM28Cbqq374yIa4CtgT2BXevDTgYuoITCnsApmZnA9yJi04jYqrYjSZx72m87b7PHfluMoJI116wMNEfEAmBH4DJgy543+t9QupegBMb1PZvdUNdJkmbJyAeaI2JD4HTgjZn5+zJ0UGRmRkR2bO9Q4FCABz/4wcMsVdJa4IoTbum8zY6veuAIKhlPIz1SiIi/oQTCqZl5Rl19c0RsVe/fCpj4Dd0IbNOz+fy6bgWZeXxmLszMhfPmzRtd8ZK0Fhrl7KMATgSuycwP99x1NnAQ8G/1+1k96w+PiC9SBpjvcDxB0ri56f0r7av2Zas33zt6w0fZfbQL8Arg6oi4sq57GyUMvhQRhwDXAfvW+86hTEddSpmSevAIa5MkTWGUs48uAWIVd+82xeMTOGxU9UiSVs/LXEiSGkNBktR47SNJmmU3f2RJ5222fOPOKyzf8vFvdG7jgYc/e7WP8UhBktQYCpKkxlCQJDWGgiSpMRQkSY2hIElqDAVJUmMoSJIaQ0GS1BgKkqTGUJAkNYaCJKkxFCRJjaEgSWoMBUlSYyhIkhpDQZLUGAqSpMZQkCQ1hoIkqTEUJEmNoSBJagwFSVJjKEiSGkNBktQYCpKkxlCQJDWGgiSpMRQkSY2hIElqDAVJUmMoSJIaQ0GS1BgKkqTGUJAkNWMVChGxe0T8LCKWRsRRc12PJK1txiYUImJd4BPAHsCjgQMi4tFzW5UkrV3GJhSAJwBLM/PazLwb+CKw5xzXJElrlXEKha2B63uWb6jrJEmzJDJzrmsAICL2AXbPzFfV5VcAT8zMwyc97lDg0Lr4KOBn0zS7BfDbGZa2prQxDjWMSxvjUMO4tDEONYxLG+NQw2y18ZDMnDflPZk5Fl/Ak4Gv9yy/FXjrDNtcPIS61og2xqGGcWljHGoYlzbGoYZxaWMcahiHNsap++gHwCMiYtuIuA+wP3D2HNckSWuV9ea6gAmZeU9EHA58HVgXOCkzfzzHZUnSWmVsQgEgM88Bzhlik8fbxljVMC5tjEMN49LGONQwLm2MQw1z3sbYDDRLkubeOI0pSJLmmKEgSWrGakxhGCLif061PjPfPYs1bJuZv1zdumm2345y4t5lmfmHnvW7Z+Z5HepYPzPvWt261bTxhsw8dnXrRmkYr0PDFRE7Z+aSSeuen5lfncUadsnM76xu3TTbrwsckZnHzLCOdTPzP2fYxpy/b01YE48U/tjz9Z+Uaykt6NJARGwSEcdExOL69aGI2KRDE6dPsW5Rn899BHAW8HrgRxHRe6mPf+lQA8Clfa6bzkFTrHtlvxtHxP0j4h0R8am6/IiIeH7HGmb8OiLikoh4b73o4kYdn3+ijYFeS0QcOd3XgLU8JCKeWW/fr8triohHRsT5EfGjurxDRLy9Ywmfiojte9o8AHhHH899dURctaqvjjV8rM91U6pv5Ad0fM6p/DwiPjDItdoi4s315kDvWxGx+XRfXeuBNfBIITM/1LscER+kTHPt4iTgR8C+dfkVwKeBF0+3Ud3D/ztgk4jofezGwH37fO5XAztn5h8iYgGwKCIW1D3z6KeBiHgQ5UjjfhGx06Q67t9nGwcALwW2jYje80U2An7XTxvVp4EllJMTAW4Evgysdo9y0uvYkeWvv+/X0eMVwNOAvYEPRMRdwMWZ+Y8d2hj0tQwUQqsSEa+mnNW/OfAwYD7wf4Dd+mziU8A/A58EyMyrIuLzwHs6lLEP5W/zpZSf64HAs/vYbiJED6vfP1u/v6zfJ46IJwNPAeZNCtWNKdPZu/hORHwcOI3yhgxAZl7eoY3HUs6rOiEi1qG8f3wxM3/fx7bX1Ocb9H1rCZCU/40HA7fV25sCvwa27e8lLLfGhcIU7k/5p+niYZm5d8/yuyLiyj62exTlj35T4AU96++kvNn3Y52JLqPM/FVE7Er553sIfYYC8BzK3vx84IOT6nhrn218F7iJcrp87x/snUCXPbqHZeZ+NWTIzD9FxCCv48OTanhbhxrIzF9GxF+Au+vX3wN/26UNBnwtmfmujs+zOodRLiB5WW3/5xHxwA7b3z8zvz+p9Hu6FJCZ10bE/sD/pbz5PDsz/9zHdtcBRMSzMnPHnruOiojLgX4umX8fYEPK+1dv4P6eElZdPK5+n/gdBeVN9hn9NpCZd1KC9lMR8d+BzwPHRMQi4H9l5tJpNt8Z+MoU6/t638rMbQHq0euZdVo/EbEHsFe/r6HXGhcKEXE15ZcKZa9hHtC1X+7PEfHUzLyktrkL0M8f/FnAWRHx5Mzs2k0z4eaIeFxmXlnb/EPtojgJeEw/DWTmycDJEfEmlu9FUG9v3tv+NG1cB1zH8r3iQd0dEferz01EPAzoayyg53XsnZlTdcn1LSJ+QbkWzOeBE4HXZ+Z/dWxmoNcSER+d7v7MPKJjHXdl5t0Tb+oRsR7L/+b78dta+8Tr2IeyA7Bak/6/oBytrAtcFhFk5g591hDR0/8fEU+hz+7szLwQuDAiPjMRMjNwwVRP0aWBKGMTzwMOpnT5fAg4lXIEdQ7wyGk2v7i2MdP3rSdlZtvxzMxzI+L9HbZv1rhQYPnhKZS9n5szs9NeEPAa4JSecYTbmLpvfVVujYjzgS0zc/uI2AF4YWb2c3h+IJP22mr9B0bEJzvUAGUvZCHlciFB+dlcBbwmIr6cmav8o4mIO5n6nyNKSblxnzUcDZwHbBMRpwK70GFMojo/Ij4MPL0uXwi8OzPv6NDGR4GnUvqQd6S8qVyUmb/o0Magr2XJ6h/SyYUR8TZKt9qzgNcx9d7mqhxGOblpu4i4Efgl8PI+t+39/9qM8saXlDe32zvUcAhwUv0fC8r/2P/osD3A+hFxPOWNuL2XZWbfe/nAH3pu35fy+q7pWMfPgW8DH8jM7/asXxQRT1/FNgBk5vn15kzft/6jjgt9ri6/DPiPDts3nrw2hZ5+yg3r9z8AdwBLVreHXbe/kNpnO3GIHBE/ysztp99yuCLiIuC5E91REbEh8DVgd8prmZUPMYqIBwBPovzzfy8zO10BMiJOp4zxnFxXvQJ4bGZOO8azirY2pOzR/RMwPzP77oOuA3dBz2sBNup3Vtmw1H7rQyh9+EHpez4hO/4zR8QGlO7KOweo4QhKl+gZtYa9gE9lZt8DvbWdTQA6BvzEtj+kjKUsoQzOUtsaOIQjYn3KhTl37bDNhr2zBOdC/ds8mrLjlMBFlB2nLuN/pS1DYWV10G2qPewFwLR72HX7H2Tm4yPiip5QuDIzHzfSwleu46fAYzLzr3V5feCHmbldb22zUMcOrLw3d0aH7Vf62XX9eUbEhyhHChtSZi5dTBlovrZDG98B9pgYQIyIv6X8PfQV9hExD3gL5ZMF28SDjnu21EkMXxt0Sm5EbEo5Il3Air+TvruxoswUenJm/rEubwBc2m/3UQ2DiTcxGODoLyKWZObO/T6+zzY3A36QmQ/vsM19KSH9d6z4e+165DNjEbHBxO9kUGti99EwzAd26tnDPpqyh/10yl7J6vrqBu6zHbJTKX29Z9XlFwCfr//AP5mNAiLiJGAH4MfARB9+UvYw+zXQGM8klwLvz8ybO27X61+Ar0TEc4HtgFPoMGuG8vs4jdL//BpKl+SyAep4AWUg86La3nkduxrOoRzlXM3y30lXQc/eeb3d7wQCGHCG3yRfiYjXAWfSM7bTZe94SGOQnwV+SpkY8W7K30TXLqgZqWMyJ1B2eh4cEY8F/iEzX9e5LY8UVjbTPeyIeCilz/YplL7SXwIvG8KgWGcRsZDS9w3wncxcPMvP/5OZdlPVP/BTgBXGeDKz07z2iHghPXummdmlH36ijb2AN1Nmveydmf/eYdslmblzRFw1sUc9cVQ5QB1/Q5nLvh/lCOibWT+gqo9tL8/MnVb/yGnbOJISamfWVXsBn8nMj/S5/TCO/qbqtsvMfGiHNh7SszjQGOTEe8LE77X+bi7OzCd1aWcmIuIyysyrs2faZe2RwtRmuoe9F2Vv7NuUGRV/BJ5Z3xSuHH65q1ZDYFaDYJJLI+LRmTmTI5PdKOMJvWM8j4+Idfr9eUbEv1KmcZ5aVx0RZZbYaqe2RsTHWHHQfRPgF8DhdcZNv90uf63fb4qI51EGAgc6wSgz/xoR59a67kf5m+srFIDPRjnX4asMuIedmR+OiAsogQRwcGZe0e/2DOHob2I65kwMaUdt4vd6e5QT+n4DdJkiPBSZeX2sOM14oLOsPVJYhZnsYc90TGJNEmXe9tmUf5S7WD57qd+pi0P5edY+8MdNTEOt0wiv6KeOiJh25lmdOrtaUaYWXwxsQznzdmPgnV2PWKLMQd8P2JUypfJLwDf63cONiMOA91JmC028AXTaw56piHgcJegnZh/9jsGO/rZn5TGaU4ZXaV81vIpyFYPHAJ+h7Ly8IzO7zhacSQ2LKOfyfBx4IvAGYGFm7t+5LUNh+MZl1s84iIilwJFM6r/usoc2jJ9nDYVdJ/aG62yNC7qE00xFxMnAGzLz9p4aPth1QDIivkAZSzh3kMHmiLgWeELXWWCjEBEbA2R/Z/9O3vZoSjA+mnJkvgdwSWZ2PYFtIDH1JUraOUGZ+eEp7h9VLVsAxwLPrDV8g/K3dmvXtuw+Go0HsuJJTX+lnLPw5yiXV1ibLMvMmX6s6jB+nv8KXBER36b80zyd/s6eJSK+lJn7xsonbgF0OWFrh4lAqNv9LsrlOzrJzAMiYkvgWbW74PuZeUuHJpYCf+r6vMM0efZRlGncXc892YdyiYkrMvPg+jP53Gq2GaaJs6kfBTye5R8f/ALg+7NYBzXgu0x6WCVDYTTmfNbPGLmidv98hRX7r7vMPprxzzMzv1D7wCcGdd+Smb/p8/nfUL93vZDfZOtExGaZeRu0I4XO/4MR8RLK5UsuoATcxyLinzOzr4suUsa4rqwB2fs76Xpm9UwMY/bRXzLzvyLinnrEcQula25WZL18ST2S3Snr+R4R8U7KkeysiYhHAscx2AmzK7Zl99FozPWsn3EREZ+eYnUO0GUy459nRGwNPIQV5+Zf1LWdQUXEgZRrNn25rnoJ8N7M/Oyqt5qynR8Cz5o4Oohy/sP/y8zH9rn9lGMk/Y6NDMOQZh/9b8rPc3/gTZQJCFdm5sFDLLWfOn5GOQq8qy6vD1yVmY+axRqGdsKsRwojMgazfsbCsP5BZ/rzjIj3UQZnJ58vsdpQiCFd8iMzT4mIxSy/2NqLB5yVtc6k7qJb6XAZ/Nl885/GMM492ZgSrBdQLj+ycdeB6iE5Bfh+RKwwPXeWa5jxRQ4nGAoaqYiYT5lpM7GXfzFlAOyGWS5lL+BRgwzMZubQLn1dQ2CmXYjnRcTXgS/U5f0oA63TWs3YSPZ7pDEkM72+GJQLGz6N8vf1MEpX5UU5ix8ABZCZ763Tg59WV3WdnjsMQzth1u4jjVREfJNyZdKJLpKXU07ke9Ys13Eu8JKc42vUDEtE7E1P0GbmmdM9vm6zVWbeFBFfonQ1tLsoZ3vvu4pNhy5meH2xnnbWpYwT/T0laP6cmdsNsdR7hRjiCbOGgkZqGH3HQ6rjdMpMlfOZu8HVsRBTnNEcPWdZz1INwzj35HxgA5Zfy+qSjrOw1hh1HGMfys9vc8pnS2QO8HGedh9p1G6NiJezvKvjAEof+Gy7lOVTBicM9RPRRm2mYxsR8VrKZbYfGit+9OVGQF+fazxEM72+GJQQ2RnYnnKUcXtEXJp9fNjPGugsysmIlzPgJbMneKSgkYpybZmPUT6sJymf6Pb6zLx+luu4HDgwMyc+l/gA4I2Z+cTZrGMu1f77zSjnbPSeo3FnDnCJ5RnWMrQr+Eb5fOpXUi6H/qDMXH8UNY+zQWcaTcUjBY3auymXL+idm/9Bun+gykwN+pnCa4x6YtgdDOfD6mdqxueeRMThlN/lzsCvKOc+XDz8Uu8VvhsRj8nMq2fakEcKGqmp9vq67gkOsZZHsvwzhV+0lnYzjI2ZnnsSEf9ECYEl2f3TFdcoEfET4OGUAeaBrjHW2jIUNEr1RKtdJx0pXJiZfX3e9BCef/L0ywdS9pbvgk6XqJDGVqx4CfBmkNlHdh9p1D5EuXz2CmfxzuLzz/TSFNLYG+TNf1U8UtDIRcSjWX4W77cGPItX0iwwFCRJTd/XS5EkrfkMBUlSYyhIQxYRu0fEzyJiaUT09UE+0rhwTEEaonqBtn8HngXcAPwAOMDBdd1beKQgDdcTgKWZeW1m3g18EdhzjmuS+mYoSMO1NdB7Xacb6jrpXsFQkCQ1hoI0XDey4ofHz6/rpHsFQ0Earh8Aj4iIbSPiPpQPlZ/8OQ7S2PLaR9IQZeY99ZLOXwfWBU7KzB/PcVlS35ySKklq7D6SJDWGgiSpMRQkSY2hIElqDAVJUmMoSJIaQ0GS1BgKkqTm/wODq7YGgCtK6wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x = pd.DataFrame(Counter(ham_corpus).most_common(20))[0], \n",
    "            y = pd.DataFrame(Counter(ham_corpus).most_common(20))[1])\n",
    "\n",
    "plt.xticks(rotation = \"vertical\")            \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Model Building</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer,TfidfVectorizer\n",
    "\n",
    "#cv = CountVectorizer()\n",
    "tfidf = TfidfVectorizer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "#X = cv.fit_transform(mail[\"Transformed_Message\"]).toarray()\n",
    "X = tfidf.fit_transform(mail[\"Transformed_Message\"]).toarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5157, 6781)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = mail[\"Category\"].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 1, ..., 0, 0, 0])"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "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": 60,
   "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": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "gnb = GaussianNB()\n",
    "mnb = MultinomialNB()\n",
    "bnb = BernoulliNB()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score on Gaussian Model 0.8691860465116279\n",
      "Confusion Matrix [[787 118]\n",
      " [ 17 110]]\n",
      "Precision Score 0.4824561403508772\n"
     ]
    }
   ],
   "source": [
    "gnb.fit(X_train, y_train)\n",
    "y_prediction1 = gnb.predict(X_test)\n",
    "print(\"Accuracy score on Gaussian Model\", accuracy_score(y_test, y_prediction1))\n",
    "print(\"Confusion Matrix\", confusion_matrix(y_test, y_prediction1))\n",
    "print(\"Precision Score\", precision_score(y_test, y_prediction1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score on Multinomial Model 0.9612403100775194\n",
      "Confusion Matrix [[905   0]\n",
      " [ 40  87]]\n",
      "Precision Score 1.0\n"
     ]
    }
   ],
   "source": [
    "mnb.fit(X_train, y_train)\n",
    "y_prediction2 = mnb.predict(X_test)\n",
    "print(\"Accuracy score on Multinomial Model\", accuracy_score(y_test, y_prediction2))\n",
    "print(\"Confusion Matrix\", confusion_matrix(y_test, y_prediction2))\n",
    "print(\"Precision Score\", precision_score(y_test, y_prediction2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score on Bernoulli Model 0.9718992248062015\n",
      "Confusion Matrix [[902   3]\n",
      " [ 26 101]]\n",
      "Precision Score 0.9711538461538461\n"
     ]
    }
   ],
   "source": [
    "bnb.fit(X_train, y_train)\n",
    "y_prediction3 = bnb.predict(X_test)\n",
    "print(\"Accuracy score on Bernoulli Model\", accuracy_score(y_test, y_prediction3))\n",
    "print(\"Confusion Matrix\", confusion_matrix(y_test, y_prediction3))\n",
    "print(\"Precision Score\", precision_score(y_test, y_prediction3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "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": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "svc = SVC(kernel = \"sigmoid\", gamma = 1.0)\n",
    "\n",
    "knc = KNeighborsClassifier()\n",
    "\n",
    "mnb = MultinomialNB()\n",
    "\n",
    "dtc = DecisionTreeClassifier(max_depth = 5)\n",
    "\n",
    "lrc = LogisticRegression(solver = \"liblinear\", penalty = \"l1\")\n",
    "\n",
    "rfc = RandomForestClassifier(n_estimators = 50, random_state = 2)\n",
    "\n",
    "abc = AdaBoostClassifier(n_estimators = 50, random_state = 2)\n",
    "\n",
    "bc = BaggingClassifier(n_estimators = 50, random_state = 2)\n",
    "\n",
    "etc = ExtraTreesClassifier(n_estimators = 50, random_state = 2)\n",
    "\n",
    "gbdt = GradientBoostingClassifier(n_estimators = 50,random_state = 2)\n",
    "\n",
    "xgb = XGBClassifier(n_estimators = 50,random_state = 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "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": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_classifier(clf,X_train,y_train,X_test,y_test):\n",
    "    clf.fit(X_train,y_train)\n",
    "    y_prediction = clf.predict(X_test)\n",
    "    accuracy = accuracy_score(y_test,y_prediction)\n",
    "    precision = precision_score(y_test,y_prediction)\n",
    "    \n",
    "    return accuracy,precision"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.9612403100775194, 1.0)"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_classifier(mnb,X_train,y_train,X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For  SVC\n",
      "Accuracy :  0.9718992248062015\n",
      "Precision :  0.9803921568627451\n",
      "For  KN\n",
      "Accuracy :  0.9040697674418605\n",
      "Precision :  1.0\n",
      "For  NB\n",
      "Accuracy :  0.9612403100775194\n",
      "Precision :  1.0\n",
      "For  DT\n",
      "Accuracy :  0.935077519379845\n",
      "Precision :  0.8191489361702128\n",
      "For  LR\n",
      "Accuracy :  0.9515503875968992\n",
      "Precision :  0.9230769230769231\n",
      "For  RF\n",
      "Accuracy :  0.9680232558139535\n",
      "Precision :  1.0\n",
      "For  AdaBoost\n",
      "Accuracy :  0.9631782945736435\n",
      "Precision :  0.9587628865979382\n",
      "For  BgC\n",
      "Accuracy :  0.9622093023255814\n",
      "Precision :  0.9074074074074074\n",
      "For  ETC\n",
      "Accuracy :  0.9738372093023255\n",
      "Precision :  1.0\n",
      "For  GBDT\n",
      "Accuracy :  0.9534883720930233\n",
      "Precision :  0.9759036144578314\n",
      "For  xgb\n",
      "Accuracy :  0.9718992248062015\n",
      "Precision :  0.9622641509433962\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": 71,
   "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": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "#performance_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "#performance_df1 = pd.melt(performance_df, id_vars = \"Algorithm\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "#performance_df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1]\n",
      "It's a Spam Mail\n"
     ]
    }
   ],
   "source": [
    "#input_mail = [\"Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...\"]\n",
    "\n",
    "input_mail = [\"XXXMobileMovieClub: To use your credit, click the WAP link in the next txt message or click here>> http://wap. xxxmobilemovieclub.com?n=QJKGIGHJJGCBL\"]\n",
    "\n",
    "mail_feature = tfidf.transform(input_mail)\n",
    "\n",
    "prediction = mnb.predict(mail_feature)\n",
    "\n",
    "print(prediction)\n",
    "\n",
    "if prediction[0] == 0:\n",
    "    print(\"It's a Ham Mail\")\n",
    "    \n",
    "else:\n",
    "    print(\"It's a Spam Mail\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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