SMS-Spam-Detection .ipynb

{
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   "source": [
    "# Machine Learning Classification Project - SMS Spam Detection"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4767333",
   "metadata": {},
   "source": [
    "### Table of Content\n",
    "<hr>\n",
    "\n",
    "- [IMPORTS](#1)\n",
    "- [Loading Data](#2)\n",
    "- [Data Cleaning](#3)\n",
    "- [EDA](#4)\n",
    "-[Data Preprocessing](#5)\n",
    "-[Model Buiding](#6)\n",
    "-[Model](#7)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc51b706",
   "metadata": {},
   "source": [
    "### Introduction To Dataset \n",
    "<hr>\n",
    "\n",
    "**Context**\n",
    "\n",
    "The SMS Spam Collection is a set of SMS tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,574 messages, tagged acording being ham (legitimate) or spam.\n",
    "\n",
    "**Content**\n",
    "\n",
    "The files contain one message per line. Each line is composed by two columns: v1 contains the label (ham or spam) and v2 contains the raw text.\n",
    "\n",
    "This corpus has been collected from free or free for research sources at the Internet:\n",
    "\n",
    "-> A collection of 425 SMS spam messages was manually extracted from the Grumbletext Web site. This is a UK forum in which cell phone users make public claims about SMS spam messages, most of them without reporting the very spam message received. The identification of the text of spam messages in the claims is a very hard and time-consuming task, and it involved carefully scanning hundreds of web pages.\n",
    "\n",
    "-> A subset of 3,375 SMS randomly chosen ham messages of the NUS SMS Corpus (NSC), which is a dataset of about 10,000 legitimate messages collected for research at the Department of Computer Science at the National University of Singapore. The messages largely originate from Singaporeans and mostly from students attending the University. These messages were collected from volunteers who were made aware that their contributions were going to be made publicly available. \n",
    "\n",
    "\n",
    "-> Finally, we have incorporated the SMS Spam Corpus v.0.1 Big. It has 1,002 SMS ham messages and 322 spam messages and it is public available. This corpus has been used in the following academic researches:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4739d292",
   "metadata": {},
   "source": [
    "### IMPORTS <a name=\"1\"></a>\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5bf02869",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd \n",
    "from sklearn.preprocessing import LabelEncoder, MinMaxScaler\n",
    "from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.naive_bayes import GaussianNB, MultinomialNB, BernoulliNB\n",
    "from sklearn.metrics import accuracy_score, confusion_matrix, precision_score\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier, GradientBoostingClassifier, VotingClassifier, StackingClassifier\n",
    "from xgboost import XGBClassifier\n",
    "import matplotlib.pyplot as plt\n",
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem.porter import PorterStemmer\n",
    "import seaborn as sns\n",
    "from string import punctuation\n",
    "from wordcloud import WordCloud\n",
    "from collections import Counter\n",
    "import pickle"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2bd105f",
   "metadata": {},
   "source": [
    "### Loading Data <a name=\"2\"></a>\n",
    "<hr>\n",
    "\n",
    "I was using a dataset downloaded from [Kaggle](https://www.kaggle.com/datasets/uciml/sms-spam-collection-dataset) while reading this dataset it threw this error: UnicodeDecodeError: 'utf-8' codec can't decode byte 0xf1 in position 183: invalid continuation byte\n",
    "\n",
    "AS UCI had udated their dataset, so I had used [ISO 8859-1](https://www.w3schools.com/charsets/ref_html_8859.asp) single-byte encoding that can represent the first 256 Unicode characters "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "42fd8856",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>v1</th>\n",
       "      <th>v2</th>\n",
       "      <th>Unnamed: 2</th>\n",
       "      <th>Unnamed: 3</th>\n",
       "      <th>Unnamed: 4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ham</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5567</th>\n",
       "      <td>spam</td>\n",
       "      <td>This is the 2nd time we have tried 2 contact u...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5568</th>\n",
       "      <td>ham</td>\n",
       "      <td>Will Ì_ b going to esplanade fr home?</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5569</th>\n",
       "      <td>ham</td>\n",
       "      <td>Pity, * was in mood for that. So...any other s...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5570</th>\n",
       "      <td>ham</td>\n",
       "      <td>The guy did some bitching but I acted like i'd...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5571</th>\n",
       "      <td>ham</td>\n",
       "      <td>Rofl. Its true to its name</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5572 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        v1                                                 v2 Unnamed: 2  \\\n",
       "0      ham  Go until jurong point, crazy.. Available only ...        NaN   \n",
       "1      ham                      Ok lar... Joking wif u oni...        NaN   \n",
       "2     spam  Free entry in 2 a wkly comp to win FA Cup fina...        NaN   \n",
       "3      ham  U dun say so early hor... U c already then say...        NaN   \n",
       "4      ham  Nah I don't think he goes to usf, he lives aro...        NaN   \n",
       "...    ...                                                ...        ...   \n",
       "5567  spam  This is the 2nd time we have tried 2 contact u...        NaN   \n",
       "5568   ham              Will Ì_ b going to esplanade fr home?        NaN   \n",
       "5569   ham  Pity, * was in mood for that. So...any other s...        NaN   \n",
       "5570   ham  The guy did some bitching but I acted like i'd...        NaN   \n",
       "5571   ham                         Rofl. Its true to its name        NaN   \n",
       "\n",
       "     Unnamed: 3 Unnamed: 4  \n",
       "0           NaN        NaN  \n",
       "1           NaN        NaN  \n",
       "2           NaN        NaN  \n",
       "3           NaN        NaN  \n",
       "4           NaN        NaN  \n",
       "...         ...        ...  \n",
       "5567        NaN        NaN  \n",
       "5568        NaN        NaN  \n",
       "5569        NaN        NaN  \n",
       "5570        NaN        NaN  \n",
       "5571        NaN        NaN  \n",
       "\n",
       "[5572 rows x 5 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_df = pd.read_csv(\"spam.csv\", encoding=\"ISO-8859-1\")\n",
    "data_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e136fd20",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5572, 5)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b70e531",
   "metadata": {},
   "source": [
    "### Data Cleaning <a name=\"3\"></a>\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7afd2905",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5572 entries, 0 to 5571\n",
      "Data columns (total 5 columns):\n",
      " #   Column      Non-Null Count  Dtype \n",
      "---  ------      --------------  ----- \n",
      " 0   v1          5572 non-null   object\n",
      " 1   v2          5572 non-null   object\n",
      " 2   Unnamed: 2  50 non-null     object\n",
      " 3   Unnamed: 3  12 non-null     object\n",
      " 4   Unnamed: 4  6 non-null      object\n",
      "dtypes: object(5)\n",
      "memory usage: 217.8+ KB\n"
     ]
    }
   ],
   "source": [
    "data_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "75b17402",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th>v1</th>\n",
       "      <th>v2</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>ham</td>\n",
       "      <td>Lolnice. I went from a fish to ..water.?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4211</th>\n",
       "      <td>spam</td>\n",
       "      <td>Missed call alert. These numbers called but le...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3444</th>\n",
       "      <td>ham</td>\n",
       "      <td>wiskey Brandy Rum Gin Beer Vodka Scotch Shampa...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>ham</td>\n",
       "      <td>Yeah you should. I think you can use your gt a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2956</th>\n",
       "      <td>ham</td>\n",
       "      <td>I would but I'm still cozy. And exhausted from...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2909</th>\n",
       "      <td>ham</td>\n",
       "      <td>How do you guys go to see movies on your side.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2762</th>\n",
       "      <td>ham</td>\n",
       "      <td>ARR birthday today:) i wish him to get more os...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>529</th>\n",
       "      <td>ham</td>\n",
       "      <td>Jay says that you're a double-faggot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1935</th>\n",
       "      <td>ham</td>\n",
       "      <td>Did either of you have any idea's? Do you know...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1890</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ok but knackered. Just came home and went to s...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        v1                                                 v2\n",
       "503    ham           Lolnice. I went from a fish to ..water.?\n",
       "4211  spam  Missed call alert. These numbers called but le...\n",
       "3444   ham  wiskey Brandy Rum Gin Beer Vodka Scotch Shampa...\n",
       "219    ham  Yeah you should. I think you can use your gt a...\n",
       "2956   ham  I would but I'm still cozy. And exhausted from...\n",
       "2909   ham     How do you guys go to see movies on your side.\n",
       "2762   ham  ARR birthday today:) i wish him to get more os...\n",
       "529    ham               Jay says that you're a double-faggot\n",
       "1935   ham  Did either of you have any idea's? Do you know...\n",
       "1890   ham  Ok but knackered. Just came home and went to s..."
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# As we can see the data information with not null counts. Hence, most of the data are in v1 and v2 columns,\n",
    "# however columns such as Unnamed: 2, Unnamed: 3 and Unnamed: 4 have most missing values.So, lets drop this unwanted cols\n",
    "\n",
    "data_df.drop(columns=[\"Unnamed: 2\", \"Unnamed: 3\", \"Unnamed: 4\"], inplace=True)\n",
    "data_df.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "86b39b6c",
   "metadata": {},
   "outputs": [
    {
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       "      <td>ham</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "    </tr>\n",
       "    <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",
       "</div>"
      ],
      "text/plain": [
       "  Target                                               Text\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": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Now, we got our desired dataframe. Furthermore, we have to rename our dataframe column's for better understanding \n",
    "\n",
    "data_df.rename(columns={\"v1\" : \"Target\",\n",
    "                       \"v2\" : \"Text\"}, inplace=True)\n",
    "data_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e031c51",
   "metadata": {},
   "source": [
    "Converting Target columns into binary : \"ham\" is classified as 0 and \"spam\" is classified as 1. Whereas, I can also use\n",
    " [LabelEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) for the same specific \n",
    " work \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f284da4a",
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>3589</th>\n",
       "      <td>0</td>\n",
       "      <td>I am in escape theatre now. . Going to watch K...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>0</td>\n",
       "      <td>Beautiful Truth against Gravity.. Read careful...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>925</th>\n",
       "      <td>0</td>\n",
       "      <td>K, wait chikku..il send aftr  &amp;lt;#&amp;gt; mins</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3417</th>\n",
       "      <td>1</td>\n",
       "      <td>LIFE has never been this much fun and great un...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1545</th>\n",
       "      <td>0</td>\n",
       "      <td>Good afternoon, my love ! Any job prospects ? ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4938</th>\n",
       "      <td>0</td>\n",
       "      <td>Tomarrow i want to got to court. At  &amp;lt;DECIM...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2702</th>\n",
       "      <td>0</td>\n",
       "      <td>Omw back to tampa from west palm, you hear wha...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5095</th>\n",
       "      <td>0</td>\n",
       "      <td>K.k.this month kotees birthday know?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1973</th>\n",
       "      <td>0</td>\n",
       "      <td>I had askd u a question some hours before. Its...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4397</th>\n",
       "      <td>0</td>\n",
       "      <td>Can you tell Shola to please go to college of ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Target                                               Text\n",
       "3589       0  I am in escape theatre now. . Going to watch K...\n",
       "2012       0  Beautiful Truth against Gravity.. Read careful...\n",
       "925        0       K, wait chikku..il send aftr  &lt;#&gt; mins\n",
       "3417       1  LIFE has never been this much fun and great un...\n",
       "1545       0  Good afternoon, my love ! Any job prospects ? ...\n",
       "4938       0  Tomarrow i want to got to court. At  &lt;DECIM...\n",
       "2702       0  Omw back to tampa from west palm, you hear wha...\n",
       "5095       0               K.k.this month kotees birthday know?\n",
       "1973       0  I had askd u a question some hours before. Its...\n",
       "4397       0  Can you tell Shola to please go to college of ..."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_df[\"Target\"] = data_df[\"Target\"].apply(lambda x:1 if x==\"spam\" else 0)\n",
    "data_df.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "327e2bbb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Target    0\n",
       "Text      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# finally our desired dataframe structure is ready now let's check missing values in our dataframe\n",
    "data_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "065e00f7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Duplicate Values in our dataframe : 403\n"
     ]
    }
   ],
   "source": [
    "# Luckily we dont have any missing values, meanwhile I want to assure for duplicates values in our dataframe\n",
    "duplicate_values = data_df.duplicated().sum()\n",
    "print(\"Duplicate Values in our dataframe : {}\".format(duplicate_values))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "438ce193",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Duplicate Values in our dataframe : 0\n"
     ]
    }
   ],
   "source": [
    "# As I can see that there are 403 duplicate values in our df lets remover duplicates \n",
    "data_df = data_df.drop_duplicates(keep=\"first\")\n",
    "duplicate_values= data_df.duplicated().sum()\n",
    "print(\"Duplicate Values in our dataframe : {}\".format(duplicate_values))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b47af725",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5169, 2)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49449427",
   "metadata": {},
   "source": [
    "### EDA <a name=\"4\"></a>\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ead565fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    4516\n",
       "1     653\n",
       "Name: Target, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_df[\"Target\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5e9aec10",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(data_df[\"Target\"].value_counts(), \n",
    "       labels=[\"Ham\", \"Spam\"], \n",
    "       autopct=\"%0.2f\",\n",
    "       explode=[0.1, 0])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "58467a57",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Here I can see the situation of data imbalance, because of more contribution of ham into the data : approx 88%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "59f84a50",
   "metadata": {},
   "outputs": [],
   "source": [
    "# In addition, on further analysis I will count number of alphabets, words as well as sentenses into particular SMS  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7eb1a589",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\vasup\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nltk.download(\"punkt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "88191aee",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\vasup\\AppData\\Local\\Temp\\ipykernel_7328\\3155905574.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data_df[\"Number_of_characters\"] = data_df[\"Text\"].apply(len)\n"
     ]
    }
   ],
   "source": [
    "# 1. Creating new columns specially to count characters\n",
    "data_df[\"Number_of_characters\"] = data_df[\"Text\"].apply(len)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8e66deba",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\vasup\\AppData\\Local\\Temp\\ipykernel_7328\\1647956131.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data_df[\"Number_of_words\"] = data_df[\"Text\"].apply(lambda x : len(nltk.word_tokenize(x)))\n"
     ]
    }
   ],
   "source": [
    "# 2. Creating new columns specially to count words\n",
    "data_df[\"Number_of_words\"] = data_df[\"Text\"].apply(lambda x : len(nltk.word_tokenize(x)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "03ce09b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\vasup\\AppData\\Local\\Temp\\ipykernel_7328\\1139270374.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data_df[\"Number_of_sentences\"] = data_df[\"Text\"].apply(lambda x : len(nltk.sent_tokenize(x)))\n"
     ]
    }
   ],
   "source": [
    "# 3. Creating new columns specially to count sentences\n",
    "data_df[\"Number_of_sentences\"] = data_df[\"Text\"].apply(lambda x : len(nltk.sent_tokenize(x)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e92ffd90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Target</th>\n",
       "      <th>Text</th>\n",
       "      <th>Number_of_characters</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",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5567</th>\n",
       "      <td>1</td>\n",
       "      <td>This is the 2nd time we have tried 2 contact u...</td>\n",
       "      <td>161</td>\n",
       "      <td>35</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5568</th>\n",
       "      <td>0</td>\n",
       "      <td>Will Ì_ b going to esplanade fr home?</td>\n",
       "      <td>37</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5569</th>\n",
       "      <td>0</td>\n",
       "      <td>Pity, * was in mood for that. So...any other s...</td>\n",
       "      <td>57</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5570</th>\n",
       "      <td>0</td>\n",
       "      <td>The guy did some bitching but I acted like i'd...</td>\n",
       "      <td>125</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5571</th>\n",
       "      <td>0</td>\n",
       "      <td>Rofl. Its true to its name</td>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5169 rows × 5 columns</p>\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...   \n",
       "...      ...                                                ...   \n",
       "5567       1  This is the 2nd time we have tried 2 contact u...   \n",
       "5568       0              Will Ì_ b going to esplanade fr home?   \n",
       "5569       0  Pity, * was in mood for that. So...any other s...   \n",
       "5570       0  The guy did some bitching but I acted like i'd...   \n",
       "5571       0                         Rofl. Its true to its name   \n",
       "\n",
       "      Number_of_characters  Number_of_words  Number_of_sentences  \n",
       "0                      111               24                    2  \n",
       "1                       29                8                    2  \n",
       "2                      155               37                    2  \n",
       "3                       49               13                    1  \n",
       "4                       61               15                    1  \n",
       "...                    ...              ...                  ...  \n",
       "5567                   161               35                    4  \n",
       "5568                    37                9                    1  \n",
       "5569                    57               15                    2  \n",
       "5570                   125               27                    1  \n",
       "5571                    26                7                    2  \n",
       "\n",
       "[5169 rows x 5 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6b7fc2b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number_of_characters</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>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>18.455794</td>\n",
       "      <td>1.965564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>58.236293</td>\n",
       "      <td>13.324758</td>\n",
       "      <td>1.448541</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>38.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Number_of_characters  Number_of_words  Number_of_sentences\n",
       "count           5169.000000      5169.000000          5169.000000\n",
       "mean              78.977945        18.455794             1.965564\n",
       "std               58.236293        13.324758             1.448541\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            38.000000"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_df[[\"Number_of_characters\", \"Number_of_words\", \"Number_of_sentences\"]].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "27da8cc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number_of_characters</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>70.459256</td>\n",
       "      <td>17.123782</td>\n",
       "      <td>1.820195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>56.358207</td>\n",
       "      <td>13.493970</td>\n",
       "      <td>1.383657</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>38.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Number_of_characters  Number_of_words  Number_of_sentences\n",
       "count           4516.000000      4516.000000          4516.000000\n",
       "mean              70.459256        17.123782             1.820195\n",
       "std               56.358207        13.493970             1.383657\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            38.000000"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ham_describe = data_df[data_df[\"Target\"]==0][[\"Number_of_characters\", \"Number_of_words\", \"Number_of_sentences\"]].describe()\n",
    "ham_describe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "1c5ab3ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number_of_characters</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>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>2.970904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>30.137753</td>\n",
       "      <td>7.008418</td>\n",
       "      <td>1.488425</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>9.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Number_of_characters  Number_of_words  Number_of_sentences\n",
       "count            653.000000       653.000000           653.000000\n",
       "mean             137.891271        27.667688             2.970904\n",
       "std               30.137753         7.008418             1.488425\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             9.000000"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spam_describe = data_df[data_df[\"Target\"]==1][[\"Number_of_characters\", \"Number_of_words\", \"Number_of_sentences\"]].describe()\n",
    "spam_describe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "03266ea5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Clearly, there is huge diffenct in statistical data when both ham and spam are compared. Because of more words and \n",
    "# charcaters are involed in spam SMS as compared to ham, which is mean(27.66), mean(137.39) \n",
    "# and mean(17.12), mean(70.45); respectivey"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "19aaa459",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='Number_of_characters', ylabel='Count'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Ly5PD4ZAkORwOPffccyoqKlJ0dLQkafXq1bLZbEpMTGz0M4KCghQUFNTitQMAAN/TrLBTVVWla6+99oI/fPr06Ro5cqTi4+NVVlamxYsX64svvnBf1v7ggw9q6tSpioiIkM1m06RJk+RwODR06FBJ0ogRI5SYmKgJEyboxRdfVEFBgWbMmKHU1FTCDAAAkNTM01i//OUvtXjx4gv+8KKiIt17773q2bOnhg8frs2bN+uzzz7TT3/6U0nSvHnzdNttt2ns2LG64YYbFBMTow8++MC9vL+/v5YvXy5/f385HA7dc889uvfeezV79uwLrg0AAJhDs47sVFRU6M0339SaNWvUr18/BQQEeLS/8sorTVrP22+/fc724OBgpaenKz09vdE+CQkJWrFiRZM+DwAAXHqaFXa+/fZbDRgwQJK0Y8cOjzaLxXLBRQEAALSUZoWdzz//vKXrAAAAuCiaNWYHAACgrWjWkZ2bb775nKer1q5d2+yCAAAAWlKzwk7teJ1a1dXVys7O1o4dO+o9IBQAAMCbmhV25s2b1+D8p556SuXl5RdUEAAAQEtq0TE799xzz3k9FwsAAOBia9Gwk5mZqeDg4JZcJQAAwAVp1mmsMWPGeEwbhqH8/Hxt2bJFM2fObJHCAAAAWkKzwk5YWJjHtJ+fn3r27KnZs2drxIgRLVIYfpzLVaPc3Fz3dM+ePWW1NmuXAgBgWs36ZVy4cGFL14FmOHUsX88u26+ouHKVFx3SglQpKSnJ22UBAOBTLugwQFZWlnbv3i3phx/ZgQMHtkhRaLqQqMsUFtvd22UAAOCzmhV2ioqKdPfdd+uLL75QeHi4JKm4uFg333yzlixZok6dOrVkjQAAAM3WrKuxJk2apLKyMu3cuVMnTpzQiRMntGPHDpWWluo3v/lNS9cIAADQbM06srNy5UqtWbNGvXv3ds9LTExUeno6A5QBAIBPadaRHZfLpYCAgHrzAwIC5HK5LrgoAACAltKssDNs2DA99thjOnLkiHve4cOHNWXKFA0fPrzFigMAALhQzQo7//M//6PS0lJ17dpVl19+uS6//HJ169ZNpaWlev3111u6RgAAgGZr1piduLg4ffPNN1qzZo327NkjSerdu7eSk5NbtDgAAIALdV5HdtauXavExESVlpbKYrHopz/9qSZNmqRJkybp6quvVlJSkv75z39erFoBAADO23mFnVdffVUPPfSQbDZbvbawsDD96le/0iuvvNJixQEAAFyo8wo727Zt0y233NJo+4gRI5SVlXXBRQEAALSU8wo7hYWFDV5yXstqtero0aMXXBQAAEBLOa+wc9lll2nHjh2Ntn/77bfq3LnzBRcFAADQUs4r7Nx6662aOXOmKioq6rWdOXNGs2bN0m233dZixQEAAFyo87r0fMaMGfrggw905ZVXKi0tTT179pQk7dmzR+np6aqpqdETTzxxUQoFAABojvMKO3a7XevXr9ejjz6q6dOnyzAMSZLFYlFKSorS09Nlt9svSqEAAADNcd43FUxISNCKFSt08uRJ5ebmyjAM9ejRQx07drwY9QEAAFyQZt1BWZI6duyoq6++uiVrAQAAaHHNejYWAABAW0HYAQAApkbYAQAApkbYAQAApkbYAQAApkbYAQAApkbYAQAApkbYAQAApkbYAQAApkbYAQAAptbsx0XAt7hcNcrNzXVP9+zZU1YruxcAAH4NTeLUsXw9u2y/ouLKVV50SAtSpaSkJG+XBQCA1xF2TCQk6jKFxXb3dhkAAPgUxuwAAABTI+wAAABTI+wAAABTY8yOCZ19ZZbE1VkAgEsXv34mVPfKLElcnQUAuKQRdkyKK7MAAPgBY3YAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpeTXszJkzR1dffbU6dOig6OhojR49Wjk5OR59KioqlJqaqsjISIWGhmrs2LEqLCz06JOXl6dRo0apffv2io6O1rRp0+R0OltzUwAAgI/yathZt26dUlNTtWHDBq1evVrV1dUaMWKETp065e4zZcoUffzxx1q6dKnWrVunI0eOaMyYMe72mpoajRo1SlVVVVq/fr3eeecdLVq0SE8++aQ3NgkAAPgYr95BeeXKlR7TixYtUnR0tLKysnTDDTeopKREb7/9thYvXqxhw4ZJkhYuXKjevXtrw4YNGjp0qFatWqVdu3ZpzZo1stvtGjBggJ555hk9/vjjeuqppxQYGOiNTQMAAD7Cp8bslJSUSJIiIiIkSVlZWaqurlZycrK7T69evRQfH6/MzExJUmZmpvr27Su73e7uk5KSotLSUu3cubMVqwcAAL7IZ56N5XK5NHnyZF133XXq06ePJKmgoECBgYEKDw/36Gu321VQUODuUzfo1LbXtjWksrJSlZWV7unS0tKW2gwAAOBjfObITmpqqnbs2KElS5Zc9M+aM2eOwsLC3K+4uLiL/pkAAMA7fCLspKWlafny5fr888/VpUsX9/yYmBhVVVWpuLjYo39hYaFiYmLcfc6+Oqt2urbP2aZPn66SkhL36+DBgy24NQAAwJd4NewYhqG0tDR9+OGHWrt2rbp16+bRPmjQIAUEBCgjI8M9LycnR3l5eXI4HJIkh8Oh7du3q6ioyN1n9erVstlsSkxMbPBzg4KCZLPZPF4AAMCcvDpmJzU1VYsXL9Y//vEPdejQwT3GJiwsTO3atVNYWJgefPBBTZ06VREREbLZbJo0aZIcDoeGDh0qSRoxYoQSExM1YcIEvfjiiyooKNCMGTOUmpqqoKAgb24eAADwAV4NO/Pnz5ck3XTTTR7zFy5cqPvuu0+SNG/ePPn5+Wns2LGqrKxUSkqK3njjDXdff39/LV++XI8++qgcDodCQkI0ceJEzZ49u7U2AwAA+DCvhh3DMH60T3BwsNLT05Went5on4SEBK1YsaIlSwMAACbhEwOUAQAALhbCDgAAMDXCDgAAMDXCDgAAMDXCDgAAMDWfeTYWLh6Xq0a5ubnu6Z49e8pqZdcDAC4N/OJdAk4dy9ezy/YrKq5c5UWHtCBVSkpK8nZZAAC0CsLOJSIk6jKFxXb3dhkAALQ6ws4lhlNaAIBLDb9ylxhOaQEALjWEnUsQp7QAAJcSLj0HAACmRtgBAACmxmmsS9jZg5UlBiwDAMyHX7VLWN3BypK8PmC5pqZG+/btc09369ZN/v7+XqkFAGAehB0vcTqdysnJkSTl5ubKMAyv1OFLg5X37dunA//v/ykhKEgHKiul99/XFVdc4e2yAABtHGHHS3JycvRI+nKFRndR4Z4s2RK4/FuSEoKCdEX79t4uAwBgIgxQ9qLQ6C4Ki+2u9hF2b5cCAIBpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpWb1dAHyHy1Wj3Nxc93TPnj1ltfJPBADQtvFLBrdTx/L17LL9ioorV3nRIS1IlZKSkrxdFgAAF4SwAw8hUZcpLLa7t8sAAKDFMGYHAACYGmEHAACYGmEHAACYmlfDzpdffqnbb79dsbGxslgs+uijjzzaDcPQk08+qc6dO6tdu3ZKTk7W3r17PfqcOHFC48ePl81mU3h4uB588EGVl5e34lYAAABf5tWwc+rUKfXv31/p6ekNtr/44ot67bXXtGDBAm3cuFEhISFKSUlRRUWFu8/48eO1c+dOrV69WsuXL9eXX36phx9+uLU2AQAA+DivXo01cuRIjRw5ssE2wzD06quvasaMGbrjjjskSf/3f/8nu92ujz76SHfffbd2796tlStXavPmzRo8eLAk6fXXX9ett96q//7v/1ZsbGyrbQsAAPBNPjtmZ9++fSooKFBycrJ7XlhYmIYMGaLMzExJUmZmpsLDw91BR5KSk5Pl5+enjRs3tnrNaB6n06mdO3dq7969On3mjFyG4e2SAAAm4rP32SkoKJAk2e12j/l2u93dVlBQoOjoaI92q9WqiIgId5+GVFZWqrKy0j1dWlraUmWjGXbt2qUHXvj/ZPG3akbhSV0eHCxZLN4uCwBgEj4bdi6mOXPm6Omnn/Z2GW2G0+lUTk6Ox7yWfJTE4cOH9XDG33TMIsniswcbAQBtlM+GnZiYGElSYWGhOnfu7J5fWFioAQMGuPsUFRV5LOd0OnXixAn38g2ZPn26pk6d6p4uLS1VXFxcC1ZvLjk5OXokfblCo7tIksoKDmjayCRdccUVklom+HS2BshfFslZdcH1AgBQl8/+b3S3bt0UExOjjIwM97zS0lJt3LhRDodDkuRwOFRcXKysrCx3n7Vr18rlcmnIkCGNrjsoKEg2m83jhXMLje6isNjuPzxKws9fzy7bpt8tzdYj6cvrHfUBAMCXePXITnl5ucdTtvft26fs7GxFREQoPj5ekydP1rPPPqsePXqoW7dumjlzpmJjYzV69GhJUu/evXXLLbfooYce0oIFC1RdXa20tDTdfffdXIl1kfEMLQBAW+HVsLNlyxbdfPPN7unaU0sTJ07UokWL9Pvf/16nTp3Sww8/rOLiYl1//fVauXKlgoOD3cu8++67SktL0/Dhw+Xn56exY8fqtddea/VtAQAAvsmrYeemm26ScY7LjC0Wi2bPnq3Zs2c32iciIkKLFy++GOXBKwydPnNGpy0WHd67V127dm2xgdAAgEuTz47ZwaXJVV2tA8fKdeDEac38y1rGAwEALhj/ywyf4x8QJKu/v9pHNn5FHQAATcWRHQAAYGqEHQAAYGqEHQAAYGqM2cFFc/ZjJlryERMAADQVvzy4IC5XjceNIesGmrqPmSgvOqQFqVJSUpK3SgUAXKIIO7ggp47l69ll+xUVV17vmVm5ubkK6fTDnZbPFYoAALiY+LXBBat9dERZ0SE9u2ybouLKJUmFe7JkS/jhSE7dUMRRHgBAayLsoEXVfWZWWdGhRtsAAGgthB00qO5pp9zc3HM+1gMAAF9G2EGD6p52qns6CgCAtob77KBRtaed2kfYvV0KAADNRtgBAACmxmkstLqzL0M/cOCALjMkWbxXEwDAvAg7aHV1xwNJUt7mTXre5ZL8/b1cGQDAjAg78Ir2EZ3lZw38YcLfTxJXewEALg7CDryiouSo7l3yomKtgdpcfFRGQJDkzz9HAEDLY4AyvCbWGqj4wGBF+3H6CgBw8RB2AACAqRF2AACAqRF2AACAqTEitBU5nU7l5ORI4nlTAAC0FsJOK8rJydEj6csVGt2F500BANBKCDutLDS6i8Jiu6us6JC3S2kVhsulsqJDOlNyTP5V1SoNCdGZkmNyOl3cWQcA0CoIO7ioau+nE1VVqW3OanUODFK0y6Vtzmq52odKgcHeLhEAYHKEHVx0sdZA2V0u5bsMdbYGKPbf7wEAaA1cjQUAAEyNsAMAAEyNsAMAAEyNsAMAAEyNsAMAAEyNsAMAAEyNsAMAAEyNsAMAAEyNsAMAAEyNsAMAAEyNsAMAAEyNsAMAAEyNsAOfVGMYOlN8THl5ecrNzVVNTY23SwIAtFE89Rw+qdBZrQdXvKPLsj/RAT8/6f33dcUVV3i7LABAG0TYuYicTqdycnLc07m5uTIMw4sVtS2drVZ1NgzJ5dLevXtVWVmpnj17ymrlny0AoOn41biIcnJy9Ej6coVGd5EkFe7Jki0hyctVtR2u6modOFaufH9/vfTpLhnOb7UgVUpK4jsEADQdYeciC43uorDY7pKksqJDXq6m7fEPCJLV318douPlclZ5uxwAQBtE2EGLc7lqdOpYvs6UHJPT6RIn7gAA3kTYQYtwuWp0puSYrM4aFVWd1j3vv6ZOVZXa5qyWq32ot8sDAFzCCDtoEaeO5euhz95V54Bg7VSNYqyBirUGKN/FcR0AgHdxnx2cN8Pl0pmThSorOqQzJcdkuFySpM7+VsUHBMruH+jlCgEA+A+O7OC8VZSd0EOrlyghxKYDZSe1cEyaQsPCvV0WAAANIuygSQyXy301WUXZyR+O4gQG64yfvypKjuvU8Q5SKw5FPvseRtx/BwDQGH4d0KjagHOm5Jicx4s0Yf0yXWYN1ObiozICgiRJRTVOPbJmsU4GBsrldEpBF68el6tGubm5kn64QeNLK/eog72LyosOcf8dAECjCDuXgP+MsbHpTMkxhYZENGm5ipKjunfJi4r691VVMe1DFR8YrAN+/h79OvtbFegfKOni3gfn1LF8Pbtsv6Liyt03aKy9hxEAAI0h7FwCGhpj01Sx1kDZXS6fuaoqJOoyhcV297hBY90jPtIPp7gkyWq1eryXON0FAJci/uqbVGNjbKr8zbfL6x7xkX54LId/SLii4i73eF9WcEDTRiZ5PFC0KeGH8UEA0LbxF7uNqnsTP5erZ7322lNQsWeNsTGr2iM+0g+P5bB2iHIfAar7/tll29yhqKljfeo+44zxQQDQ9pgm7KSnp+ull15SQUGB+vfvr9dff13XXHONt8tqUXXH3pw6XqCHPvuL5GfVx/E9Guwfaw2sN8amxjBUUXJcZUWHdPpkkaxVTpWGhEoydKbkmPyrqlUaEuJTj3qoMQydOl5Qr77Ggt651A1FjWnoafUhnX5Y7uxTZs05ylN3/ZxmA4CLzxR/Vf/6179q6tSpWrBggYYMGaJXX31VKSkpysnJUXR0tLfLazF1x95srSiX3ZD8/APOax21V0913bRSm4uPqpOfv04GBqqTLIp2ubTNWa3OgUHu977wqIdCZ7XGL3m5Xn2HXS79LaSDR/DxO2vwdFPVDSB1r/SSPJ9WX/eU2dmnxZoaXOoeKWrqabazA9i51t/YdjV1GQAwG1P81XvllVf00EMP6f7775ckLViwQJ988on+/Oc/6w9/+IOXq6uvoVNQdcfY1B5xKetg83hfd+zNkeoqnX31k8el4uc4KlO7jgN+/or595VUdosU+++ByJ2tAe73vqJuTe73VVXuEJRvGPo4voc6RHdp8jobu5T97Cu9zn5afd1B0nVPi9UNLj92uis0usuPnmarG37ODmCNrb+ho1K1y50dpi40+JzrCFVLrB8AWkqb/0tUVVWlrKwsTZ8+3T3Pz89PycnJyszM9GJljat9jpT8/N2noM4eY9PJz19dbRH13p9r7M3Zl4q72odKgcGttVleURt81EAwqxsqy4ps7sda1Dr7UvYOcb3lZw2Uxd+/Xt/GNDZWqG6QOjsI5ObmyjAaDpJnr682/JwdwBo7nVb3qJEkj+Xqrq+pY4/ODk91t+XsgFgb9KSmj4dq6im9xo5Qnau+c12Vd/b6G9vexvq1NU09wtfS/dCwS+H787VtbPPf7rFjx1RTUyO73e4x3263a8+ePQ0uU1lZqcrKSvd0SUmJJKm0tLRFaysvL1fxoVw5K09LksoK8+RfVqKqkBCVOytlsfgrf0emTp8oUrVRo/LKCpXW1OiMs1qn/JwqrTxT732uy6nKspPaV3FaJ6srZXHV1FtHkLNKZ5zV2nvK0KmaGh2oqlC5n0WVZScbfF/srFappGIZOuCs1pma6kbfN7a+Yme1TlZX6rQs2me4mrW+s9dxPusrNAzl78jUyfBInfh+t/zah6r0wE4lf7JQUVarTlr89bfEIQqK6qyqkgJJcvcLCPDX6RNFKjmer19kfa6k6kotH36XAv/9X0ftfgvwczX6/ux+Rf/K1u+3nFFYdKxO5uXIL7iDwqJjJUkn83LU4bIeqqk68+Prax8mZ+Vp1VRXqvTId+62uus/U3xU/3XXTerevbu+//57Oasq3P/m6i5Xd33Oqgp9++23Ki8vP+e/4e+//17P//ULtQvv5K69dltqt6NdeIRqqiulOp/bnPXXXXfdbTq739nbe676Gnovqd76G9vexvq1NY19fxe7Hxp2KXx/Z2/j/05/QL17927xz6n93W7sfyDdjDbu8OHDhiRj/fr1HvOnTZtmXHPNNQ0uM2vWLEM/PNuAFy9evHjx4tXGXwcPHjxnVmjzR3aioqLk7++vwsJCj/mFhYWKiYlpcJnp06dr6tSp7mmXy6UTJ04oMjJSFoulReoqLS1VXFycDh48KJvN1iLrRPOxP3wH+8J3sC98B/uieQzDUFlZmWJjY8/Zr82HncDAQA0aNEgZGRkaPXq0pB/CS0ZGhtLSGr5TcFBQkIKCPMe+hIeHX5T6bDYb/3B9CPvDd7AvfAf7wnewL85fWFjYj/Zp82FHkqZOnaqJEydq8ODBuuaaa/Tqq6/q1KlT7quzAADApcsUYeeuu+7S0aNH9eSTT6qgoEADBgzQypUr6w1aBgAAlx5ThB1JSktLa/S0lTcEBQVp1qxZ9U6XwTvYH76DfeE72Be+g31xcVkM48eu1wIAAGi7/LxdAAAAwMVE2AEAAKZG2AEAAKZG2LlI0tPT1bVrVwUHB2vIkCHatGmTt0sylTlz5ujqq69Whw4dFB0drdGjR9d7plFFRYVSU1MVGRmp0NBQjR07tt7NJ/Py8jRq1Ci1b99e0dHRmjZtmvs5SmieuXPnymKxaPLkye557IvWdfjwYd1zzz2KjIxUu3bt1LdvX23ZssXdbhiGnnzySXXu3Fnt2rVTcnKy9u7d67GOEydOaPz48bLZbAoPD9eDDz74o4//gKeamhrNnDlT3bp1U7t27XT55ZfrmWee8Xi0AfuilbTAExtwliVLlhiBgYHGn//8Z2Pnzp3GQw89ZISHhxuFhYXeLs00UlJSjIULFxo7duwwsrOzjVtvvdWIj483ysvL3X0eeeQRIy4uzsjIyDC2bNliDB061Lj22mvd7U6n0+jTp4+RnJxsbN261VixYoURFRVlTJ8+3RubZAqbNm0yunbtavTr18947LHH3PPZF63nxIkTRkJCgnHfffcZGzduNL7//nvjs88+M3Jzc9195s6da4SFhRkfffSRsW3bNuNnP/uZ0a1bN+PMmTPuPrfccovRv39/Y8OGDcY///lP44orrjDGjRvnjU1qs5577jkjMjLSWL58ubFv3z5j6dKlRmhoqPHHP/7R3Yd90ToIOxfBNddcY6Smprqna2pqjNjYWGPOnDlerMrcioqKDEnGunXrDMMwjOLiYiMgIMBYunSpu8/u3bsNSUZmZqZhGIaxYsUKw8/PzygoKHD3mT9/vmGz2YzKysrW3QATKCsrM3r06GGsXr3auPHGG91hh33Ruh5//HHj+uuvb7Td5XIZMTExxksvveSeV1xcbAQFBRnvvfeeYRiGsWvXLkOSsXnzZnefTz/91LBYLMbhw4cvXvEmM2rUKOOBBx7wmDdmzBhj/PjxhmGwL1oTp7FaWFVVlbKyspScnOye5+fnp+TkZGVmZnqxMnOrfXJ9RESEJCkrK0vV1dUe+6FXr16Kj49374fMzEz17dvX4+aTKSkpKi0t1c6dO1uxenNITU3VqFGjPL5ziX3R2pYtW6bBgwfr5z//uaKjozVw4EC99dZb7vZ9+/apoKDAY3+EhYVpyJAhHvsjPDxcgwcPdvdJTk6Wn5+fNm7c2Hob08Zde+21ysjI0L/+9S9J0rZt2/TVV19p5MiRktgXrck0NxX0FceOHVNNTU29uzfb7Xbt2bPHS1WZm8vl0uTJk3XdddepT58+kqSCggIFBgbWe+aZ3W5XQUGBu09D+6m2DU23ZMkSffPNN9q8eXO9NvZF6/r+++81f/58TZ06Vf/1X/+lzZs36ze/+Y0CAwM1ceJE9/fZ0Pddd39ER0d7tFutVkVERLA/zsMf/vAHlZaWqlevXvL391dNTY2ee+45jR8/XpLYF62IsIM2LzU1VTt27NBXX33l7VIuSQcPHtRjjz2m1atXKzg42NvlXPJcLpcGDx6s559/XpI0cOBA7dixQwsWLNDEiRO9XN2l5W9/+5veffddLV68WElJScrOztbkyZMVGxvLvmhlnMZqYVFRUfL39693pUlhYaFiYmK8VJV5paWlafny5fr888/VpUsX9/yYmBhVVVWpuLjYo3/d/RATE9PgfqptQ9NkZWWpqKhIV111laxWq6xWq9atW6fXXntNVqtVdrudfdGKOnfurMTERI95vXv3Vl5enqT/fJ/n+hsVExOjoqIij3an06kTJ06wP87DtGnT9Ic//EF33323+vbtqwkTJmjKlCmaM2eOJPZFayLstLDAwEANGjRIGRkZ7nkul0sZGRlyOBxerMxcDMNQWlqaPvzwQ61du1bdunXzaB80aJACAgI89kNOTo7y8vLc+8HhcGj79u0ef0hWr14tm81W78cCjRs+fLi2b9+u7Oxs92vw4MEaP368+z37ovVcd9119W7D8K9//UsJCQmSpG7duikmJsZjf5SWlmrjxo0e+6O4uFhZWVnuPmvXrpXL5dKQIUNaYSvM4fTp0/Lz8/yZ9ff3l8vlksS+aFXeHiFtRkuWLDGCgoKMRYsWGbt27TIefvhhIzw83ONKE1yYRx991AgLCzO++OILIz8/3/06ffq0u88jjzxixMfHG2vXrjW2bNliOBwOw+FwuNtrL3ceMWKEkZ2dbaxcudLo1KkTlzu3gLpXYxkG+6I1bdq0ybBarcZzzz1n7N2713j33XeN9u3bG3/5y1/cfebOnWuEh4cb//jHP4xvv/3WuOOOOxq83HngwIHGxo0bja+++sro0aMHlzufp4kTJxqXXXaZ+9LzDz74wIiKijJ+//vfu/uwL1oHYecief311434+HgjMDDQuOaaa4wNGzZ4uyRTkdTga+HChe4+Z86cMX79618bHTt2NNq3b2/ceeedRn5+vsd69u/fb4wcOdJo166dERUVZfz2t781qqurW3lrzOfssMO+aF0ff/yx0adPHyMoKMjo1auX8eabb3q0u1wuY+bMmYbdbjeCgoKM4cOHGzk5OR59jh8/bowbN84IDQ01bDabcf/99xtlZWWtuRltXmlpqfHYY48Z8fHxRnBwsNG9e3fjiSee8LidAvuidfDUcwAAYGqM2QEAAKZG2AEAAKZG2AEAAKZG2AEAAKZG2AEAAKZG2AEAAKZG2AEAAKZG2AEAAKZG2AHQJPv375fFYlF2dra3S2nQm2++qbi4OPn5+enVV1+9oHV17dr1gtcBwHcQdoA25L777pPFYtHcuXM95n/00UeyWCxeqsr7SktLlZaWpscff1yHDx/Www8/7O2SLpqnnnpKAwYM8HYZQJtC2AHamODgYL3wwgs6efKkt0tpEVVVVRe8jry8PFVXV2vUqFHq3Lmz2rdv3wKVtayW2M6W5Gv1ABcTYQdoY5KTkxUTE6M5c+Y02N7Q//m/+uqr6tq1q3v6vvvu0+jRo/X888/LbrcrPDxcs2fPltPp1LRp0xQREaEuXbpo4cKF9da/Z88eXXvttQoODlafPn20bt06j/YdO3Zo5MiRCg0Nld1u14QJE3Ts2DF3+0033aS0tDRNnjxZUVFRSklJ+dFtzsvL0x133KHQ0FDZbDb94he/UGFhoSRp0aJF6tu3rySpe/fuslgs2r9//4+u8+OPP9bVV1+t4OBgRUVF6c477/RoP336tB544AF16NBB8fHxevPNNz3aH3/8cV155ZVq3769unfvrpkzZ6q6utrdXrsf/vd//1fdunVTcHCwJGnlypW6/vrrFR4ersjISN1222367rvvPNZ96NAhjRs3ThEREQoJCdHgwYO1ceNGLVq0SE8//bS2bdsmi8Uii8WiRYsWSZKKi4v1y1/+Up06dZLNZtOwYcO0bdu2H63n/fffV9++fdWuXTtFRkYqOTlZp06d+tHvD2hLCDtAG+Pv76/nn39er7/+ug4dOtTs9axdu1ZHjhzRl19+qVdeeUWzZs3Sbbfdpo4dO2rjxo165JFH9Ktf/areZ0ybNk2//e1vtXXrVjkcDt1+++06fvy4pB9+cIcNG6aBAwdqy5YtWrlypQoLC/WLX/zCYx3vvPOOAgMD9fXXX2vBggXnrNPlcumOO+7QiRMntG7dOq1evVrff/+97rrrLknSXXfdpTVr1kiSNm3apPz8fMXFxZ1znZ988onuvPNO3Xrrrdq6dasyMjJ0zTXXePR5+eWXNXjwYG3dulW//vWv9eijjyonJ8fd3qFDBy1atEi7du3SH//4R7311luaN2+exzpyc3P197//XR988IF7rNOpU6c0depUbdmyRRkZGfLz89Odd94pl8slSSovL9eNN96ow4cPa9myZdq2bZt+//vfy+Vy6a677tJvf/tbJSUlKT8/X/n5+e7v4ec//7mKior06aefKisrS1dddZWGDx+uEydONFpPfn6+xo0bpwceeEC7d+/WF198oTFjxojnQ8N0vPzUdQDnYeLEicYdd9xhGIZhDB061HjggQcMwzCMDz/80Kj9z3nWrFlG//79PZabN2+ekZCQ4LGehIQEo6amxj2vZ8+exk9+8hP3tNPpNEJCQoz33nvPMAzD2LdvnyHJmDt3rrtPdXW10aVLF+OFF14wDMMwnnnmGWPEiBEen33w4EFDkpGTk2MYhmHceOONxsCBA5u8zatWrTL8/f2NvLw897ydO3cakoxNmzYZhmEYW7duNSQZ+/bta9I6HQ6HMX78+EbbExISjHvuucc97XK5jOjoaGP+/PmNLvPSSy8ZgwYNck/PmjXLCAgIMIqKis5Zy9GjRw1Jxvbt2w3DMIw//elPRocOHYzjx4832L+h/fvPf/7TsNlsRkVFhcf8yy+/3PjTn/7UaD1ZWVmGJGP//v3nrBFo6ziyA7RRL7zwgt555x3t3r27WcsnJSXJz+8/fwLsdrv7dJD0wxGkyMhIFRUVeSzncDjc761WqwYPHuyuYdu2bfr8888VGhrqfvXq1UuSPE7VDBo0qMl17t69W3FxcR5HaxITExUeHt7sbc/Oztbw4cPP2adfv37u9xaLRTExMR7fxV//+lddd911iomJUWhoqGbMmKG8vDyPdSQkJKhTp04e8/bu3atx48ape/fustls7tOLtctmZ2dr4MCBioiIaPL2bNu2TeXl5YqMjPT47vft2+fxvZ9dT//+/TV8+HD17dtXP//5z/XWW2+ZZiwYUJfV2wUAaJ4bbrhBKSkpmj59uu677z73fD8/v3qnIeqOJakVEBDgMW2xWBqcV3t6pSnKy8t1++2364UXXqjX1rlzZ/f7kJCQJq/zYmjXrt2P9jnXd5GZmanx48fr6aefVkpKisLCwrRkyRK9/PLLHss0tJ233367EhIS9NZbbyk2NlYul0t9+vRxDxhuSm1nKy8vV+fOnfXFF1/UawsPD2+0Hn9/f61evVrr16/XqlWr9Prrr+uJJ57Qxo0b1a1bt/OuA/BVHNkB2rC5c+fq448/VmZmpntep06dVFBQ4BF4WvLeOBs2bHC/dzqdysrKUu/evSVJV111lXbu3KmuXbvqiiuu8Hg1N+D07t1bBw8e1MGDB93zdu3apeLiYiUmJjZrnf369VNGRkazlpWk9evXKyEhQU888YQGDx6sHj166MCBAz+63PHjx5WTk6MZM2Zo+PDh6t27d70jKf369VN2drbHWJu6AgMDVVNT4zHvqquuUkFBgaxWa73vPSoq6pw1WSwWXXfddXr66ae1detWBQYG6sMPP/zRbQHaEsIO0Ib17dtX48eP12uvveaed9NNN+no0aN68cUX9d133yk9PV2ffvppi31menq6PvzwQ+3Zs0epqak6efKkHnjgAUlSamqqTpw4oXHjxmnz5s367rvv9Nlnn+n++++v9wPdVMnJye7t/Oabb7Rp0ybde++9uvHGGzV48OBmrXPWrFl67733NGvWLO3evVvbt29v8GhUY3r06KG8vDwtWbJE3333nV577bUmBYSOHTsqMjJSb775pnJzc7V27VpNnTrVo8+4ceMUExOj0aNH6+uvv9b333+vv//97+5A27VrV+3bt0/Z2dk6duyYKisrlZycLIfDodGjR2vVqlXav3+/1q9fryeeeEJbtmxptJ6NGzfq+eef15YtW5SXl6cPPvhAR48edYdXwCwIO0AbN3v2bI9TTb1799Ybb7yh9PR09e/fX5s2bdLvfve7Fvu8uXPnau7cuerfv7+++uorLVu2zH30IDY2Vl9//bVqamo0YsQI9e3bV5MnT1Z4eLjH+KDzYbFY9I9//EMdO3bUDTfcoOTkZHXv3l1//etfm70NN910k5YuXaply5ZpwIABGjZsmDZt2tTk5X/2s59pypQpSktL04ABA7R+/XrNnDnzR5fz8/PTkiVLlJWVpT59+mjKlCl66aWXPPoEBgZq1apVio6O1q233qq+fftq7ty58vf3lySNHTtWt9xyi26++WZ16tRJ7733niwWi1asWKEbbrhB999/v6688krdfffdOnDggOx2e6P12Gw2ffnll7r11lt15ZVXasaMGXr55Zc1cuTIJn8XQFtgMc4+uQ8AAGAiHNkBAACmRtgB4FXvvvuux+XSdV9JSUnNWmdSUlKj63z33XdbeAsA+DpOYwHwqrKyMvejH84WEBCghISE817ngQMHGrzcXvrhfkIdOnQ473UCaLsIOwAAwNQ4jQUAAEyNsAMAAEyNsAMAAEyNsAMAAEyNsAMAAEyNsAMAAEyNsAMAAEyNsAMAAEzt/wfg1mvf7UADPAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting number of character of hams in histogram for simpler understanding\n",
    "sns.histplot(data_df[data_df[\"Target\"]==0][\"Number_of_characters\"])\n",
    "sns.histplot(data_df[data_df[\"Target\"]==1][\"Number_of_characters\"], color=\"red\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "2a32d790",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='Number_of_words', ylabel='Count'>"
      ]
     },
     "execution_count": 26,
     "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": [
    "# Plotting number of words of hams in histogram for simpler understanding\n",
    "sns.histplot(data_df[data_df[\"Target\"]==0][\"Number_of_words\"])\n",
    "sns.histplot(data_df[data_df[\"Target\"]==1][\"Number_of_words\"], color=\"red\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "1483b98c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x2a7e04b4dd0>"
      ]
     },
     "execution_count": 27,
     "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": [
    "# lets check relation between columns\n",
    "sns.pairplot(data_df, hue=\"Target\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a663c602",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Although, data is partially linear, There are specific outliers which are hindering our analysis which I will resolve further"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "67e17cc6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\vasup\\AppData\\Local\\Temp\\ipykernel_7328\\4268824876.py:2: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  sns.heatmap(data_df.corr(), annot=True)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: >"
      ]
     },
     "execution_count": 29,
     "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": [
    "# lets check corelation \n",
    "sns.heatmap(data_df.corr(), annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9a40e9d",
   "metadata": {},
   "source": [
    " ### Data Preprocessing <a name=\"5\"></a>\n",
    " <hr>\n",
    " \n",
    " - Lower case\n",
    " - Tokenization\n",
    " - Removing Special characters\n",
    " - Removing stop words and punctuations \n",
    " - stemming"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "33478f3e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# I am creating function to do all the above work consequitively \n",
    "\n",
    "def Text_transformation(text):\n",
    "    text = nltk.word_tokenize(text.lower())\n",
    "    text = list(x for x in text if x.isalnum())\n",
    "    text = list(x for x in text if x not in stopwords.words(\"english\") and x not in punctuation)\n",
    "    final_text = []\n",
    "    porter = PorterStemmer()\n",
    "    for i in text:\n",
    "        final_text.append(porter.stem(i))\n",
    "    return \" \".join(final_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "4f75098b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'hi vasu today'"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Text_transformation(\"hi VASU what are you doing today  !!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "604925ec",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\vasup\\AppData\\Local\\Temp\\ipykernel_7328\\741572995.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data_df[\"Text_transformation\"] = data_df[\"Text\"].apply(Text_transformation)\n"
     ]
    }
   ],
   "source": [
    "# Creating new column specifically for transformed text\n",
    "data_df[\"Text_transformation\"] = data_df[\"Text\"].apply(Text_transformation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "67615e7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Target</th>\n",
       "      <th>Text</th>\n",
       "      <th>Number_of_characters</th>\n",
       "      <th>Number_of_words</th>\n",
       "      <th>Number_of_sentences</th>\n",
       "      <th>Text_transformation</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",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5567</th>\n",
       "      <td>1</td>\n",
       "      <td>This is the 2nd time we have tried 2 contact u...</td>\n",
       "      <td>161</td>\n",
       "      <td>35</td>\n",
       "      <td>4</td>\n",
       "      <td>2nd time tri 2 contact u pound prize 2 claim e...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5568</th>\n",
       "      <td>0</td>\n",
       "      <td>Will Ì_ b going to esplanade fr home?</td>\n",
       "      <td>37</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>b go esplanad fr home</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5569</th>\n",
       "      <td>0</td>\n",
       "      <td>Pity, * was in mood for that. So...any other s...</td>\n",
       "      <td>57</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>piti mood suggest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5570</th>\n",
       "      <td>0</td>\n",
       "      <td>The guy did some bitching but I acted like i'd...</td>\n",
       "      <td>125</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>guy bitch act like interest buy someth els nex...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5571</th>\n",
       "      <td>0</td>\n",
       "      <td>Rofl. Its true to its name</td>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>rofl true name</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5169 rows × 6 columns</p>\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...   \n",
       "...      ...                                                ...   \n",
       "5567       1  This is the 2nd time we have tried 2 contact u...   \n",
       "5568       0              Will Ì_ b going to esplanade fr home?   \n",
       "5569       0  Pity, * was in mood for that. So...any other s...   \n",
       "5570       0  The guy did some bitching but I acted like i'd...   \n",
       "5571       0                         Rofl. Its true to its name   \n",
       "\n",
       "      Number_of_characters  Number_of_words  Number_of_sentences  \\\n",
       "0                      111               24                    2   \n",
       "1                       29                8                    2   \n",
       "2                      155               37                    2   \n",
       "3                       49               13                    1   \n",
       "4                       61               15                    1   \n",
       "...                    ...              ...                  ...   \n",
       "5567                   161               35                    4   \n",
       "5568                    37                9                    1   \n",
       "5569                    57               15                    2   \n",
       "5570                   125               27                    1   \n",
       "5571                    26                7                    2   \n",
       "\n",
       "                                    Text_transformation  \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  \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",
       "\n",
       "[5169 rows x 6 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "85f7da7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visulizing most words used in Target column\n",
    "\n",
    "WC = WordCloud(width=700,\n",
    "              height=700,\n",
    "              min_font_size=10,\n",
    "              background_color=\"white\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "a1de846f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2a7e31fd890>"
      ]
     },
     "execution_count": 35,
     "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": [
    "# Spam wordcloud\n",
    "spam_wc = WC.generate(data_df[data_df[\"Target\"]==1][\"Text_transformation\"].str.cat(sep=\" \"))\n",
    "plt.imshow(spam_wc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "d52ddd5a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2a7e3078410>"
      ]
     },
     "execution_count": 36,
     "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": [
    "# ham wordcloud\n",
    "ham_wc = WC.generate(data_df[data_df[\"Target\"]==0][\"Text_transformation\"].str.cat(sep=\" \"))\n",
    "plt.imshow(ham_wc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "6aba823b",
   "metadata": {},
   "outputs": [],
   "source": [
    "spam_corpus = []\n",
    "for msg in data_df[data_df[\"Target\"]==1][\"Text_transformation\"].tolist():\n",
    "    for word in msg.split():\n",
    "        spam_corpus.append(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "87fe65cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9939"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(spam_corpus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "f69cdbbe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting 30 prior words used in spam SMS\n",
    "sns.barplot(x=pd.DataFrame(Counter(spam_corpus).most_common(30))[0], \n",
    "           y=pd.DataFrame(Counter(spam_corpus).most_common(30))[1])\n",
    "plt.xticks(rotation=\"vertical\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "442d8bd0",
   "metadata": {},
   "outputs": [],
   "source": [
    "ham_corpus = []\n",
    "for msg in data_df[data_df[\"Target\"]==0][\"Text_transformation\"].tolist():\n",
    "    for word in msg.split():\n",
    "        ham_corpus.append(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "ae7271a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "35404"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ham_corpus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "07dd9ed9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting 30 prior words used in ham SMS\n",
    "sns.barplot(x=pd.DataFrame(Counter(ham_corpus).most_common(30))[0], \n",
    "           y=pd.DataFrame(Counter(ham_corpus).most_common(30))[1])\n",
    "plt.xticks(rotation=\"vertical\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d915d477",
   "metadata": {},
   "source": [
    "### Model Buiding<a name=\"6\"></a>\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "a0590626",
   "metadata": {},
   "outputs": [],
   "source": [
    "# At the starting point we will use naive algorithm, because It is a straightforward and easy-to-implement \n",
    "# algorithm that makes it popular among other algorithms, it is used to find all the matching occurrences \n",
    "# of specified text in the given string.\n",
    "\n",
    "# At the initial stage we will use countvectorizer\n",
    "\n",
    "CV = CountVectorizer()\n",
    "X = CV.fit_transform(data_df[\"Text_transformation\"]).toarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "ae924b7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5169, 6708)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "b4419301",
   "metadata": {},
   "outputs": [],
   "source": [
    "y = data_df[\"Target\"].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "f9fa2551",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating train test split for X and y\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,\n",
    "                                                    y,\n",
    "                                                    test_size=0.2,\n",
    "                                                    random_state=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "a8910555",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Implementing 3 Naive Bayes classifiers\n",
    "gnb, mnb, bnb = GaussianNB(), MultinomialNB(), BernoulliNB()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "3a0d851e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8800773694390716\n",
      "[[792 104]\n",
      " [ 20 118]]\n",
      "0.5315315315315315\n"
     ]
    }
   ],
   "source": [
    "gnb.fit(X_train, y_train)\n",
    "y_pred_gnb = gnb.predict(X_test)\n",
    "print(accuracy_score(y_test, y_pred_gnb))\n",
    "print(confusion_matrix(y_test, y_pred_gnb))\n",
    "print(precision_score(y_test, y_pred_gnb))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "3ecb2c90",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9642166344294004\n",
      "[[871  25]\n",
      " [ 12 126]]\n",
      "0.8344370860927153\n"
     ]
    }
   ],
   "source": [
    "mnb.fit(X_train, y_train)\n",
    "y_pred_mnb = mnb.predict(X_test)\n",
    "print(accuracy_score(y_test, y_pred_mnb))\n",
    "print(confusion_matrix(y_test, y_pred_mnb))\n",
    "print(precision_score(y_test, y_pred_mnb))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "9d531570",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9700193423597679\n",
      "[[893   3]\n",
      " [ 28 110]]\n",
      "0.9734513274336283\n"
     ]
    }
   ],
   "source": [
    "bnb.fit(X_train, y_train)\n",
    "y_pred_bnb = bnb.predict(X_test)\n",
    "print(accuracy_score(y_test, y_pred_bnb))\n",
    "print(confusion_matrix(y_test, y_pred_bnb))\n",
    "print(precision_score(y_test, y_pred_bnb))\n",
    "\n",
    "# Here BernoulliNB is performing good as compared to other classifiers, and also here precision score matters a lot because \n",
    "# of class inbalance in dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "1a5cdab4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now on the other stage we will use Tfidvectorizer\n",
    "tfidf =TfidfVectorizer(max_features=3000)\n",
    "X = tfidf.fit_transform(data_df[\"Text_transformation\"]).toarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "8115e232",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Scaling through min max sclaer because standard scaler also gives negative values and naive base \n",
    "# dont accept negative values\n",
    "\n",
    "# scaler = MinMaxScaler()\n",
    "# X = scaler.fit_transform(X) ------ Scaling fails in this dataset because reduces the precision and increasing the accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "d694ede2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5169, 3000)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "e23caead",
   "metadata": {},
   "outputs": [],
   "source": [
    "y = data_df[\"Target\"].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "dd997788",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating train test split for X and y of tfid\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,\n",
    "                                                    y,\n",
    "                                                    test_size=0.2,\n",
    "                                                    random_state=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "140a812d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# again Implementing 3 Naive Bayes classifiers\n",
    "gnb, mnb, bnb = GaussianNB(), MultinomialNB(), BernoulliNB()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "de137bca",
   "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_pred_gnb = gnb.predict(X_test)\n",
    "print(accuracy_score(y_test, y_pred_gnb))\n",
    "print(confusion_matrix(y_test, y_pred_gnb))\n",
    "print(precision_score(y_test, y_pred_gnb))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "d3441098",
   "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_pred_mnb = mnb.predict(X_test)\n",
    "print(accuracy_score(y_test, y_pred_mnb))\n",
    "print(confusion_matrix(y_test, y_pred_mnb))\n",
    "print(precision_score(y_test, y_pred_mnb))\n",
    "# Here MultinomialNB is performing excelent and showed precision score 1, as i had mention above that precision score\n",
    "# matters a lot in this model because of class inbalance rather than accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "de1cf36a",
   "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_pred_bnb = bnb.predict(X_test)\n",
    "print(accuracy_score(y_test, y_pred_bnb))\n",
    "print(confusion_matrix(y_test, y_pred_bnb))\n",
    "print(precision_score(y_test, y_pred_bnb))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "5dec1004",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Furthermore, I ll be working on tfidf. For the safer side I am also comparing with every possible classifiers in sklearn\n",
    "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": 61,
   "id": "cb718c05",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating dict for classifiers\n",
    "\n",
    "classifiers = {\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": 62,
   "id": "f45847f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# building training classifier \n",
    "\n",
    "def Train_classifier(classifier, X_train, y_train, X_test, y_test):\n",
    "    classifier.fit(X_train, y_train)\n",
    "    y_pred = classifier.predict(X_test)\n",
    "    accuracy = accuracy_score(y_test, y_pred)\n",
    "    precision = precision_score(y_test, y_pred)\n",
    "    return accuracy, precision"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "a10a0059",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classifier :  SVC\n",
      "Accuracy :  0.9758220502901354\n",
      "Precision :  0.9747899159663865\n",
      "Classifier :  KN\n",
      "Accuracy :  0.9052224371373307\n",
      "Precision :  1.0\n",
      "Classifier :  NB\n",
      "Accuracy :  0.9709864603481625\n",
      "Precision :  1.0\n",
      "Classifier :  DT\n",
      "Accuracy :  0.9294003868471954\n",
      "Precision :  0.8282828282828283\n",
      "Classifier :  LR\n",
      "Accuracy :  0.9584139264990329\n",
      "Precision :  0.9702970297029703\n",
      "Classifier :  RF\n",
      "Accuracy :  0.9758220502901354\n",
      "Precision :  0.9829059829059829\n",
      "Classifier :  AdaBoost\n",
      "Accuracy :  0.960348162475822\n",
      "Precision :  0.9292035398230089\n",
      "Classifier :  BgC\n",
      "Accuracy :  0.9584139264990329\n",
      "Precision :  0.8682170542635659\n",
      "Classifier :  ETC\n",
      "Accuracy :  0.9748549323017408\n",
      "Precision :  0.9745762711864406\n",
      "Classifier :  GBDT\n",
      "Accuracy :  0.9468085106382979\n",
      "Precision :  0.9191919191919192\n",
      "Classifier :  xgb\n",
      "Accuracy :  0.9671179883945842\n",
      "Precision :  0.9333333333333333\n"
     ]
    }
   ],
   "source": [
    "# creating loop for every classifies and checking out accuracy and precision\n",
    "accuracy_scores = []\n",
    "precision_scores = []\n",
    "\n",
    "for name, classifier in classifiers.items():\n",
    "    current_accuracy, current_precision = Train_classifier(classifier, X_train, y_train, X_test, y_test)\n",
    "    print(\"Classifier : \",name)\n",
    "    print(\"Accuracy : \", current_accuracy)\n",
    "    print(\"Precision : \",current_precision)\n",
    "    \n",
    "    accuracy_scores.append(current_accuracy)\n",
    "    precision_scores.append(current_precision)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "010e9dd0",
   "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>Algorithms</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>0.975822</td>\n",
       "      <td>0.982906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SVC</td>\n",
       "      <td>0.975822</td>\n",
       "      <td>0.974790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ETC</td>\n",
       "      <td>0.974855</td>\n",
       "      <td>0.974576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LR</td>\n",
       "      <td>0.958414</td>\n",
       "      <td>0.970297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>xgb</td>\n",
       "      <td>0.967118</td>\n",
       "      <td>0.933333</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>0.946809</td>\n",
       "      <td>0.919192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>BgC</td>\n",
       "      <td>0.958414</td>\n",
       "      <td>0.868217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DT</td>\n",
       "      <td>0.929400</td>\n",
       "      <td>0.828283</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Algorithms  Accuracy  Precision\n",
       "1          KN  0.905222   1.000000\n",
       "2          NB  0.970986   1.000000\n",
       "5          RF  0.975822   0.982906\n",
       "0         SVC  0.975822   0.974790\n",
       "8         ETC  0.974855   0.974576\n",
       "4          LR  0.958414   0.970297\n",
       "10        xgb  0.967118   0.933333\n",
       "6    AdaBoost  0.960348   0.929204\n",
       "9        GBDT  0.946809   0.919192\n",
       "7         BgC  0.958414   0.868217\n",
       "3          DT  0.929400   0.828283"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "performance_df = pd.DataFrame({\"Algorithms\":classifiers.keys(), \n",
    "                               \"Accuracy\":accuracy_scores,\n",
    "                              \"Precision\":precision_scores}).sort_values(\"Precision\", ascending=False)\n",
    "performance_df\n",
    "# As I can see that both NB and Rf are performing well in terms of precision fruther we ll \n",
    "# select one algo for final deployment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "4285dcda",
   "metadata": {},
   "outputs": [],
   "source": [
    "# lets tune Nb algorithm by applying hyperparamerter of max_features_3000 in the above \n",
    "# block of code and see the outcome and differences after tuning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "230a0864",
   "metadata": {},
   "outputs": [],
   "source": [
    "# temp_df = pd.DataFrame({\"Algorithms\":classifiers.keys(), \n",
    "#                                \"Accuracy_max_ft_3000\":accuracy_scores,\n",
    "#                               \"Precision_max_ft_3000\":precision_scores}).sort_values(\"Precision_max_ft_3000\", ascending=False)\n",
    "# new_df = performance_df.merge(temp_df, on=\"Algorithms\")\n",
    "# new_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "d6a38fc5",
   "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>Accuracy</th>\n",
       "      <th>Precision</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.970986</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Accuracy  Precision\n",
       "2  0.970986        1.0"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# scaling MinMax on tfidf failed the task as it reduces the precision and increasing the accuracy, which is not optimum \n",
    "# in the model because od class inbalance\n",
    "\n",
    "# so we will be focusing on NB with precision with max_features of 3000\n",
    "pd.DataFrame(performance_df[[\"Accuracy\", \"Precision\"]].iloc[1:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "6f3fe044",
   "metadata": {},
   "outputs": [],
   "source": [
    "# lastly, lets try stacking classifier \n",
    "\n",
    "# Stacking Classifier\n",
    "\n",
    "scv = SVC(kernel=\"sigmoid\", gamma=1.0, probability=True)\n",
    "mnb = MultinomialNB()\n",
    "etc = ExtraTreesClassifier(n_estimators=50, random_state=2)\n",
    "\n",
    "estimators=[(\"svm\", svc), (\"nb\", mnb), (\"et\", etc)]\n",
    "final_estimator = RandomForestClassifier()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "f5ddda34",
   "metadata": {},
   "outputs": [],
   "source": [
    "clf = StackingClassifier(estimators=estimators, final_estimator=final_estimator)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "d26060c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuuracy 0.9787234042553191\n",
      "Precision 0.9393939393939394\n"
     ]
    }
   ],
   "source": [
    "clf.fit(X_train, y_train)\n",
    "y_pred = clf.predict(X_test)\n",
    "print(\"Accuuracy\", accuracy_score(y_test, y_pred))\n",
    "print(\"Precision\", precision_score(y_test, y_pred))\n",
    "# well stacking is also not working efficiently, I must stick to nb with max_feature=3000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "8fc1706f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Final step before deploying "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "f10925ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "# pickle.dump(tfidf, open(\"vectorizer.pkl\", \"wb\"))\n",
    "# pickle.dump(mnb, open(\"model.pkl\", \"wb\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbfd2942",
   "metadata": {},
   "source": [
    "### Model<a name=\"7\"></a>\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "e89b1398",
   "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_pred_mnb = mnb.predict(X_test)\n",
    "print(accuracy_score(y_test, y_pred_mnb))\n",
    "print(confusion_matrix(y_test, y_pred_mnb))\n",
    "print(precision_score(y_test, y_pred_mnb))"
   ]
  }
 ],
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