Data_preprocessing_and_EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Microsoft : Classifying Cybersecurity Incidents with Machine Learning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing necessary libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.preprocessing import StandardScaler, LabelEncoder"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Importing the train data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "traindata = pd.read_csv('new_train_sample.csv')\n",
    "traindata=traindata.drop(columns=['Unnamed: 0'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>OrgId</th>\n",
       "      <th>IncidentId</th>\n",
       "      <th>AlertId</th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>DetectorId</th>\n",
       "      <th>AlertTitle</th>\n",
       "      <th>Category</th>\n",
       "      <th>MitreTechniques</th>\n",
       "      <th>IncidentGrade</th>\n",
       "      <th>ActionGrouped</th>\n",
       "      <th>ActionGranular</th>\n",
       "      <th>EntityType</th>\n",
       "      <th>EvidenceRole</th>\n",
       "      <th>DeviceId</th>\n",
       "      <th>Sha256</th>\n",
       "      <th>IpAddress</th>\n",
       "      <th>Url</th>\n",
       "      <th>AccountSid</th>\n",
       "      <th>AccountUpn</th>\n",
       "      <th>AccountObjectId</th>\n",
       "      <th>AccountName</th>\n",
       "      <th>DeviceName</th>\n",
       "      <th>NetworkMessageId</th>\n",
       "      <th>EmailClusterId</th>\n",
       "      <th>RegistryKey</th>\n",
       "      <th>RegistryValueName</th>\n",
       "      <th>RegistryValueData</th>\n",
       "      <th>ApplicationId</th>\n",
       "      <th>ApplicationName</th>\n",
       "      <th>OAuthApplicationId</th>\n",
       "      <th>ThreatFamily</th>\n",
       "      <th>FileName</th>\n",
       "      <th>FolderPath</th>\n",
       "      <th>ResourceIdName</th>\n",
       "      <th>ResourceType</th>\n",
       "      <th>Roles</th>\n",
       "      <th>OSFamily</th>\n",
       "      <th>OSVersion</th>\n",
       "      <th>AntispamDirection</th>\n",
       "      <th>SuspicionLevel</th>\n",
       "      <th>LastVerdict</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>State</th>\n",
       "      <th>City</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1709396985476</td>\n",
       "      <td>26</td>\n",
       "      <td>18583</td>\n",
       "      <td>687462</td>\n",
       "      <td>2024-06-06T05:56:47.000Z</td>\n",
       "      <td>31</td>\n",
       "      <td>813</td>\n",
       "      <td>Malware</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>File</td>\n",
       "      <td>Related</td>\n",
       "      <td>98799</td>\n",
       "      <td>1296</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>Casdet</td>\n",
       "      <td>4132</td>\n",
       "      <td>4227</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>Malicious</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>927712939180</td>\n",
       "      <td>33</td>\n",
       "      <td>5065</td>\n",
       "      <td>3990</td>\n",
       "      <td>2024-06-03T10:45:09.000Z</td>\n",
       "      <td>38</td>\n",
       "      <td>25</td>\n",
       "      <td>Impact</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Machine</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>3142</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>289573</td>\n",
       "      <td>117668</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1090921697002</td>\n",
       "      <td>201</td>\n",
       "      <td>150787</td>\n",
       "      <td>807590</td>\n",
       "      <td>2024-06-13T03:36:40.000Z</td>\n",
       "      <td>419</td>\n",
       "      <td>444</td>\n",
       "      <td>Execution</td>\n",
       "      <td>T1047;T1059;T1053;T1569;T1059.001;T1053.002;T1...</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Machine</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>4181</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>289573</td>\n",
       "      <td>117668</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Destination</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1434519079555</td>\n",
       "      <td>204</td>\n",
       "      <td>108287</td>\n",
       "      <td>28575</td>\n",
       "      <td>2024-06-08T16:54:57.000Z</td>\n",
       "      <td>44</td>\n",
       "      <td>1233</td>\n",
       "      <td>SuspiciousActivity</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TruePositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>File</td>\n",
       "      <td>Related</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>97007</td>\n",
       "      <td>9177</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1005022347708</td>\n",
       "      <td>54</td>\n",
       "      <td>528202</td>\n",
       "      <td>1458226</td>\n",
       "      <td>2024-06-09T02:48:01.000Z</td>\n",
       "      <td>102</td>\n",
       "      <td>58829</td>\n",
       "      <td>Exfiltration</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>File</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39978</td>\n",
       "      <td>114449</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Id  OrgId  IncidentId  AlertId                 Timestamp  \\\n",
       "0  1709396985476     26       18583   687462  2024-06-06T05:56:47.000Z   \n",
       "1   927712939180     33        5065     3990  2024-06-03T10:45:09.000Z   \n",
       "2  1090921697002    201      150787   807590  2024-06-13T03:36:40.000Z   \n",
       "3  1434519079555    204      108287    28575  2024-06-08T16:54:57.000Z   \n",
       "4  1005022347708     54      528202  1458226  2024-06-09T02:48:01.000Z   \n",
       "\n",
       "   DetectorId  AlertTitle            Category  \\\n",
       "0          31         813             Malware   \n",
       "1          38          25              Impact   \n",
       "2         419         444           Execution   \n",
       "3          44        1233  SuspiciousActivity   \n",
       "4         102       58829        Exfiltration   \n",
       "\n",
       "                                     MitreTechniques   IncidentGrade  \\\n",
       "0                                                NaN  BenignPositive   \n",
       "1                                                NaN  BenignPositive   \n",
       "2  T1047;T1059;T1053;T1569;T1059.001;T1053.002;T1...  BenignPositive   \n",
       "3                                                NaN    TruePositive   \n",
       "4                                                NaN  BenignPositive   \n",
       "\n",
       "  ActionGrouped ActionGranular EntityType EvidenceRole  DeviceId  Sha256  \\\n",
       "0           NaN            NaN       File      Related     98799    1296   \n",
       "1           NaN            NaN    Machine     Impacted     98799  138268   \n",
       "2           NaN            NaN    Machine     Impacted     98799  138268   \n",
       "3           NaN            NaN       File      Related     98799  138268   \n",
       "4           NaN            NaN       File     Impacted     98799  138268   \n",
       "\n",
       "   IpAddress     Url  AccountSid  AccountUpn  AccountObjectId  AccountName  \\\n",
       "0     360606  160396      441377      673934           425863       453297   \n",
       "1     360606  160396      441377      673934           425863       453297   \n",
       "2     360606  160396      441377      673934           425863       453297   \n",
       "3     360606  160396      441377      673934           425863       453297   \n",
       "4     360606  160396      441377      673934           425863       453297   \n",
       "\n",
       "   DeviceName  NetworkMessageId  EmailClusterId  RegistryKey  \\\n",
       "0      153085            529644             NaN         1631   \n",
       "1        3142            529644             NaN         1631   \n",
       "2        4181            529644             NaN         1631   \n",
       "3      153085            529644             NaN         1631   \n",
       "4      153085            529644             NaN         1631   \n",
       "\n",
       "   RegistryValueName  RegistryValueData  ApplicationId  ApplicationName  \\\n",
       "0                635                860           2251             3421   \n",
       "1                635                860           2251             3421   \n",
       "2                635                860           2251             3421   \n",
       "3                635                860           2251             3421   \n",
       "4                635                860           2251             3421   \n",
       "\n",
       "   OAuthApplicationId ThreatFamily  FileName  FolderPath  ResourceIdName  \\\n",
       "0                 881       Casdet      4132        4227            3586   \n",
       "1                 881          NaN    289573      117668            3586   \n",
       "2                 881          NaN    289573      117668            3586   \n",
       "3                 881          NaN     97007        9177            3586   \n",
       "4                 881          NaN     39978      114449            3586   \n",
       "\n",
       "  ResourceType        Roles  OSFamily  OSVersion AntispamDirection  \\\n",
       "0          NaN          NaN         5         66               NaN   \n",
       "1          NaN          NaN         5         66               NaN   \n",
       "2          NaN  Destination         5         66               NaN   \n",
       "3          NaN          NaN         5         66               NaN   \n",
       "4          NaN          NaN         5         66               NaN   \n",
       "\n",
       "  SuspicionLevel LastVerdict  CountryCode  State   City  \n",
       "0     Suspicious   Malicious          242   1445  10630  \n",
       "1            NaN         NaN          242   1445  10630  \n",
       "2            NaN         NaN          242   1445  10630  \n",
       "3     Suspicious  Suspicious          242   1445  10630  \n",
       "4            NaN         NaN          242   1445  10630  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#displaying maximum columns and first five rows\n",
    "pd.set_option('display.max_columns', None)\n",
    "traindata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4758418, 45)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traindata.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4758418 entries, 0 to 4758417\n",
      "Data columns (total 45 columns):\n",
      " #   Column              Dtype  \n",
      "---  ------              -----  \n",
      " 0   Id                  int64  \n",
      " 1   OrgId               int64  \n",
      " 2   IncidentId          int64  \n",
      " 3   AlertId             int64  \n",
      " 4   Timestamp           object \n",
      " 5   DetectorId          int64  \n",
      " 6   AlertTitle          int64  \n",
      " 7   Category            object \n",
      " 8   MitreTechniques     object \n",
      " 9   IncidentGrade       object \n",
      " 10  ActionGrouped       object \n",
      " 11  ActionGranular      object \n",
      " 12  EntityType          object \n",
      " 13  EvidenceRole        object \n",
      " 14  DeviceId            int64  \n",
      " 15  Sha256              int64  \n",
      " 16  IpAddress           int64  \n",
      " 17  Url                 int64  \n",
      " 18  AccountSid          int64  \n",
      " 19  AccountUpn          int64  \n",
      " 20  AccountObjectId     int64  \n",
      " 21  AccountName         int64  \n",
      " 22  DeviceName          int64  \n",
      " 23  NetworkMessageId    int64  \n",
      " 24  EmailClusterId      float64\n",
      " 25  RegistryKey         int64  \n",
      " 26  RegistryValueName   int64  \n",
      " 27  RegistryValueData   int64  \n",
      " 28  ApplicationId       int64  \n",
      " 29  ApplicationName     int64  \n",
      " 30  OAuthApplicationId  int64  \n",
      " 31  ThreatFamily        object \n",
      " 32  FileName            int64  \n",
      " 33  FolderPath          int64  \n",
      " 34  ResourceIdName      int64  \n",
      " 35  ResourceType        object \n",
      " 36  Roles               object \n",
      " 37  OSFamily            int64  \n",
      " 38  OSVersion           int64  \n",
      " 39  AntispamDirection   object \n",
      " 40  SuspicionLevel      object \n",
      " 41  LastVerdict         object \n",
      " 42  CountryCode         int64  \n",
      " 43  State               int64  \n",
      " 44  City                int64  \n",
      "dtypes: float64(1), int64(30), object(14)\n",
      "memory usage: 1.6+ GB\n"
     ]
    }
   ],
   "source": [
    "traindata.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                    Null Count  Null Percentage\n",
      "Id                           0         0.000000\n",
      "OrgId                        0         0.000000\n",
      "IncidentId                   0         0.000000\n",
      "AlertId                      0         0.000000\n",
      "Timestamp                    0         0.000000\n",
      "DetectorId                   0         0.000000\n",
      "AlertTitle                   0         0.000000\n",
      "Category                     0         0.000000\n",
      "MitreTechniques        2733136        57.437913\n",
      "IncidentGrade            25775         0.541672\n",
      "ActionGrouped          4730205        99.407093\n",
      "ActionGranular         4730205        99.407093\n",
      "EntityType                   0         0.000000\n",
      "EvidenceRole                 0         0.000000\n",
      "DeviceId                     0         0.000000\n",
      "Sha256                       0         0.000000\n",
      "IpAddress                    0         0.000000\n",
      "Url                          0         0.000000\n",
      "AccountSid                   0         0.000000\n",
      "AccountUpn                   0         0.000000\n",
      "AccountObjectId              0         0.000000\n",
      "AccountName                  0         0.000000\n",
      "DeviceName                   0         0.000000\n",
      "NetworkMessageId             0         0.000000\n",
      "EmailClusterId         4710241        98.987542\n",
      "RegistryKey                  0         0.000000\n",
      "RegistryValueName            0         0.000000\n",
      "RegistryValueData            0         0.000000\n",
      "ApplicationId                0         0.000000\n",
      "ApplicationName              0         0.000000\n",
      "OAuthApplicationId           0         0.000000\n",
      "ThreatFamily           4721038        99.214445\n",
      "FileName                     0         0.000000\n",
      "FolderPath                   0         0.000000\n",
      "ResourceIdName               0         0.000000\n",
      "ResourceType           4754863        99.925290\n",
      "Roles                  4649117        97.702997\n",
      "OSFamily                     0         0.000000\n",
      "OSVersion                    0         0.000000\n",
      "AntispamDirection      4669846        98.138625\n",
      "SuspicionLevel         4037145        84.842168\n",
      "LastVerdict            3642221        76.542687\n",
      "CountryCode                  0         0.000000\n",
      "State                        0         0.000000\n",
      "City                         0         0.000000\n"
     ]
    }
   ],
   "source": [
    "null_summary = pd.DataFrame({\n",
    "    'Null Count': traindata.isna().sum(),\n",
    "    'Null Percentage': (traindata.isna().sum() / len(traindata)) * 100\n",
    "})\n",
    "\n",
    "print(null_summary)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### deleting columns  which contain null values more than 50%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "threshold= len(traindata)* 0.5   # removing 50% above null value\n",
    "traindata = traindata.dropna(thresh=threshold,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution of target variable\n",
    "sns.countplot(x=\"IncidentGrade\", data=traindata)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    IncidentGrade  Percentage    Count\n",
      "0  BenignPositive   43.417050  2054774\n",
      "1    TruePositive   35.119636  1662087\n",
      "2   FalsePositive   21.463313  1015782\n"
     ]
    }
   ],
   "source": [
    "# Count and percentage calculation for each unique value in 'IncidentGrade'\n",
    "incident_grade_summary = traindata['IncidentGrade'].value_counts(normalize=True).mul(100).to_frame(name='Percentage')\n",
    "incident_grade_summary['Count'] = traindata['IncidentGrade'].value_counts()\n",
    "\n",
    "# Reset index to have 'IncidentGrade' as a column\n",
    "incident_grade_summary = incident_grade_summary.reset_index().rename(columns={'index': 'IncidentGrade'})\n",
    "print(incident_grade_summary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dropping rows with null values in the 'IncidentGrade' column\n",
    "traindata = traindata.dropna(subset=['IncidentGrade'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of duplicate rows: 155243\n"
     ]
    }
   ],
   "source": [
    "# Check for any duplicate rows\n",
    "duplicates = traindata[traindata.duplicated()]\n",
    "\n",
    "# Display duplicate rows, if any\n",
    "print(f\"Number of duplicate rows: {len(duplicates)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "traindata.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4577400, 35)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traindata.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                    0\n",
       "OrgId                 0\n",
       "IncidentId            0\n",
       "AlertId               0\n",
       "Timestamp             0\n",
       "DetectorId            0\n",
       "AlertTitle            0\n",
       "Category              0\n",
       "IncidentGrade         0\n",
       "EntityType            0\n",
       "EvidenceRole          0\n",
       "DeviceId              0\n",
       "Sha256                0\n",
       "IpAddress             0\n",
       "Url                   0\n",
       "AccountSid            0\n",
       "AccountUpn            0\n",
       "AccountObjectId       0\n",
       "AccountName           0\n",
       "DeviceName            0\n",
       "NetworkMessageId      0\n",
       "RegistryKey           0\n",
       "RegistryValueName     0\n",
       "RegistryValueData     0\n",
       "ApplicationId         0\n",
       "ApplicationName       0\n",
       "OAuthApplicationId    0\n",
       "FileName              0\n",
       "FolderPath            0\n",
       "ResourceIdName        0\n",
       "OSFamily              0\n",
       "OSVersion             0\n",
       "CountryCode           0\n",
       "State                 0\n",
       "City                  0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traindata.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .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>Id</th>\n",
       "      <th>OrgId</th>\n",
       "      <th>IncidentId</th>\n",
       "      <th>AlertId</th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>DetectorId</th>\n",
       "      <th>AlertTitle</th>\n",
       "      <th>Category</th>\n",
       "      <th>IncidentGrade</th>\n",
       "      <th>EntityType</th>\n",
       "      <th>EvidenceRole</th>\n",
       "      <th>DeviceId</th>\n",
       "      <th>Sha256</th>\n",
       "      <th>IpAddress</th>\n",
       "      <th>Url</th>\n",
       "      <th>AccountSid</th>\n",
       "      <th>AccountUpn</th>\n",
       "      <th>AccountObjectId</th>\n",
       "      <th>AccountName</th>\n",
       "      <th>DeviceName</th>\n",
       "      <th>NetworkMessageId</th>\n",
       "      <th>RegistryKey</th>\n",
       "      <th>RegistryValueName</th>\n",
       "      <th>RegistryValueData</th>\n",
       "      <th>ApplicationId</th>\n",
       "      <th>ApplicationName</th>\n",
       "      <th>OAuthApplicationId</th>\n",
       "      <th>FileName</th>\n",
       "      <th>FolderPath</th>\n",
       "      <th>ResourceIdName</th>\n",
       "      <th>OSFamily</th>\n",
       "      <th>OSVersion</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>State</th>\n",
       "      <th>City</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1709396985476</td>\n",
       "      <td>26</td>\n",
       "      <td>18583</td>\n",
       "      <td>687462</td>\n",
       "      <td>2024-06-06T05:56:47.000Z</td>\n",
       "      <td>31</td>\n",
       "      <td>813</td>\n",
       "      <td>Malware</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>File</td>\n",
       "      <td>Related</td>\n",
       "      <td>98799</td>\n",
       "      <td>1296</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>4132</td>\n",
       "      <td>4227</td>\n",
       "      <td>3586</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>927712939180</td>\n",
       "      <td>33</td>\n",
       "      <td>5065</td>\n",
       "      <td>3990</td>\n",
       "      <td>2024-06-03T10:45:09.000Z</td>\n",
       "      <td>38</td>\n",
       "      <td>25</td>\n",
       "      <td>Impact</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>Machine</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>3142</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>289573</td>\n",
       "      <td>117668</td>\n",
       "      <td>3586</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1090921697002</td>\n",
       "      <td>201</td>\n",
       "      <td>150787</td>\n",
       "      <td>807590</td>\n",
       "      <td>2024-06-13T03:36:40.000Z</td>\n",
       "      <td>419</td>\n",
       "      <td>444</td>\n",
       "      <td>Execution</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>Machine</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>4181</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>289573</td>\n",
       "      <td>117668</td>\n",
       "      <td>3586</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1434519079555</td>\n",
       "      <td>204</td>\n",
       "      <td>108287</td>\n",
       "      <td>28575</td>\n",
       "      <td>2024-06-08T16:54:57.000Z</td>\n",
       "      <td>44</td>\n",
       "      <td>1233</td>\n",
       "      <td>SuspiciousActivity</td>\n",
       "      <td>TruePositive</td>\n",
       "      <td>File</td>\n",
       "      <td>Related</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>97007</td>\n",
       "      <td>9177</td>\n",
       "      <td>3586</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1005022347708</td>\n",
       "      <td>54</td>\n",
       "      <td>528202</td>\n",
       "      <td>1458226</td>\n",
       "      <td>2024-06-09T02:48:01.000Z</td>\n",
       "      <td>102</td>\n",
       "      <td>58829</td>\n",
       "      <td>Exfiltration</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>File</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>39978</td>\n",
       "      <td>114449</td>\n",
       "      <td>3586</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Id  OrgId  IncidentId  AlertId                 Timestamp  \\\n",
       "0  1709396985476     26       18583   687462  2024-06-06T05:56:47.000Z   \n",
       "1   927712939180     33        5065     3990  2024-06-03T10:45:09.000Z   \n",
       "2  1090921697002    201      150787   807590  2024-06-13T03:36:40.000Z   \n",
       "3  1434519079555    204      108287    28575  2024-06-08T16:54:57.000Z   \n",
       "4  1005022347708     54      528202  1458226  2024-06-09T02:48:01.000Z   \n",
       "\n",
       "   DetectorId  AlertTitle            Category   IncidentGrade EntityType  \\\n",
       "0          31         813             Malware  BenignPositive       File   \n",
       "1          38          25              Impact  BenignPositive    Machine   \n",
       "2         419         444           Execution  BenignPositive    Machine   \n",
       "3          44        1233  SuspiciousActivity    TruePositive       File   \n",
       "4         102       58829        Exfiltration  BenignPositive       File   \n",
       "\n",
       "  EvidenceRole  DeviceId  Sha256  IpAddress     Url  AccountSid  AccountUpn  \\\n",
       "0      Related     98799    1296     360606  160396      441377      673934   \n",
       "1     Impacted     98799  138268     360606  160396      441377      673934   \n",
       "2     Impacted     98799  138268     360606  160396      441377      673934   \n",
       "3      Related     98799  138268     360606  160396      441377      673934   \n",
       "4     Impacted     98799  138268     360606  160396      441377      673934   \n",
       "\n",
       "   AccountObjectId  AccountName  DeviceName  NetworkMessageId  RegistryKey  \\\n",
       "0           425863       453297      153085            529644         1631   \n",
       "1           425863       453297        3142            529644         1631   \n",
       "2           425863       453297        4181            529644         1631   \n",
       "3           425863       453297      153085            529644         1631   \n",
       "4           425863       453297      153085            529644         1631   \n",
       "\n",
       "   RegistryValueName  RegistryValueData  ApplicationId  ApplicationName  \\\n",
       "0                635                860           2251             3421   \n",
       "1                635                860           2251             3421   \n",
       "2                635                860           2251             3421   \n",
       "3                635                860           2251             3421   \n",
       "4                635                860           2251             3421   \n",
       "\n",
       "   OAuthApplicationId  FileName  FolderPath  ResourceIdName  OSFamily  \\\n",
       "0                 881      4132        4227            3586         5   \n",
       "1                 881    289573      117668            3586         5   \n",
       "2                 881    289573      117668            3586         5   \n",
       "3                 881     97007        9177            3586         5   \n",
       "4                 881     39978      114449            3586         5   \n",
       "\n",
       "   OSVersion  CountryCode  State   City  \n",
       "0         66          242   1445  10630  \n",
       "1         66          242   1445  10630  \n",
       "2         66          242   1445  10630  \n",
       "3         66          242   1445  10630  \n",
       "4         66          242   1445  10630  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traindata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>OrgId</th>\n",
       "      <th>IncidentId</th>\n",
       "      <th>AlertId</th>\n",
       "      <th>DetectorId</th>\n",
       "      <th>AlertTitle</th>\n",
       "      <th>DeviceId</th>\n",
       "      <th>Sha256</th>\n",
       "      <th>IpAddress</th>\n",
       "      <th>Url</th>\n",
       "      <th>AccountSid</th>\n",
       "      <th>AccountUpn</th>\n",
       "      <th>AccountObjectId</th>\n",
       "      <th>AccountName</th>\n",
       "      <th>DeviceName</th>\n",
       "      <th>NetworkMessageId</th>\n",
       "      <th>RegistryKey</th>\n",
       "      <th>RegistryValueName</th>\n",
       "      <th>RegistryValueData</th>\n",
       "      <th>ApplicationId</th>\n",
       "      <th>ApplicationName</th>\n",
       "      <th>OAuthApplicationId</th>\n",
       "      <th>FileName</th>\n",
       "      <th>FolderPath</th>\n",
       "      <th>ResourceIdName</th>\n",
       "      <th>OSFamily</th>\n",
       "      <th>OSVersion</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>State</th>\n",
       "      <th>City</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "      <td>4.577400e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8.419716e+11</td>\n",
       "      <td>1.730889e+02</td>\n",
       "      <td>6.973234e+04</td>\n",
       "      <td>4.110693e+05</td>\n",
       "      <td>1.096099e+02</td>\n",
       "      <td>2.862698e+03</td>\n",
       "      <td>9.556584e+04</td>\n",
       "      <td>1.283791e+05</td>\n",
       "      <td>2.829348e+05</td>\n",
       "      <td>1.506187e+05</td>\n",
       "      <td>3.544669e+05</td>\n",
       "      <td>4.717130e+05</td>\n",
       "      <td>3.429710e+05</td>\n",
       "      <td>3.588808e+05</td>\n",
       "      <td>1.428748e+05</td>\n",
       "      <td>4.829440e+05</td>\n",
       "      <td>1.628050e+03</td>\n",
       "      <td>6.347218e+02</td>\n",
       "      <td>8.595315e+02</td>\n",
       "      <td>2.198992e+03</td>\n",
       "      <td>3.339762e+03</td>\n",
       "      <td>8.807908e+02</td>\n",
       "      <td>2.612549e+05</td>\n",
       "      <td>1.072358e+05</td>\n",
       "      <td>3.583357e+03</td>\n",
       "      <td>4.895628e+00</td>\n",
       "      <td>6.461704e+01</td>\n",
       "      <td>2.230627e+02</td>\n",
       "      <td>1.348427e+03</td>\n",
       "      <td>9.913553e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.965472e+11</td>\n",
       "      <td>3.731760e+02</td>\n",
       "      <td>1.203110e+05</td>\n",
       "      <td>4.605476e+05</td>\n",
       "      <td>4.252050e+02</td>\n",
       "      <td>1.106618e+04</td>\n",
       "      <td>1.659709e+04</td>\n",
       "      <td>3.454983e+04</td>\n",
       "      <td>1.430936e+05</td>\n",
       "      <td>3.711049e+04</td>\n",
       "      <td>1.651846e+05</td>\n",
       "      <td>2.874341e+05</td>\n",
       "      <td>1.586342e+05</td>\n",
       "      <td>1.732754e+05</td>\n",
       "      <td>3.666529e+04</td>\n",
       "      <td>1.381830e+05</td>\n",
       "      <td>6.814881e+01</td>\n",
       "      <td>1.287077e+01</td>\n",
       "      <td>1.950382e+01</td>\n",
       "      <td>3.377066e+02</td>\n",
       "      <td>5.199114e+02</td>\n",
       "      <td>1.307672e+01</td>\n",
       "      <td>8.284195e+04</td>\n",
       "      <td>3.275077e+04</td>\n",
       "      <td>9.241788e+01</td>\n",
       "      <td>7.133100e-01</td>\n",
       "      <td>9.444711e+00</td>\n",
       "      <td>6.374760e+01</td>\n",
       "      <td>3.562757e+02</td>\n",
       "      <td>2.645918e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.123169e+11</td>\n",
       "      <td>9.000000e+00</td>\n",
       "      <td>4.630000e+02</td>\n",
       "      <td>2.135500e+04</td>\n",
       "      <td>2.000000e+00</td>\n",
       "      <td>2.000000e+00</td>\n",
       "      <td>9.879900e+04</td>\n",
       "      <td>1.382680e+05</td>\n",
       "      <td>3.606060e+05</td>\n",
       "      <td>1.603960e+05</td>\n",
       "      <td>4.413770e+05</td>\n",
       "      <td>1.077420e+05</td>\n",
       "      <td>4.258630e+05</td>\n",
       "      <td>4.532970e+05</td>\n",
       "      <td>1.530850e+05</td>\n",
       "      <td>5.296440e+05</td>\n",
       "      <td>1.631000e+03</td>\n",
       "      <td>6.350000e+02</td>\n",
       "      <td>8.600000e+02</td>\n",
       "      <td>2.251000e+03</td>\n",
       "      <td>3.421000e+03</td>\n",
       "      <td>8.810000e+02</td>\n",
       "      <td>2.895730e+05</td>\n",
       "      <td>1.176680e+05</td>\n",
       "      <td>3.586000e+03</td>\n",
       "      <td>5.000000e+00</td>\n",
       "      <td>6.600000e+01</td>\n",
       "      <td>2.420000e+02</td>\n",
       "      <td>1.445000e+03</td>\n",
       "      <td>1.063000e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.418136e+11</td>\n",
       "      <td>4.200000e+01</td>\n",
       "      <td>9.215000e+03</td>\n",
       "      <td>2.218820e+05</td>\n",
       "      <td>9.000000e+00</td>\n",
       "      <td>1.300000e+01</td>\n",
       "      <td>9.879900e+04</td>\n",
       "      <td>1.382680e+05</td>\n",
       "      <td>3.606060e+05</td>\n",
       "      <td>1.603960e+05</td>\n",
       "      <td>4.413770e+05</td>\n",
       "      <td>6.739340e+05</td>\n",
       "      <td>4.258630e+05</td>\n",
       "      <td>4.532970e+05</td>\n",
       "      <td>1.530850e+05</td>\n",
       "      <td>5.296440e+05</td>\n",
       "      <td>1.631000e+03</td>\n",
       "      <td>6.350000e+02</td>\n",
       "      <td>8.600000e+02</td>\n",
       "      <td>2.251000e+03</td>\n",
       "      <td>3.421000e+03</td>\n",
       "      <td>8.810000e+02</td>\n",
       "      <td>2.895730e+05</td>\n",
       "      <td>1.176680e+05</td>\n",
       "      <td>3.586000e+03</td>\n",
       "      <td>5.000000e+00</td>\n",
       "      <td>6.600000e+01</td>\n",
       "      <td>2.420000e+02</td>\n",
       "      <td>1.445000e+03</td>\n",
       "      <td>1.063000e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.271310e+12</td>\n",
       "      <td>1.610000e+02</td>\n",
       "      <td>8.201100e+04</td>\n",
       "      <td>6.850460e+05</td>\n",
       "      <td>4.600000e+01</td>\n",
       "      <td>1.950000e+02</td>\n",
       "      <td>9.879900e+04</td>\n",
       "      <td>1.382680e+05</td>\n",
       "      <td>3.606060e+05</td>\n",
       "      <td>1.603960e+05</td>\n",
       "      <td>4.413770e+05</td>\n",
       "      <td>6.739340e+05</td>\n",
       "      <td>4.258630e+05</td>\n",
       "      <td>4.532970e+05</td>\n",
       "      <td>1.530850e+05</td>\n",
       "      <td>5.296440e+05</td>\n",
       "      <td>1.631000e+03</td>\n",
       "      <td>6.350000e+02</td>\n",
       "      <td>8.600000e+02</td>\n",
       "      <td>2.251000e+03</td>\n",
       "      <td>3.421000e+03</td>\n",
       "      <td>8.810000e+02</td>\n",
       "      <td>2.895730e+05</td>\n",
       "      <td>1.176680e+05</td>\n",
       "      <td>3.586000e+03</td>\n",
       "      <td>5.000000e+00</td>\n",
       "      <td>6.600000e+01</td>\n",
       "      <td>2.420000e+02</td>\n",
       "      <td>1.445000e+03</td>\n",
       "      <td>1.063000e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.709397e+12</td>\n",
       "      <td>6.129000e+03</td>\n",
       "      <td>5.997030e+05</td>\n",
       "      <td>1.721456e+06</td>\n",
       "      <td>9.522000e+03</td>\n",
       "      <td>1.131730e+05</td>\n",
       "      <td>9.879900e+04</td>\n",
       "      <td>1.382680e+05</td>\n",
       "      <td>3.606060e+05</td>\n",
       "      <td>1.603960e+05</td>\n",
       "      <td>4.413770e+05</td>\n",
       "      <td>6.739340e+05</td>\n",
       "      <td>4.258630e+05</td>\n",
       "      <td>4.532970e+05</td>\n",
       "      <td>1.530850e+05</td>\n",
       "      <td>5.296440e+05</td>\n",
       "      <td>1.631000e+03</td>\n",
       "      <td>6.350000e+02</td>\n",
       "      <td>8.600000e+02</td>\n",
       "      <td>2.251000e+03</td>\n",
       "      <td>3.421000e+03</td>\n",
       "      <td>8.810000e+02</td>\n",
       "      <td>2.895730e+05</td>\n",
       "      <td>1.176680e+05</td>\n",
       "      <td>3.586000e+03</td>\n",
       "      <td>5.000000e+00</td>\n",
       "      <td>6.600000e+01</td>\n",
       "      <td>2.420000e+02</td>\n",
       "      <td>1.445000e+03</td>\n",
       "      <td>1.063000e+04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Id         OrgId    IncidentId       AlertId    DetectorId  \\\n",
       "count  4.577400e+06  4.577400e+06  4.577400e+06  4.577400e+06  4.577400e+06   \n",
       "mean   8.419716e+11  1.730889e+02  6.973234e+04  4.110693e+05  1.096099e+02   \n",
       "std    4.965472e+11  3.731760e+02  1.203110e+05  4.605476e+05  4.252050e+02   \n",
       "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "25%    4.123169e+11  9.000000e+00  4.630000e+02  2.135500e+04  2.000000e+00   \n",
       "50%    8.418136e+11  4.200000e+01  9.215000e+03  2.218820e+05  9.000000e+00   \n",
       "75%    1.271310e+12  1.610000e+02  8.201100e+04  6.850460e+05  4.600000e+01   \n",
       "max    1.709397e+12  6.129000e+03  5.997030e+05  1.721456e+06  9.522000e+03   \n",
       "\n",
       "         AlertTitle      DeviceId        Sha256     IpAddress           Url  \\\n",
       "count  4.577400e+06  4.577400e+06  4.577400e+06  4.577400e+06  4.577400e+06   \n",
       "mean   2.862698e+03  9.556584e+04  1.283791e+05  2.829348e+05  1.506187e+05   \n",
       "std    1.106618e+04  1.659709e+04  3.454983e+04  1.430936e+05  3.711049e+04   \n",
       "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "25%    2.000000e+00  9.879900e+04  1.382680e+05  3.606060e+05  1.603960e+05   \n",
       "50%    1.300000e+01  9.879900e+04  1.382680e+05  3.606060e+05  1.603960e+05   \n",
       "75%    1.950000e+02  9.879900e+04  1.382680e+05  3.606060e+05  1.603960e+05   \n",
       "max    1.131730e+05  9.879900e+04  1.382680e+05  3.606060e+05  1.603960e+05   \n",
       "\n",
       "         AccountSid    AccountUpn  AccountObjectId   AccountName  \\\n",
       "count  4.577400e+06  4.577400e+06     4.577400e+06  4.577400e+06   \n",
       "mean   3.544669e+05  4.717130e+05     3.429710e+05  3.588808e+05   \n",
       "std    1.651846e+05  2.874341e+05     1.586342e+05  1.732754e+05   \n",
       "min    0.000000e+00  0.000000e+00     0.000000e+00  0.000000e+00   \n",
       "25%    4.413770e+05  1.077420e+05     4.258630e+05  4.532970e+05   \n",
       "50%    4.413770e+05  6.739340e+05     4.258630e+05  4.532970e+05   \n",
       "75%    4.413770e+05  6.739340e+05     4.258630e+05  4.532970e+05   \n",
       "max    4.413770e+05  6.739340e+05     4.258630e+05  4.532970e+05   \n",
       "\n",
       "         DeviceName  NetworkMessageId   RegistryKey  RegistryValueName  \\\n",
       "count  4.577400e+06      4.577400e+06  4.577400e+06       4.577400e+06   \n",
       "mean   1.428748e+05      4.829440e+05  1.628050e+03       6.347218e+02   \n",
       "std    3.666529e+04      1.381830e+05  6.814881e+01       1.287077e+01   \n",
       "min    0.000000e+00      0.000000e+00  0.000000e+00       0.000000e+00   \n",
       "25%    1.530850e+05      5.296440e+05  1.631000e+03       6.350000e+02   \n",
       "50%    1.530850e+05      5.296440e+05  1.631000e+03       6.350000e+02   \n",
       "75%    1.530850e+05      5.296440e+05  1.631000e+03       6.350000e+02   \n",
       "max    1.530850e+05      5.296440e+05  1.631000e+03       6.350000e+02   \n",
       "\n",
       "       RegistryValueData  ApplicationId  ApplicationName  OAuthApplicationId  \\\n",
       "count       4.577400e+06   4.577400e+06     4.577400e+06        4.577400e+06   \n",
       "mean        8.595315e+02   2.198992e+03     3.339762e+03        8.807908e+02   \n",
       "std         1.950382e+01   3.377066e+02     5.199114e+02        1.307672e+01   \n",
       "min         0.000000e+00   0.000000e+00     0.000000e+00        0.000000e+00   \n",
       "25%         8.600000e+02   2.251000e+03     3.421000e+03        8.810000e+02   \n",
       "50%         8.600000e+02   2.251000e+03     3.421000e+03        8.810000e+02   \n",
       "75%         8.600000e+02   2.251000e+03     3.421000e+03        8.810000e+02   \n",
       "max         8.600000e+02   2.251000e+03     3.421000e+03        8.810000e+02   \n",
       "\n",
       "           FileName    FolderPath  ResourceIdName      OSFamily     OSVersion  \\\n",
       "count  4.577400e+06  4.577400e+06    4.577400e+06  4.577400e+06  4.577400e+06   \n",
       "mean   2.612549e+05  1.072358e+05    3.583357e+03  4.895628e+00  6.461704e+01   \n",
       "std    8.284195e+04  3.275077e+04    9.241788e+01  7.133100e-01  9.444711e+00   \n",
       "min    0.000000e+00  0.000000e+00    0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "25%    2.895730e+05  1.176680e+05    3.586000e+03  5.000000e+00  6.600000e+01   \n",
       "50%    2.895730e+05  1.176680e+05    3.586000e+03  5.000000e+00  6.600000e+01   \n",
       "75%    2.895730e+05  1.176680e+05    3.586000e+03  5.000000e+00  6.600000e+01   \n",
       "max    2.895730e+05  1.176680e+05    3.586000e+03  5.000000e+00  6.600000e+01   \n",
       "\n",
       "        CountryCode         State          City  \n",
       "count  4.577400e+06  4.577400e+06  4.577400e+06  \n",
       "mean   2.230627e+02  1.348427e+03  9.913553e+03  \n",
       "std    6.374760e+01  3.562757e+02  2.645918e+03  \n",
       "min    0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "25%    2.420000e+02  1.445000e+03  1.063000e+04  \n",
       "50%    2.420000e+02  1.445000e+03  1.063000e+04  \n",
       "75%    2.420000e+02  1.445000e+03  1.063000e+04  \n",
       "max    2.420000e+02  1.445000e+03  1.063000e+04  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traindata.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             Category EntityType EvidenceRole   IncidentGrade\n",
      "count         4577400    4577400      4577400         4577400\n",
      "unique             20         31            2               3\n",
      "top     InitialAccess         Ip      Related  BenignPositive\n",
      "freq          1990165    1088602      2491054         1973943\n"
     ]
    }
   ],
   "source": [
    "# Summary statistics for categorical features\n",
    "categorical_features = [\"Category\", \"EntityType\", \"EvidenceRole\",\"IncidentGrade\"]\n",
    "print(traindata[categorical_features].describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                     642342\n",
       "OrgId                    5236\n",
       "IncidentId             421530\n",
       "AlertId               1150459\n",
       "Timestamp              719084\n",
       "DetectorId               7369\n",
       "AlertTitle              74710\n",
       "Category                   20\n",
       "IncidentGrade               3\n",
       "EntityType                 31\n",
       "EvidenceRole                2\n",
       "DeviceId                55204\n",
       "Sha256                  73078\n",
       "IpAddress              195384\n",
       "Url                     85332\n",
       "AccountSid             265788\n",
       "AccountUpn             394186\n",
       "AccountObjectId        257733\n",
       "AccountName            272375\n",
       "DeviceName              80956\n",
       "NetworkMessageId       260032\n",
       "RegistryKey               937\n",
       "RegistryValueName         401\n",
       "RegistryValueData         496\n",
       "ApplicationId            1003\n",
       "ApplicationName          1610\n",
       "OAuthApplicationId        416\n",
       "FileName               142641\n",
       "FolderPath              59652\n",
       "ResourceIdName           1497\n",
       "OSFamily                    6\n",
       "OSVersion                  48\n",
       "CountryCode               212\n",
       "State                    1197\n",
       "City                     7107\n",
       "dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traindata.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Converting Timestamp to date time\n",
    "\n",
    "traindata['Timestamp'] = pd.to_datetime(traindata['Timestamp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "datetime64[ns, UTC]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0   2024-06-06 05:56:47+00:00\n",
       "1   2024-06-03 10:45:09+00:00\n",
       "2   2024-06-13 03:36:40+00:00\n",
       "3   2024-06-08 16:54:57+00:00\n",
       "4   2024-06-09 02:48:01+00:00\n",
       "Name: Timestamp, dtype: datetime64[ns, UTC]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(traindata['Timestamp'].dtype)\n",
    "\n",
    "traindata['Timestamp'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>Id</th>\n",
       "      <th>OrgId</th>\n",
       "      <th>IncidentId</th>\n",
       "      <th>AlertId</th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>DetectorId</th>\n",
       "      <th>AlertTitle</th>\n",
       "      <th>Category</th>\n",
       "      <th>IncidentGrade</th>\n",
       "      <th>EntityType</th>\n",
       "      <th>EvidenceRole</th>\n",
       "      <th>DeviceId</th>\n",
       "      <th>Sha256</th>\n",
       "      <th>IpAddress</th>\n",
       "      <th>Url</th>\n",
       "      <th>AccountSid</th>\n",
       "      <th>AccountUpn</th>\n",
       "      <th>AccountObjectId</th>\n",
       "      <th>AccountName</th>\n",
       "      <th>DeviceName</th>\n",
       "      <th>NetworkMessageId</th>\n",
       "      <th>RegistryKey</th>\n",
       "      <th>RegistryValueName</th>\n",
       "      <th>RegistryValueData</th>\n",
       "      <th>ApplicationId</th>\n",
       "      <th>ApplicationName</th>\n",
       "      <th>OAuthApplicationId</th>\n",
       "      <th>FileName</th>\n",
       "      <th>FolderPath</th>\n",
       "      <th>ResourceIdName</th>\n",
       "      <th>OSFamily</th>\n",
       "      <th>OSVersion</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>State</th>\n",
       "      <th>City</th>\n",
       "      <th>Day</th>\n",
       "      <th>Month</th>\n",
       "      <th>Year</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1709396985476</td>\n",
       "      <td>26</td>\n",
       "      <td>18583</td>\n",
       "      <td>687462</td>\n",
       "      <td>2024-06-06 05:56:47+00:00</td>\n",
       "      <td>31</td>\n",
       "      <td>813</td>\n",
       "      <td>Malware</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>File</td>\n",
       "      <td>Related</td>\n",
       "      <td>98799</td>\n",
       "      <td>1296</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>4132</td>\n",
       "      <td>4227</td>\n",
       "      <td>3586</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>2024</td>\n",
       "      <td>5</td>\n",
       "      <td>05:56:47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>927712939180</td>\n",
       "      <td>33</td>\n",
       "      <td>5065</td>\n",
       "      <td>3990</td>\n",
       "      <td>2024-06-03 10:45:09+00:00</td>\n",
       "      <td>38</td>\n",
       "      <td>25</td>\n",
       "      <td>Impact</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>Machine</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>3142</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>289573</td>\n",
       "      <td>117668</td>\n",
       "      <td>3586</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>2024</td>\n",
       "      <td>10</td>\n",
       "      <td>10:45:09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1090921697002</td>\n",
       "      <td>201</td>\n",
       "      <td>150787</td>\n",
       "      <td>807590</td>\n",
       "      <td>2024-06-13 03:36:40+00:00</td>\n",
       "      <td>419</td>\n",
       "      <td>444</td>\n",
       "      <td>Execution</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>Machine</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>4181</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>289573</td>\n",
       "      <td>117668</td>\n",
       "      <td>3586</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>13</td>\n",
       "      <td>6</td>\n",
       "      <td>2024</td>\n",
       "      <td>3</td>\n",
       "      <td>03:36:40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1434519079555</td>\n",
       "      <td>204</td>\n",
       "      <td>108287</td>\n",
       "      <td>28575</td>\n",
       "      <td>2024-06-08 16:54:57+00:00</td>\n",
       "      <td>44</td>\n",
       "      <td>1233</td>\n",
       "      <td>SuspiciousActivity</td>\n",
       "      <td>TruePositive</td>\n",
       "      <td>File</td>\n",
       "      <td>Related</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>97007</td>\n",
       "      <td>9177</td>\n",
       "      <td>3586</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>2024</td>\n",
       "      <td>16</td>\n",
       "      <td>16:54:57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1005022347708</td>\n",
       "      <td>54</td>\n",
       "      <td>528202</td>\n",
       "      <td>1458226</td>\n",
       "      <td>2024-06-09 02:48:01+00:00</td>\n",
       "      <td>102</td>\n",
       "      <td>58829</td>\n",
       "      <td>Exfiltration</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>File</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>39978</td>\n",
       "      <td>114449</td>\n",
       "      <td>3586</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>2024</td>\n",
       "      <td>2</td>\n",
       "      <td>02:48:01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Id  OrgId  IncidentId  AlertId                 Timestamp  \\\n",
       "0  1709396985476     26       18583   687462 2024-06-06 05:56:47+00:00   \n",
       "1   927712939180     33        5065     3990 2024-06-03 10:45:09+00:00   \n",
       "2  1090921697002    201      150787   807590 2024-06-13 03:36:40+00:00   \n",
       "3  1434519079555    204      108287    28575 2024-06-08 16:54:57+00:00   \n",
       "4  1005022347708     54      528202  1458226 2024-06-09 02:48:01+00:00   \n",
       "\n",
       "   DetectorId  AlertTitle            Category   IncidentGrade EntityType  \\\n",
       "0          31         813             Malware  BenignPositive       File   \n",
       "1          38          25              Impact  BenignPositive    Machine   \n",
       "2         419         444           Execution  BenignPositive    Machine   \n",
       "3          44        1233  SuspiciousActivity    TruePositive       File   \n",
       "4         102       58829        Exfiltration  BenignPositive       File   \n",
       "\n",
       "  EvidenceRole  DeviceId  Sha256  IpAddress     Url  AccountSid  AccountUpn  \\\n",
       "0      Related     98799    1296     360606  160396      441377      673934   \n",
       "1     Impacted     98799  138268     360606  160396      441377      673934   \n",
       "2     Impacted     98799  138268     360606  160396      441377      673934   \n",
       "3      Related     98799  138268     360606  160396      441377      673934   \n",
       "4     Impacted     98799  138268     360606  160396      441377      673934   \n",
       "\n",
       "   AccountObjectId  AccountName  DeviceName  NetworkMessageId  RegistryKey  \\\n",
       "0           425863       453297      153085            529644         1631   \n",
       "1           425863       453297        3142            529644         1631   \n",
       "2           425863       453297        4181            529644         1631   \n",
       "3           425863       453297      153085            529644         1631   \n",
       "4           425863       453297      153085            529644         1631   \n",
       "\n",
       "   RegistryValueName  RegistryValueData  ApplicationId  ApplicationName  \\\n",
       "0                635                860           2251             3421   \n",
       "1                635                860           2251             3421   \n",
       "2                635                860           2251             3421   \n",
       "3                635                860           2251             3421   \n",
       "4                635                860           2251             3421   \n",
       "\n",
       "   OAuthApplicationId  FileName  FolderPath  ResourceIdName  OSFamily  \\\n",
       "0                 881      4132        4227            3586         5   \n",
       "1                 881    289573      117668            3586         5   \n",
       "2                 881    289573      117668            3586         5   \n",
       "3                 881     97007        9177            3586         5   \n",
       "4                 881     39978      114449            3586         5   \n",
       "\n",
       "   OSVersion  CountryCode  State   City  Day  Month  Year  Hour      Time  \n",
       "0         66          242   1445  10630    6      6  2024     5  05:56:47  \n",
       "1         66          242   1445  10630    3      6  2024    10  10:45:09  \n",
       "2         66          242   1445  10630   13      6  2024     3  03:36:40  \n",
       "3         66          242   1445  10630    8      6  2024    16  16:54:57  \n",
       "4         66          242   1445  10630    9      6  2024     2  02:48:01  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Extracting Day, Month, Year, Hour and Time from Timestamp\n",
    "\n",
    "traindata[\"Day\"] = traindata[\"Timestamp\"].dt.day\n",
    "traindata[\"Month\"] = traindata[\"Timestamp\"].dt.month\n",
    "traindata[\"Year\"] = traindata[\"Timestamp\"].dt.year\n",
    "traindata[\"Hour\"] = traindata[\"Timestamp\"].dt.hour\n",
    "traindata[\"Time\"] = traindata[\"Timestamp\"].dt.time\n",
    "\n",
    "# dropping TimeStamp Column\n",
    "#traindata.drop(\"Timestamp\",axis=1,inplace=True)   # doprring timestamp column\n",
    "traindata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TT3DPPfcwatQoKioqeO2117jkkku47rrr6NKlCwDt27dn9OjRbLrppjXH+fa3v02fPn148sknufjii6msrKRXr16cdtppNblMnTqVPn360KdPH6655pqa/JYtW8aoUaOorKykd+/e3HDDDSV/riVJkqTmZIHVQv72t7/x85//nJdeeonXX3+dxx9/nE8++YRhw4bxv//7v0ybNo0HH3yQjh07rrTfRRddxD777MOLL77IV77yFd566y0AXn75ZX7/+9/z+OOPU1VVRVlZGbfddhsAixYtYs8992TatGkMGjSIG2+8kb333pvDDjuMyy+/nKqqKrbYYgsWLlxIz54968150aJFDBgwgGnTprHPPvvwrW99iylTpvDCCy+wePFi7r33XgBOOukkrr76aqZNm7bS/r/61a/YbLPNmDJlClOmTOHGG2/kjTfeyPNplSRJklqUBVYL6d+/P9tuuy0bbLABFRUVzJo1i7///e9svfXWVFZWArDpppuy4YYrf1XZo48+yte//nUADjnkEDbffHMAHnroIaqqqqisrKSiooKHHnqI119/HSiMRK0YAdtjjz2YNWtWo/k98MADVFRU0KNHD5544gkAysrKOPLII2u2mTRpEgMGDKC8vJyHH36YF198kfnz5zN//nwGDRoEwAknnFCz/cSJE7nllluoqKhgwIABzJ07l1dffXVNnj5JkiSpVfKLhlvIRhttVHO7rKyMpUuXrtXxUkocd9xx/PSnP12lr127djVLmNcXa9NNN6VTp0688cYb9OzZk6FDhzJ06FAOPfRQPvnkEwA6dOhQ8z1TS5Ys4YwzzuDZZ59lu+2248ILL2TJkiWN5nj11VczdOjQtXqskiRJUmvlCFYrstNOOzF79mymTJkCQHV19SrF0KBBg7j99tsBuP/++/noo48AOOCAA7j77rv54IMPAJg3bx5vvvlmg/E6d+5MdXV1zf3vfve7jBw5kvnz5wOFgqi+omlFe7du3Vi4cCETJkwAoEuXLnTp0oW//vWvADXTFAGGDh3KddddV7Mq4SuvvMKiRYsaeVYkSZKktsMRrFakffv2jB8/nrPOOovFixfTsWNHHnzwwZW2ueCCCzj22GPZbbfd2Hvvvfnc5z4HwK677soPfvADhgwZwvLly2nXrh3XXHMN22+/fb3xjjnmGE499VSuuuoqJkyYwMiRI2uus9poo43o1KkTAwcOpG/fvqvs26VLF0499VR69erFVlttVTOtEeDXv/41J598MhHBkCFDatpPOeUUZs2axe67705KiS222IK77757LZ81SZIkqfWwwGpGCxcuBGDw4MEMHjy4pv0Xv/hFze3KykqeeuqplfYr3r5r165MnDixzuMfeeSRjBgxot64AEcddRRHHXUUAAMHDlzle7BGjRrFqFGjGsx/hTFjxjBmzJiV2qqrq9ljjz1WWuDiJz/5CQAbbLABl156KZdeemmdx5ckaU2Vjy1vsH9kp5GcNfasevunD5+ed0qS1lNOEZQkSZKknFhgSZIkSVJOLLAkSZIkKSdegyVJkpSDlr4ObG3j55GDJEewJEmSJCk3FliSJEmSlBOnCK6GHqP/lOvxZl12SKPblJWVUV5eTkqJsrIyfvGLX7D33nuvUbwf/vCHDBo0iC9+8YtrtP+KXJYuXcouu+zC2LFj2XjjjZu8/7vvvsvZZ5/NhAkTqKqq4t133+Xggw8G4J577uGll15i9OjRa5SbJEmS1Bo4gtXKdezYkaqqKqZNm8aPfvQjvvvd767xsS6++OI1Lq6Kc3nhhRdo3749119//Wrtv8022zBhwgQAqqqquO+++2r6DjvsMIsrSZIktXkWWG3Ixx9/zOabb15z//LLL6eyspLevXtzwQUXADBr1ix22WUXTj31VHbbbTeGDBnC4sWLARgxYkRNgXPfffex8847s8cee3D22Wdz6KGHAnDhhRdy8sknM3jwYHbYYQeuuuqqOnPZd999mTlzJvPmzeOII46gd+/e7LnnnrzwwgsAPPLII1RUVFBRUUHfvn2prq5m1qxZ9OrVi08++YQf/vCHjB8/noqKCsaPH8/NN9/Mt771LRYsWMD222/P8uXLAVi0aBHbbbcdn376Ka+99hoHHngge+yxB/vuuy8zZswozRMtSZIkrSGnCLZyixcvpqKigiVLljB79mwefvhhACZOnMirr77KM888Q0qJww47jMcff5ydd96ZV199ld/+9rfceOONfO1rX+POO+/k61//es0xlyxZwumnn86jjz5Kz549OfbYY1eKOWPGDCZNmkR1dTU77bQTI0eOpF27djX9S5cu5f777+fAAw/kggsuoG/fvtx99908/PDDnH766Tz//PNcccUVXHPNNQwcOJCFCxfSoUOHmv3bt2/PxRdfzLPPPssvfvELAG6++WYANttsMyoqKnjkkUfYb7/9uPfeexk6dCjt2rXjtNNO4/rrr2fHHXfk6aef5owzzqh5PiRJUstr6ZUUpdbAEaxWbsW0vBkzZvDnP/+ZE088kZQSEydOZOLEifTt25fdd9+dGTNm8NprrwHQs2dPKioqANhjjz2YNWvWSsecMWMGO+ywAz179gRYpcA65JBD2GijjejWrRtbbrkl77//PvDvYq9fv3587nOf4xvf+AZ//etfOeGEEwDYf//9mTdvHh9//DEDBw7kvPPO46qrrmL+/PlsuGHTa/lhw4Yxfvx4AMaNG8ewYcNYuHAhTzzxBEcffTQVFRWcfvrpzJ49e7WfT0mSJKmUHMFqQ/baay8+/PBD5syZQ0qJ7373u5x++uk1/dXV1cydO5eNNtqopq2srKxmimBT1d5/6dKlwL+LvaYYPXo0hxxyCPfddx8DBw7kgQceWGkUqyGHHXYY559/PvPmzWPq1Knsv//+LFq0iC5dujQ5viRJktQSHMFqQ2bMmMGyZcvo2rUrQ4cO5aabbmLhwoUAvPPOO8yZM6dJx9lpp514/fXXa0a2VowWrYl9992X2267DYDJkyfTtWtXNt10U1577TXKy8v5zne+Q2Vl5SrXS3Xu3Jnq6uo6j9mpUycqKys555xzOPTQQykrK2PTTTelZ8+e/O53vwMgpcS0adPWOG9JkiSpFBzBWg0NLateXV1N586dc4+5YloeFIqKsWPHUlZWxpAhQ3j55ZfZa6+9gEJRcv3117PZZps1esyOHTty7bXXcuCBB7LJJptQWVm5xvmtWBSjd+/ebLzxxjUrC/785z9n0qRJbLDBBuy2224cdNBBK03p22+//bjsssuoqKioc2XEYcOGcfTRRzN58uSatttuu42RI0cyZswYPv30U4455hj69OmzxrlLkiRJebPAauWWLVtWb98555zDOeecU3N/RZG3YiU/gP/+7/+uub1iIQkoFDgzZswgpcSZZ55Jv379gELBVKz4WCtGy4p95jOf4e67714pB4Crr756lW179OhRc7zPfOYzTJkyZaX+ESNG1Nw+6qijSCmt1N+zZ0/+/Oc/r3JcSZIkqbVwiuB66sYbb6SiooLddtuNBQsWrHQtlyRJkqQ14wjWeurcc8/l3HPPbek0JEmSpHWKI1iSJEmSlBMLLEmSJEnKiQWWJEmSJOXEAkuSJEmScuIiF6vjwvq/Y2qNvgHrwgWNblJWVkZ5eXnN/bvvvpsePXrUue3WW29d51LqjRk8eDCzZ8+mQ4cOdOrUiZtuuomddtpptY5x8MEHc/vtt1NdXc1vfvMbzjjjDADeffddzj77bCZMmLDaeUmSJEltjSNYrVzHjh2pqqqq+amvuFpbt912G9OmTWP48OGMGjVqtfe/77776NKlCwsWLODaa6+tad9mm20sriRJkrTesMBqYxYuXMgBBxzA7rvvTnl5OX/4wx9W2Wb27NkMGjSIiooKevXqxWOPPQbAxIkT2Wuvvdh99905+uij6xztGjRoEDNnziSlxKhRo+jVqxfl5eWMHz++wWP36NGDDz/8kAsuuIDXXnuNiooKRo0axaxZs+jVqxcAe+65Jy+++GJNrMGDB/Pss8+yaNEiTj75ZPr370/fvn3rfEySpPqVjy1v8OeluS812C9Jyo9TBFu5xYsXU1FRAUDPnj353e9+x1133cWmm27Khx9+yJ577slhhx1GRNTsc/vttzN06FC+973vsWzZMv75z3/y4YcfMmbMGB588EE22WQTfvzjH3PllVfywx/+cKV4f/zjHykvL+f3v/89VVVVTJs2jQ8//JDKykoGDRpU57GLXXTRRfz973+nqqoKgFmzZtX0DRs2jDvuuIOLLrqI2bNnM3v2bPr168f555/P/vvvz0033cT8+fPp378/X/ziF9lkk01K8pxKkvLVWJE2stNIzhp7VoPbTB8+Pc+UtB5b29ejr0WtLQusVm7FFMEVPv30U84//3weffRRNthgA9555x3ef/99ttpqq5ptKisrOfnkk/n000854ogjqKio4JFHHuGll15i4MCBAHzyySfstddeNfscf/zxdOzYkR49enD11Vdz5ZVXcuyxx1JWVkb37t35z//8T6ZMmVLnsZvqa1/7GkOGDOGiiy7ijjvu4KijjgIKI2v33HMPV1xxBQBLlizhrbfeYpdddlmLZ06SJElqfhZYbcxtt93GnDlzmDp1Ku3ataNHjx4sWbJkpW0GDRrEo48+yp/+9CdGjBjBeeedx+abb86XvvQlfvvb39Z73H79+jUav65jn3jiiU3K/bOf/Sxdu3bl+eefZ/z48Vx//fUApJS48847V3thDUmSJKm18RqsNmbBggVsueWWtGvXjkmTJvHmm2+uss2bb75J9+7dOfXUUznllFN47rnn2HPPPXn88ceZOXMmAIsWLeKVV16pN86+++7L+PHjWbZsGXPmzOHRRx+lf//+dR67WKdOnaiurq73uMOGDeMnP/kJCxYsoHfv3gAMHTqUq6++mpQSAH/7299W+3mRJEmSWgNHsFZHA8uqV1dX07nzGi3WvlqOP/54vvzlL1NeXk6/fv3YeeedV9lm8uTJXH755bRr145OnTpxyy23sMUWW3DzzTdz7LHH8q9//QuAMWPG8IUvfKHOOF/5yld48skn6dOnDxHBT37yE7baaivGjh27yrGLde3alYEDB9KrVy8OOuggzjzzzJX6jzrqKM455xx+8IMf1LT94Ac/4L/+67/o3bs3y5cvp2fPntx7771r+1RJkiRJzc4Cq5WrvdJft27dePLJJ+vcdvbs2QAMHz6c4cOHr9K///77M2XKlFXaJ0+evEpbRHD55Zdz+eWXr9Re37FXLGZRXV3N7bffvlLfCy+8UHO7e/fuLF26dKX+jh07csMNN9T5mCRJkqS2xCmCkiRJkpQTCyxJkiRJyokFliRJkiTlxAJLkiRJknJigSVJkiRJOXEVQUmSJCkn5WPLG+wf2WkkZ409q97+6cOn552SmpkF1mpo7BdmdTX2CzR37lwOOOAAAN577z3KysrYYostAHjmmWdo3779GsXt0aMHnTt3JiLYaqutuOWWW9hqq61W6xh77703TzzxBLNmzeKJJ57guOOOA+C5557jzjvv5Kqrrlqj3CRJkqS2zCmCrVjXrl2pqqqiqqqKb37zm5x77rk199u3b7/K90mtjkmTJvH888/Tr18/Lr300tXe/4knngAK339V/L1Xu+++u8WVJEmS1lsWWG3MiBEj+OY3v8mAAQP4n//5Hy688EKuuOKKmv5evXrVfOnvrbfeSv/+/amoqOD0009n2bJlqxxv0KBBzJw5kyVLlnDSSSdRXl5O3759mTRpEgAvvvhizTF69+7Nq6++CkCnTp0AGD16NI899hgVFRX87Gc/47HHHuPQQw9l+fLl9OjRg/nz59fE2nHHHXn//feZM2cORx55JJWVlVRWVvL444+X6NmSJEmSmpcFVhv09ttv88QTT3DllVfWu83LL7/M+PHjefzxx6mqqqKsrIzbbrttle3uvfdeysvLueaaa4gIpk+fzm9/+1uGDx/OkiVLuP766znnnHOoqqri2WefZdttt11p/8suu4x9992Xqqoqzj333Jr2DTbYgMMPP5y77roLgKeffprtt9+e7t27c84553DuuecyZcoU7rzzTk455ZScnhlJkiSpZXkNVht09NFHU1ZW1uA2Dz30EFOnTqWyshKAxYsXs+WWW9b077fffpSVldG7d2/GjBnDSSedxFlnFS643Hnnndl+++155ZVX2Guvvbjkkkt4++23+epXv8qOO+7Y5DyHDRvGxRdfzEknncS4ceMYNmwYAA8++CAvvfRSzXYff/wxCxcurBkVkyRJktoqC6w2aJNNNqm5veGGG7J8+fKa+0uWLAEgpcTw4cP50Y9+VOcxJk2aRLdu3RqNddxxxzFgwAD+9Kc/cfDBB3PDDTew//77NynPvfbai5kzZzJnzhzuvvtuvv/97wOwfPlynnrqKTp06NCk40iSJElthVME27gePXrw3HPPAVBVVcUbb7wBwAEHHMCECRP44IMPAJg3bx5vvvlmvcfZd999a6YQvvLKK7z11lvstNNOvP766+ywww6cffbZHH744Tz//PMr7de5c2eqq6vrPGZE8JWvfIXzzjuPXXbZha5duwIwZMgQrr766prtqqqq1uzBS5IkSa2MI1iroaFl1aurq+ncuXMzZlNw5JFHcsstt7Dbbrux++6784UvfAGAXXfdlTFjxjBkyBCWL19Ou3btuOaaa9h+++3rPM4ZZ5zByJEjKS8vZ8MNN+Tmm29mo4024o477uA3v/kN7dq1Y6uttuL8889fab/evXtTVlZGnz59GDFiBDvttNNK/cOGDaOyspKbb765pu2qq67izDPPpHfv3ixdupRBgwZx/fXX5/vESJIkSS3AAquNuPDCC+ts79ixIxMnTgRWLfKGDRtWc91TsRWrDBbr0KEDv/71r1dpHz16NKNHj16lfeHChQC0a9eOhx9+uKa9urqagw8+uOZ+v379SCmttG+3bt0YP358nY9Hktoav1RUklSsZFMEI2K7iJgUES9FxIsRcU7W/pmI+EtEvJr9u3nWHhFxVUTMjIjnI2L3omMNz7Z/NSKGF7XvERHTs32uiohoKIYkSZIklVIpr8FaCnw7pbQrsCdwZkTsCowGHkop7Qg8lN0HOAjYMfs5DbgOCsUScAEwAOgPXFBUMF0HnFq034FZe30xJEmSJKlkSlZgpZRmp5Sey25XAy8DnwUOB8Zmm40FjshuHw7ckgqeArpExNbAUOAvKaV5KaWPgL8AB2Z9m6aUnkqFOWi31DpWXTHW5HGs6a5qZp4rSZIktbRmWUUwInoAfYGnge4ppdlZ13tA9+z2Z4F/FO32dtbWUPvbdbTTQIzV0qFDB+bOnesb9zYgpcTcuXNZtmxZS6ciSZKk9ViUuniIiE7AI8AlKaXfR8T8lFKXov6PUkqbR8S9wGUppb9m7Q8B3wEGAx1SSmOy9h8Ai4HJ2fZfzNr3Bb6TUjq0vhh15HYahemIdO/efY9x48bV7meTTTZp9Et9ofAGP7sErMWs7zksW7aMDz74gI033rhF4q/QGr40uaVzaOn4rSGHlo5vDs0X/6W5LzXYv0XZFsxZNqfe/l277trmc1jb+K0hB89D68jB87BuPAdNsS78/7DffvtNTSn1q91e0gIrItoB9wIPpJSuzNr+DgxOKc3OpvlNTintFBE3ZLd/W7zdip+U0ulZ+w0UiqvJwKSU0s5Z+7ErtqsvRkO59uvXLz377LNr/FgnT57M4MGD13j/PJhDy8c3h9YRvzXk0NLxzaH54jdlFcHrFl5Xb38eqwi2dA5rG7815OB5aB05eB7WjeegKdaF/x8ios4Cq5SrCAbwK+DlFcVV5h5gxUqAw4E/FLWfmK0muCewIJvm9wAwJCI2zxa3GEKhYJsNfBwRe2axTqx1rLpiSJIkSVLJlPJ7sAYCJwDTI6IqazsfuAy4IyK+AbwJfC3ruw84GJgJ/BM4CSClNC8i/h8wJdvu4pTSvOz2GcDNQEfg/uyHBmJIkiRJUsmUrMDKrqWq72KcA+rYPgFn1nOsm4Cb6mh/FuhVR/vcumJIkiRJUik1yyqCkiRJkrQ+sMCSJEmSpJxYYEmSJElSTiywJEmSJCknFliSJEmSlBMLLEmSJEnKiQWWJEmSJOWklF80LElSSZWPLW+wf2SnkZw19qwGt5k+fHqeKUmS1nOOYEmSJElSThzBkiRJkpSbxmYXQOMzDNry7AJHsCRJkiQpJxZYkiRJkpQTCyxJkiRJyokFliRJkiTlxAJLkiRJknJigSVJkiRJObHAkiRJkqScWGBJkiRJUk4ssCRJkiQpJxZYkiRJkpSTDVs6AUlS21U+trzB/pGdRnLW2LPq7Z8+fHreKUmS1KIcwZIkSZKknDiC1Yb4SbEkSZLUullgSZIkSVqntOTAhFMEJUmSJCknjmBJUhvltGFJklofR7AkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTmxwJIkSZKknGzY0gm0FeVjyxvsH9lpJGeNPave/unDp+edkiRJkqRWxhEsSZIkScqJBZYkSZIk5cQpgpK0BtZ22jA4dViSpHWRI1iSJEmSlBMLLEmSJEnKiVME1WSNTYkCV1OUJEnS+s0RLEmSJEnKiQWWJEmSJOXEAkuSJEmScmKBJUmSJEk5scCSJEmSpJxYYEmSJElSTlymXW1KY0vFu0y8JEmSWpIFliRJavOmv/FWg/2Td/qk0W0kKQ9OEZQkSZKknFhgSZIkSVJOLLAkSZIkKSdegyW1MY0t9AHrx2IfLngiSZJaIwssSZKkHLT0QhstHV9SgQWWtJocOZEkqW4WeZIFlqQ1YJEpSZJUNxe5kCRJkqScWGBJkiRJUk4ssCRJkiQpJxZYkiRJkpSTkhVYEXFTRHwQES8UtV0YEe9ERFX2c3BR33cjYmZE/D0ihha1H5i1zYyI0UXtPSPi6ax9fES0z9o3yu7PzPp7lOoxSpIkSVKxUo5g3QwcWEf7z1JKFdnPfQARsStwDLBbts+1EVEWEWXANcBBwK7Asdm2AD/OjvV54CPgG1n7N4CPsvafZdtJkiRJUsmVrMBKKT0KzGvi5ocD41JK/0opvQHMBPpnPzNTSq+nlD4BxgGHR0QA+wMTsv3HAkcUHWtsdnsCcEC2vSRJkiSVVKSUSnfwwvS8e1NKvbL7FwIjgI+BZ4Fvp5Q+iohfAE+llG7NtvsVcH92mANTSqdk7ScAA4ALs+0/n7VvB9yfUuqVTUk8MKX0dtb3GjAgpfRhHfmdBpwG0L179z3GjRtX72N5ae5LDT7WLcq2YM6yOfX279p113r7mqqlc2gsfmvIwfPQOnLwPDQevzXk4HloHTl4HvLJgdlVDXYv3GgbOv3r3fo32Lpi7eK3hhzWNn5ryCGH89DWfx/Wh78JrSGHPOLvt99+U1NK/Wq3N3eB1R34EEjA/wO2Timd3FIFVrF+/fqlZ599tt7+pnyx6nULr6u3P48vVm3pHBqL3xpy8Dy0jhw8D43Hbw05eB5aRw6eh3xy4MLNGuyevNNFDP77BQ3sv2Dt4reGHNY2fmvIIYfz0NZ/H9aHvwmtIYc84kdEnQVWs64imFJ6P6W0LKW0HLiRwhRAgHeA7Yo23TZrq699LtAlIjas1b7SsbL+zbLtJUmSJKmkmrXAioiti+5+BVixwuA9wDHZCoA9gR2BZ4ApwI7ZioHtKSyEcU8qDLtNAo7K9h8O/KHoWMOz20cBD6dSDtNJkiRJUmbDxjdZMxHxW2Aw0C0i3gYuAAZHRAWFKYKzgNMBUkovRsQdwEvAUuDMlNKy7DjfAh4AyoCbUkovZiG+A4yLiDHA34BfZe2/An4TETMpLLJxTKkeoyRJkiQVK1mBlVI6to7mX9XRtmL7S4BL6mi/D7ivjvbX+fcUw+L2JcDRq5WsJEmSJOWgZAWWJElqHtPfeKvB/sk7fdLoNm05viS1JhZYkiRJWmdY8KulNesiF5IkSZK0LrPAkiRJkqScWGBJkiRJUk4ssCRJkiQpJxZYkiRJkpQTCyxJkiRJyonLtEuSJEk5cZl4OYIlSZIkSTmxwJIkSZKknFhgSZIkSVJOvAZLkqS14PUWkqRijmBJkiRJUk4ssCRJkiQpJxZYkiRJkpQTCyxJkiRJyokFliRJkiTlxAJLkiRJknLiMu2SJEnSOsSvj2hZjmBJkiRJUk4ssCRJkiQpJxZYkiRJkpSTJhVYETGwKW2SJEmStD5r6gjW1U1skyRJkqT1VoOrCEbEXsDewBYRcV5R16ZAWSkTkyRJkqS2prFl2tsDnbLtOhe1fwwcVaqkJEmSJKktarDASik9AjwSETenlN5sppwkSZIkqU1q6hcNbxQRvwR6FO+TUtq/FElJkiRJUlvU1ALrd8D1wP8By0qXjiRJkiS1XU0tsJamlK4raSaSJEmS1MY1tcD6Y0ScAdwF/GtFY0ppXkmykiSpCaa/8VaD/ZN3+qTRbSRJylNTC6zh2b+jitoSsEO+6UiSJElS29WkAiul1LPUiUiSJElSW9ekAisiTqyrPaV0S77pSJIkSWrLmjI1e12ewt3UKYKVRbc7AAcAzwEWWJIkSZKUaeoUwbOK70dEF2BcKRKSJEmSpLZqgzXcbxHgdVmSJEmSVKSp12D9kcKqgQBlwC7AHaVKSpIkSZLaoqZeg3VF0e2lwJsppbdLkI8kSZIktVlNmiKYUnoEmAF0BjYHPillUpIkSZLUFjWpwIqIrwHPAEcDXwOejoijSpmYJEmSJLU1TZ0i+D2gMqX0AUBEbAE8CEwoVWKSJEmS1NY0tcDaYEVxlZnLmq9AKElaRzT2JZHr8hdJSpJUl6YWWH+OiAeA32b3hwH3lSYlSZIkSWqbGiywIuLzQPeU0qiI+CqwT9b1JHBbqZOTJEmSpLaksRGsnwPfBUgp/R74PUBElGd9Xy5hbpIkSZLUpjRWYHVPKU2v3ZhSmh4RPUqTkiSpKbz+SZKkurXk/5GNFVhdGujrmGMeagLfTEmSJEmtW2MrAT4bEafWboyIU4CppUlJkiRJktqmxkaw/gu4KyKO598FVT+gPfCVEuYlSZIkSW1OgwVWSul9YO+I2A/olTX/KaX0cMkzkyRJkqQ2pknfg5VSmgRMKnEukiRJktSmNXYNliRJkiSpiZo0giVJktSa9Vhye4P9316+lBENbDMr53wkrb8cwZIkSZKknFhgSZIkSVJOnCIoSZKUA6cp+hxI4AiWJEmSJOXGAkuSJEmScuIUwSaa/sZbDfZP3umTRreRJEmStG6zwJIkSVoHrO31T+A1UFIeLLAkaQ04qi1JkuriNViSJEmSlBNHsCRJ0lpxapok/ZsjWJIkSZKUk5IVWBFxU0R8EBEvFLV9JiL+EhGvZv9unrVHRFwVETMj4vmI2L1on+HZ9q9GxPCi9j0iYnq2z1UREQ3FkCRJkqRSK+UI1s3AgbXaRgMPpZR2BB7K7gMcBOyY/ZwGXAeFYgm4ABgA9AcuKCqYrgNOLdrvwEZiSJIkSVJJlewarJTSoxHRo1bz4cDg7PZYYDLwnaz9lpRSAp6KiC4RsXW27V9SSvMAIuIvwIERMRnYNKX0VNZ+C3AEcH8DMbSWmrIimiunSZIkaX0WhZqmRAcvFFj3ppR6Zffnp5S6ZLcD+Cil1CUi7gUuSyn9Net7iEJRNBjokFIak7X/AFhMoWi6LKX0xax9X+A7KaVD64tRT36nURgxo3v37nuMGzeu/gczu6rBx7pwo23o9K93699g64oG92+Sls6hkfjNkcNLc19qsH+Lsi2Ys2xOvf27dt11reK3hhwai98aclgfzsNa/z5CyX8n/bvkeWiuHKa/s6DB/u4d4f3FDR+j/LObtWgOaxu/NeTgeWglOfg3oVW8Z2yO52C//fabmlLqV7u9xVYRTCmliChdddeEGCmlXwK/BOjXr18aPHhw/Qe78PAGY03e6SIG//2C+jc4tuFf9iZp6Rwaid8cOZw19qwG+0d2Gsl1C6+rt3/6kdPXKn5ryKGx+K0hh/XhPKz17yOU/HfSv0ueh+bKYcToPzXY/+3ypfx0esNvOWYdP7hFc1jb+K0hB89DK8nBvwmt4j1jSz4Hzb2K4PvZ1D+yfz/I2t8BtivabtusraH2betobyiGJEmSJJVUc49g3QMMBy7L/v1DUfu3ImIchQUtFqSUZkfEA8ClRQtbDAG+m1KaFxEfR8SewNPAicDVjcSQtA5p7Fo/rwfU+mRtv4dqVs75SNL6rGQFVkT8lsI1VN0i4m0KqwFeBtwREd8A3gS+lm1+H3AwMBP4J3ASQFZI/T9gSrbdxSsWvADOoLBSYUcKi1vcn7XXF0OSJEmSSqqUqwgeW0/XAXVsm4Az6znOTcBNdbQ/C/Sqo31uXTEkSZIkqdRabJELaU04LUySJLVmTtlVcy9yIUmSJEnrLAssSZIkScqJBZYkSZIk5cRrsCStNq+FkyRJqpsFlrSaWrq4aMqxLXCk5uMF7ZJaG/8utSynCEqSJElSTiywJEmSJCknFliSJEmSlBMLLEmSJEnKiQWWJEmSJOXEAkuSJEmScmKBJUmSJEk5scCSJEmSpJxYYEmSJElSTiywJEmSJCknFliSJEmSlJMNWzoBSZIkSeuOHktub3Sbby9fyogGtpuVYz7NzQJLktRmNfafeGP/gUPb/k9cktT6OEVQkiRJknJigSVJkiRJObHAkiRJkqScWGBJkiRJUk4ssCRJkiQpJxZYkiRJkpQTCyxJkiRJyokFliRJkiTlxC8aliRJkrROWdsvop+1FrEdwZIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUExe5kCStsZa8iFiSpNbIESxJkiRJyokFliRJkiTlxAJLkiRJknLiNViS1EZ5/ZMkSa2PBVYb4pspSZIkqXWzwGoiixtJkiRJjfEaLEmSJEnKiQWWJEmSJOXEAkuSJEmScmKBJUmSJEk5scCSJEmSpJxYYEmSJElSTiywJEmSJCknFliSJEmSlBO/aFiS1sDafvk4+AXkkiStixzBkiRJkqScWGBJkiRJUk6cIqgma2xKFDQ+LWpWjvlIkiRJrY0jWJIkSZKUEwssSZIkScqJUwQltUlru4rfrJzzkSRJAkewJEmSJCk3jmCpTXHUwsVGJEmSWjMLLGk1WeT5HEiSJNXHKYKSJEmSlBMLLEmSJEnKiQWWJEmSJOXEAkuSJEmScmKBJUmSJEk5scCSJEmSpJxYYEmSJElSTiywJEmSJCknFliSJEmSlJMWKbAiYlZETI+Iqoh4Nmv7TET8JSJezf7dPGuPiLgqImZGxPMRsXvRcYZn278aEcOL2vfIjj8z2zea/1FKkiRJWt+05AjWfimlipRSv+z+aOChlNKOwEPZfYCDgB2zn9OA66BQkAEXAAOA/sAFK4qybJtTi/Y7sPQPR5IkSdL6rjVNETwcGJvdHgscUdR+Syp4CugSEVsDQ4G/pJTmpZQ+Av4CHJj1bZpSeiqllIBbio4lSZIkSSUThRqkmYNGvAF8BCTghpTSLyNifkqpS9YfwEcppS4RcS9wWUrpr1nfQ8B3gMFAh5TSmKz9B8BiYHK2/Rez9n2B76SUDq0jj9MojIrRvXv3PcaNG1dvztPfWdDgY+reEd5fXH9/+Wc3a3D/pmjpHBqL3xpy8Dy0jhw8D43Hbw05eB5aRw6eh9aRg+ehdeTgeVg/noPWkEMe8ffbb7+pRbPxamzYeHolsU9K6Z2I2BL4S0TMKO5MKaWIKHnll1L6JfBLgH79+qXBgwfXu+2I0X9q8FjfLl/KT6fX/3TOOr7+YzdVS+fQWPzWkIPnoXXk4HloPH5ryMHz0Dpy8Dy0jhw8D60jB8/D+vEctIYcShm/RaYIppTeyf79ALiLwjVU72fT+8j+/SDb/B1gu6Ldt83aGmrfto52SZIkSSqpZi+wImKTiOi84jYwBHgBuAdYsRLgcOAP2e17gBOz1QT3BBaklGYDDwBDImLzbHGLIcADWd/HEbFnNtXwxKJjSZIkSVLJtMQUwe7AXdnK6RsCt6eU/hwRU4A7IuIbwJvA17Lt7wMOBmYC/wROAkgpzYuI/wdMyba7OKU0L7t9BnAz0BG4P/uRJEmSpJJq9gIrpfQ60KeO9rnAAXW0J+DMeo51E3BTHe3PAr3WOllJkiRJWg2taZl2SZIkSWrTLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKSfrbIEVEQdGxN8jYmZEjG7pfCRJkiSt+9bJAisiyoBrgIOAXYFjI2LXls1KkiRJ0rpunSywgP7AzJTS6ymlT4BxwOEtnJMkSZKkdVyklFo6h9xFxFHAgSmlU7L7JwADUkrfqrXdacBp2d2dgL+vRdhuwIdrsX8ezKHl45tD64jfGnJo6fjm0Drim0PriG8OrSO+ObSO+OaQX/ztU0pb1G7ccC0P2qallH4J/DKPY0XEsymlfnkcyxzabnxzaB3xW0MOLR3fHFpHfHNoHfHNoXXEN4fWEd8cSh9/XZ0i+A6wXdH9bbM2SZIkSSqZdbXAmgLsGBE9I6I9cAxwTwvnJEmSJGkdt05OEUwpLY2IbwEPAGXATSmlF0scNpephmvJHFo+PphDa4gPLZ9DS8cHc2gN8cEcWkN8MIfWEB/MoTXEB3Moafx1cpELSZIkSWoJ6+oUQUmSJElqdhZYkiRJkpQTCyxJkiRJysk6uchFc4iInYHDgc9mTe8A96SUXm65rJpX9hx8Fng6pbSwqP3AlNKfmymH/kBKKU2JiF2BA4EZKaX7miN+HfncklI6sSViZ/H3AfoDL6SUJjZTzAHAyymljyOiIzAa2B14Cbg0pbSgGXI4G7grpfSPUseqJ/6K1UrfTSk9GBHHAXsDLwO/TCl92kx57AB8lcLXVCwDXgFuTyl93BzxJUmSi1yskYj4DnAsMA54O2velsIbrHEppctaKjeAiDgppfTrEsc4GziTwhvICuCclNIfsr7nUkq7lzJ+FucC4CAKHxT8BRgATAK+BDyQUrqkxPFrL/0fwH7AwwAppcNKGT/L4ZmUUv/s9qkUzsldwBDgj83xWoyIF4E+2eqdvwT+CUwADsjav9oMOSwAFgGvAb8FfpdSmlPquEXxb6PwOtwYmA90An5P4TmIlNLwZsjhbOBQ4FHgYOBvWS5fAc5IKU0udQ6SJMkCa41ExCvAbrU/lc4+xX4xpbRjy2RWk8dbKaXPlTjGdGCvlNLCiOhB4Q31b1JK/xsRf0sp9S1l/KIcKoCNgPeAbYtGUZ5OKfUucfznKIzS/B+QKBRYv6VQaJNSeqSU8bMcap7riJgCHJxSmhMRmwBPpZTKmyGHl1NKu2S3VyquI6IqpVTRDDn8DdgD+CIwDDgMmErhfPw+pVRd4vjPp5R6R8SGFEazt0kpLYuIAKaV+rWY5TAdqMjibgzcl1IaHBGfA/7QHL+TUkMiYsuU0gctnUdLioiuKaW5LZ2Hmk9EbAZ8FzgC2JLC+4UPgD8Al6WU5rdYckBE3J9SOqjEMTal8BxsC9yfUrq9qO/alNIZpYyfxdkKuABYDvwQOAs4ksJAwTkppdl5xvMarDWzHNimjvats76Si4jn6/mZDnRvhhQ2WDEtMKU0CxgMHBQRV1IoNJrD0pTSspTSP4HXVkyDSiktpnnOQz8Kb+K/ByzIRggWp5QeaY7iKrNBRGweEV0pfGAyByCltAhY2kw5vBARJ2W3p0VEP4CI+ALQLFPjKEwTXZ5SmphS+gaF389rKUwZfb0Z4m+QfcDSmcIo1mZZ+0ZAu2aIv8KKad8bURhFI6X0VnPlEBGbRcRlETEjIuZFxNyIeDlr69IcOTSS3/3NEGPTiPhRRPwmmypa3HdtqeNncbaKiOsi4pqI6BoRF0bE9Ii4IyK2bqYcPlPrpyvwTPb36jPNEP/AotubRcSvsv8jb4+I5vg/kux13y273S8iXgeejog3I+I/myH+cxHx/Yj4j1LHaiCHfhExKSJujYjtIuIvEbEgIqZERLN86BMRnSLi4oh4MYs9JyKeiogRzREfuAP4CBicUvpMSqkrhdkuH2V9JRcRu9fzsweFD6pL7dcU3hveCRwTEXdGxEZZ357NEB/gZgofiv+DwmynxRRmezwGXJ93MK/BWjP/BTwUEa9SOFEAnwM+D3yrmXLoDgyl8AtaLIAnmiH++xFRkVKqAshGsg4FbgJKPmqS+SQiNs4KrD1WNGafFpW8wEopLQd+FhG/y/59n+b/ndqMQpEXQIqIrVNKsyOiE81X6J4C/G9EfB/4EHgyIv5B4XfjlGbKYaXHmo0u3wPck43mlNqvgBkUvtj8e8DvsjdTe1KYStwc/g+YEhFPA/sCPwaIiC2Aec2Uwx0UpsgOTim9l8XfChie9Q0pdQIRUd/05KD53ki8SuGNxMkRcSRwXErpXzTvG4k/AZtQeCNxG4U3EkdQeCNxeDPk8CHwZq22zwLPUfgEf4cSx78UWHEt8E+B2cCXKVyjeAOF56LUDkkpjc5uXw4My64X/gJwO4UP6Uppc6ALMCki3qMwoj8+pfRuieMWu5bCqEEXCu9Nzk0pfSkiDsj69mqGHG6jMHV+KPA1Cr8X44DvR8QXUkrnlzh+j5TSj4sbsr+PP46Ik0sce4UpwCPU/b6gSzPE/4+U0pHZ7bsj4nvAwxFR8kspinRPKV0NEBFnFJ2TqyPiG3kHc4rgGoqIDSgsJlC8yMWUlNKyZor/K+DXKaW/1tF3e0rpuDp2yzP+thRGkN6ro29gSunxUsbP4myUvWmp3d4N2DqlNL3UOdSKewgwsBn+WDcll40p/DF5oxljbgr0pFBkvp1Ser8ZY38hpfRKc8WrJ4dtAFJK72ajNV8E3kopPdOMOewG7EJhkZMZzRW3KP7fU0o7rW5fzjkso/43EnumlDqWOP5K02KzNxIHU5i2+pdmuj61eOrwSlPGa+dXwhy+TeF62FEr/hZHxBsppZ6ljp3FqpmuXMc5aa7n4GWgPLs+9amU0p5FfdNLPYW71nOwL4Vrx79KYUrUb1NKvyxl/CxuQ6/F5rqcYFpKqU/R/SkppcrsfdxLKaWdSxx/IvAgMHbF/4vZKOoI4EsppS+WMn4W7wXgKymlV+vo+0dKabsSx3+ZwqU1y4vaRgCjgE4ppe1LGT+LV/M6iIgxKaXvF/Xl/vvoCNYayl4kT7Vg/Hqr7VIXV1mMtxvoK3lxlcVZpbjK2j+k8Olps0op/YnCp8YtLhvVa7biKov5MTCtOWMWxW7R4irL4d2i2/MpXJfY3Dm8CLzY3HGLvBkR/0PdbySaa4XHl4HT63sj0QzxN4qIDVa8kUgpXRIR71BYfKRTM8SHlaf/31Krr6w5Ekgp/TQixlMY3f8HhVGM5vxEd8uIOI9Cob1pRET69yfKzXV5xLXAfRFxGfDniPhfCovf7A9UNVMOAKSUHgMei4izKBS+w4CSF1jAkogYQmG2RYqII1JKd2dTJJvlA2lgUUTsk1L6azZiMg8K7+MiojlmegyjsLruI9nfwwS8T2GWxdeaIT7AhdT/uj+rGeL/kcLr/sEVDSmlm7OR1aubIT7AHyKiU0ppYa3i6vPA3/MOZoElScpL8RuJLbO2FW8kjm6mHC7ENxLN+kaiPtkHcUdnb2r/QuH6xOZyI4VrIgHGAt2AOdmU1armSCCldHUUroseCXyBwnuuHYG7gf/XDCms8sFTNsvmz/x7+mSpfRP4CYVp+0OBkRFxM4VZP6c2Yw7/FxE7UvgA6mSomT59TamDp5Q+iohfU/gdeCrV+lobmuFcpJQmRMTO2dTMlb5aB1jSDPH/p674KaU/R2EF3JJLKf0wy2GlrxdKKc2MiP/LO55TBCVJJRfN8PURrT2Hlo7fkjlEYXXX/0gpvdDSz0NLx28NObR0/PUph2gdX2vTojlkI6ffaqn4LZGDBZYkqeRqX3+xPubQ0vHNoXXEbw05tHT89SmHaD1fa9NiObR0/JbIwSmCkqRcRMTz9XXRPF8f0eI5tHR8c2gd8VtDDi0d3xxqrPS1NhExGJgQEdvTfKv9tnQOLR2/2XOwwJIk5aWlvz6iNeTQ0vHNoXXEbw05tHR8cyhoDV9r09I5tHT8Zs/BAkuSlJd7KSy5W1W7IyImryc5tHR8c2gd8VtDDi0d3xwKTgSWFjeklJYCJ0bEDc0QvzXk0NLxmz0Hr8GSJEmSpJw013dBSJIkSdI6zwJLkiRJknJigSVJanERsbDW/RER8YtmzuHoiHg5IibVau8REcfllVtE3BwRb0TEtIh4JSJuiYht1yZ3SVLrYYElSVpnRcTqLOb0DeDUlNJ+tdp7AMetuvlaGZVS6gPsBPwNeDgi2uccQ5LUAiywJEmtWjaC9HBEPB8RD0XE57L2myPiqKLtFmb/Do6IxyLiHuClOo53bERMj4gXIuLHWdsPgX2AX0XE5bV2uQzYNyKqIuLcrG2biPhzRLwaET8pOvaQiHgyIp6LiN9FRKeGHlsq+BnwHnBQdozrIuLZiHgxIi7K2vaPiLuL4nwpIu5q0hMoSWpWFliSpNagY1bAVEVEFXBxUd/VwNiUUm/gNuCqJhxvd+CclNIXihsjYhvgx8D+QAVQGRFHpJQuBp4Fjk8pjap1rNHAYymliqwYItt3GIXvTxkWEdtFRDfg+8AXU0q7Z8c7r2kPn+eAnbPb30sp9QN6A/8ZEb2BScDOEbFFts1JFL6/RZLUylhgSZJag8VZAVORUqoAfljUtxdwe3b7NxRGmhrzTErpjTraK4HJKaU52Xeg3AYMWoN8H0opLUgpLaEwSrY9sCewK/B4ViQOz9qbIopufy0inqMwdXA3YNdU+E6V3wBfj4guFJ6T+9cgb0lSiflFw5Kktmop2QeFEbEBUHwN06ISx/5X0e1lFP4/DeAvKaVj1+B4fYGHIqIn8N9AZUrpo4i4GeiQbfNr4I/AEuB3WYEoSWplHMGSJLV2TwDHZLePBx7Lbs8C9shuHwa0a8KxnqEw7a5bRJQBxwKPNLJPNdC5Ccd+ChgYEZ8HiIhNIuILDe0QBWcDWwN/BjalUBwuiIjuZNdlAaSU3gXepTAN8ddNyEeS1AIssCRJrd1ZwEkR8TxwAnBO1n4jhWJpGoUpc42OWqWUZlO4pmoSMA2YmlL6QyO7PQ8sy5ZVP7e+jVJKc4ARwG+zXJ/k39dV1XZ5lvcrFKYt7pdS+iSlNI3C1MAZFKZFPl5rv9uAf6SUXm4kZ0lSC4nCtG5JktTaZd+/9beU0q9aOhdJUt0ssCRJagMiYiqFUbovpZT+1dj2kqSWYYElSZIkSTnxGixJkiRJyokFliRJkiTlxAJLkiRJknJigSVJkiRJObHAkiRJkqScWGBJkiRJUk4ssCRJkiQpJxZYkiRJkpQTCyxJkiRJyokFliRJkiTlxAJLkpogIvaNiL830H9zRIxpzpzyFhEXRsStLZ2H2q4o+HVEfBQRzzRxn3Xhd2dWRHyxpfOQ1DpYYEla5+Xx5iel9FhKaae8cqpPRAyOiLfraN8xIsZFxJyI+DgiXo2IqyNi21Ln1FQRcVxEPBsRCyNidkTcHxH7NEPcFBGfX4v9IyJej4iX8swrb9nreHFEVEfE/Ih4IiK+GRGt6f/yfYAvAdumlPrX7oyIERHx11IFj4jJ2euhT632u7L2wTnEaPMFoaTSak1/lCVJdciKh6eBd4G+KaVNgYHAaxTe0Na1z4bNlyFExHnAz4FLge7A54BrgcObM481NAjYEtghIirX5ADN+Hx/OaXUGdgeuAz4DvCrZordFNsDs1JKi1owh1eAE1fciYiuwF7AnBbLSNJ6xQJL0nplxSfoEXFFNo3pjYg4qKj/M9kUp3ez/ruz9pVGliKib0Q8l40mjAc61IpzaERUFY009C7qmxUR/x0Rz0fEgogYHxEdImIT4H5gm2wUaGFEbANcCDyeUjovpfQ2QErpg5TSz1NK44rzi4jvRMR7wK8jYvOIuDcb9foou71tUR49I+KR7DH8BehW6zHsmeU+PyKm1ffpf0RsBlwMnJlS+n1KaVFK6dOU0h9TSqOybTaKiJ9nz+u72e2Nis9JrWPWjEplIwbXRMSfslyfjoj/yPoezXaZlj1fwyKiW/ZY50fEvIh4rJFRnuHAH4D7stvFeewWEX/JjvN+RJyftV8YERMi4taI+BgYERHbRMQ92bYzI+LUouP0j8Lo3sfZca7M2jtkx5ib5TslIro3kCsAKaUFKaV7gGHA8IjolR3vkIj4WxbnHxFxYVEOf4qIs2o9vucj4itR8LOI+CDbd/qKY9ZW3+OMiG8A/wfslZ2Li2rttwtwfVH//KLuzes6v9l+Oxedg79HxNcaeXpuA4ZFRFl2/1jgLuCTomM29Hpc8bv07ez5mB0RJ2V9pwHHA/+TPYY/FsWtiFq/043kKWldlVLyxx9//Fmnf4BZwBez2yOAT4FTgTJgJIWRocj6/wSMBzYH2gH/mbUPBt7ObrcH3gTOzbY5KjvmmKy/L/ABMCCLMTzLYaOifJ4BtgE+A7wMfLN2nKL83wNGNPIYBwNLgR8DGwEdga7AkcDGQGfgd8DdRfs8CVyZbT8IqAZuzfo+C8wFDqbwYdyXsvtb1BH7wCz2hg3kdzHwFIWRoi2AJ4D/V3RO/lpr+wR8Prt9cxa7P7AhhTfQ4+raNrv/Iwpv5NtlP/uuOL915LUx8HH2OI8EPgTaZ32dgdnAtykU0J2BAVnfhdk5PyJ7fjoCj1IYtesAVFAYMdm/6Lk+IbvdCdgzu3068McsjzJgD2DTxl7HtdrfAkYWvQ7Ks5x6A+8DR2R9XwOeLtqvT/a8tgeGAlOBLkAAuwBb15NHQ49zlXNZa9+6znW95xfYBPgHcFLW1zc7R7vWc/zJwCnAROCgrO0ZCiNYbwODm/B6HEzh9XwxhdfPwcA/gc2L8h1Tx7mp83faH3/8Wf9+HMGStD56M6V0Y0ppGTAW2BroHhFbAwdReGP0USqMwjxSx/57Unjj9fNsmwnAlKL+04AbUkpPp5SWpZTGAv/K9lvhqpTSuymleRTeYFc0kG83CkUWABHxrWy0Y2FE3Fi03XLggpTSv1JKi1NKc1NKd6aU/plSqgYuAf4zO8bngErgB9n2j2Z5rPB14L6U0n0ppeUppb8Az1J4s1lbV+DDlNLSBh7D8cDFqTDyNge4CDihge1ruyul9EwW4zYafr4+pXBOt8/Oz2MppVTPtl+lcG4mUiiu2wGHZH2HAu+llH6aUlqSUqpOKT1dtO+TKaW7U0rLKZyjgcB3sm2rKIzmrJiq9inw+YjollJamFJ6qqi9K4UCcVlKaWpK6eOmPimZdym8qSelNDmlND07Z88DvyU758A9wBciYsfs/gnA+JTSJ1kenYGdKRSjL6eUZtcOFBHbNfI411R95/dQClMOf51SWppS+htwJ3B0I8e7BTgxInYGuqSUnqzV39jr8dOs/9OU0n3AQqCxazBX53da0jrMAkvS+qimWEkp/TO72QnYDpiXUvqokf23Ad6p9ab9zaLb2wPfzoqg+dlUqO2y/VbJgcKn450aiDeXQsGwIudfpJS6ULjmqV3RdnNSSktW3ImIjSPihoh4M5vG9ijQJZs6tQ3wUVr5Wpnaj+HoWo9hn+I8auXXLRq+DmmbWsd/k5Wfj8aszvN1OTATmBiFxStGN7DtcOCO7M37Egpv3ldME9yOwnVu9flH0e1tKLx2qova3qQwEgjwDeALwIxsGuChWftvgAeAcdlUtZ9ERPE5bYrPAvMAImJAREyKwrTQBcA3yaZ+Zo9vPPD1bMrksVl8UkoPA78ArgE+iIhfRsSmdcRq7HGuqfrO7/bAgFqvw+OBrRo53u+B/YFvkT3GWhp7Pc6t9YFBY6+5hh6DpPWMBZYk/ds/gM9ERJdGtpsNfDYioqjtc7WOc0lKqUvRz8Yppd82IYe6RloeojDSsrr7fpvCp+4DUmFhjEFZe2SPYfMoXPdV32P4Ta3HsElK6bI64j5JYRToiAZye5fCm+XiWO9mtxdRmCJXSC6isTfPDcpGmr6dUtoBOAw4LyIOqL1dFK5H259CwfFeFK5dOwo4OCK6UXgOdmgoVNHtdym8djoXtX0OeCfL6dWU0rEUpqT9GJgQEZtkIyQXpZR2BfamMGLT5NGgKCzK8VlgxTVst1MYqdoupbQZhamSxa/TsRQKlAOAfxaP7KSUrkop7QHsSqEYHFVHyAYfZxPUN5JYn38Aj9R6HXZKKY1sMEjhg5P7KUwBrqvAauj12JjVfQyS1jMWWJKUyaZE3Q9cG4UFItpFxKA6Nn2SwjUaZ2fbfJXC9SMr3Ah8MxtNiIjYJFt8oHMdx6rtfaBrFBaOWOFCYN+IuDIiPguQFQC7NHKszsBiYH5EfAa4oOixvklhyt9FEdE+Csupf7lo31uBL0fE0Igoi8JiDIOjjmXhU0oLgB8C10TEEdnIWbuIOCgifpJt9lvg+xGxRZb7D7MYANOA3SKiIlsY4MLGnqRa3qeoEIrCAiOfzwrgBcAyCtMnazuBwopzO1GYzlVBobB4m8Lozr3A1hHxX9miCJ0jYkBdCaSU/kHhOp4fZc9VbwqjVrdmOX09IrbIphPOz3ZbHhH7RUR5Nqr4MYWpaXXlupKI2DQbBRtH4bq56VlXZwojTEsioj9wXK08n8yO/1OKCo+IqMxer+0oFLxL6sqjscfZBO8D20ZE+yZufy+FaY0nZK+pdlmujb32Ac6ncA3lrDr6Gno9Nmal15sk1WaBJUkrO4HCm9wZFBaq+K/aG2TXrHyVwgX78yis5Pb7ov5nKSyi8QvgIwrT1UY0JXhKaQaFN3+vZ1OitkkpvUJhwYxtKayWVw08TuET9x80cLifU1h84UMKF/T/uVb/cdlx51Eovm4pyuMfFJZYP5/CIgb/oDCiUef/GymlnwLnAd8v2v5bwN3ZJmMoFHTPA9OB57I2ssd3MfAg8Cr/Ho1pqguBsdnz9TVgx+xYCykUw9emlCbVsd/wrO+94h8Koz7Ds2lwX6JQeL6X5bZfA3kcC/SgcF7uonA93INZ34HAixGxEPhf4JiU0mIKU90mUCiuXgYeoe4RlxX+mJ3/fwDfo7BIyUlF/WcAF2fb/BC4o45j3EJhIYzigmJTCh8MfERhutxcClMtV/dxNuZh4EXgvYj4sLGNs3MwBDgmi/ce/17IpbF9300p1fdaqvf12AS/AnbNXm93N3EfSeuRFatmSZKk9UBEnAicllIq+ZdAS9L6yBEsSZLWExGxMYVRrl+2dC6StK6ywJIkaT0QEUMpTN98n8JiGJKkEnCKoCRJkiTlxBEsSZIkScpJQ18KuV7p1q1b6tGjx2rts2jRIjbZZJPGN1wLxmh9cdaVGM0VxxitL44xWl+cdSVGc8UxRuuLs67EaK44xmh9cdYkxtSpUz9MKW2xSkdKyZ+U2GOPPdLqmjRp0mrvY4y2H2ddidFccYzR+uIYo/XFWVdiNFccY7S+OOtKjOaKY4zWF2dNYgDPpjrqCqcISpIkSVJOLLAkSZIkKScWWJIkSZKUExe5kCRJkprJp59+SqdOnXj55ZdLGmezzTZbJ2I0V5yGYnTo0IFtt92Wdu3aNelYFliSJElSM3n77bfp3r072267LRFRsjjV1dV07ty5ZMdvrhjNFae+GCkl5s6dy9tvv03Pnj2bdCynCEqSJEnNZMmSJWy22WYlLa6Un4iga9euLFmypMn7WGBJkiRJzcjiqm1Z3fNlgSVJkiRJObHAkiRJktqoTp06rdF+zz77LGeffXadfT169ODDDz9co+PefffdvPTSSyu1XXnlley8886Ul5fTp08fzjvvPD799NM1Oj7ArFmz6NWr1xrvX2oWWJIkSdJ6pl+/flx11VW5H7d2gXX99dczceJEnnrqKaZPn86UKVPYcsstWbx48Sr7Llu2LPd8WoIFliRJktTGTZ48mcGDB3PUUUex8847841vfIOUEgBTpkxh7733pk+fPvTv35/q6momT57MoYceCsDcuXMZMmQIu+22G6ecckrNfgC33nor/fv3p6KigtNPP72mCOrUqRMXX3wxffr0Yc899+T999/niSee4J577mHUqFFUVFTw2muvcckll3DdddfRpUsXANq3b8/o0aPZdNNNa47z7W9/mz59+vDkk09y8cUXU1lZSa9evTjttNNqcpk6dSp9+vShT58+XHPNNTX5LVu2jFGjRlFZWUnv3r254YYbSv5cN8YCS5IkSVoH/O1vf+PnP/85L730ErNmzeLxxx/nk08+YdiwYfzv//4v06ZN48EHH6Rjx44r7XfRRRexzz778OKLL/KVr3yFt956C4CXX36Z8ePH8/jjj1NVVUVZWRm33XYbAIsWLaKyspJp06YxaNAgbrzxRvbee28OO+wwLr/8cqqqqthiiy1YuHBhg8ubL1q0iAEDBjBt2jT22WcfvvWtbzFlyhReeOEFFi9ezL333gvASSedxNVXX820adNW2v9Xv/oVm222GVOmTGHKlCnceOONvPHGG3k+ravNAkuSJElaB/Tv359tt92WDTbYgN69ezNr1iz+/ve/s/XWW1NZWQnApptuyoYbrvxVuI8++ihf//rXATjkkEPYfPPNAXjooYeYOnUqlZWVVFRU8NBDD/H6668DhZGoAw88EIA99tiDWbNmNZrfAw88QEVFBT169OCJJ54AoKysjCOPPLJmm0mTJjFgwADKy8t5+OGHefHFF5k/fz7z589n0KBBAJxwwgk120+cOJFbbrmFiooKBgwYwNy5c3n11VfX5OnLjV80LEmSJK0DNtpoo5rbG2ywAUuXLl2r46WUGD58OD/60Y9W6WvXrl3N8uVlZWV1xtp0003p1KkTb7zxBj179mTo0KEMHTqUQw89lE8++QSADh06UFZWBhS+I+yMM87g2WefZbvttuPCCy9s9PunUkpcffXVDB06dK0ea54cwZIkSZLWUTvttBOzZ89mypQpAFRXV69SDA0aNIjbb78dgPvvv5+PPvoIgAMOOIAJEybwwQcfADBv3jzefPPNBuN17tyZ6urqmvvf/e53GTlyJPPnzwcKBVF9RdOK9m7durFw4UImTJgAQJcuXejSpQt//etfAWqmKQIMHTqU6667rmZVwldeeYVFixY18qyUliNYylX52PI620d2GslZY8+qs2/68OmlTEmSJGm91b59e8aPH89ZZ53F4sWL6dixIw8++OBK21xwwQUce+yx7Lbbbuy999587nOfA2DXXXdlzJgxDBkyhOXLl9OuXTuuueYatt9++3rjHXPMMZx66qlcddVVTJgwgZEjR9ZcZ7XRRhvRqVMnBg4cSN++fVfZt0uXLpx66qn06tWLrbbaqmZaI8Cvf/1rTj75ZCKCIUOG1LSfcsopzJo1i913352UEltssQV33333Wj5ra8cCS5IkSWqjFi5cCMDgwYMZPHhwTftPf/pTOnfuDEBlZSVPPfXUSvsVb9+1a1cmTpxY5/GHDRvGsGHD6oy7YqTqqKOO4qijjgJg4MCBq3wP1qhRoxg1alSD+a8wZswYxowZs1JbdXU1e+yxx0oLXPzkJz8BClMhL730Ui699NI6j98SnCIoSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUE1cRVJtT31LwUP9y8C4FL0mSpOZggSVJkiS1kB6j/5Tr8WZddkij25SVlVFeXk5KibKyMn7xi1+w9957r1G8H/7whwwaNIgvfvGLa7T/ilyWLl3KLrvswtixY9l4442bvP+7777L2WefzYQJE6iqquLdd9/l4IMPBuCee+7hpZdeYvTo0WuU25pyiqAkSZK0HunYsSNVVVVMmzaNH/3oR3z3u99d42NdfPHFa1xcFefywgsv0L59e66//vrV2n+bbbZhwoQJAFRVVXHffffV9B122GHNXlyBBZYkSZK03vr444/ZfPPNa+5ffvnlVFZW0rt3by644AIAZs2axS677MKpp57KbrvtxpAhQ1i8eDEAI0aMqClw7rvvPnbeeWf22GMPzj77bA499FAALrzwQk4++WQGDx7MDjvswFVXXVVnLvvuuy8zZ85k3rx5HHHEEfTu3Zs999yTF154AYBHHnmEiooKKioq6Nu3L9XV1cyaNYtevXrxySef8MMf/pDx48dTUVHB+PHjufnmm/nWt77FggUL2H777Vm+fDkAixYtYrvttuPTTz/ltdde48ADD2TQoEHsu+++zJgxY62fUwssSZIkaT2yePFiKioq2HnnnTnllFP4wQ9+AMDEiRN59dVXeeaZZ6iqqmLq1Kk8+uijALz66quceeaZvPjii3Tp0oU777xzpWMuWbKE008/nfvvv5+pU6cyZ86clfpnzJjBAw88wDPPPMNFF13Ep59+ulL/0qVLuf/++ykvL+eCCy6gb9++PP/881x66aWcfvrpAFxxxRVcc801VFVV8dhjj9GxY8ea/du3b8/FF1/MsGHDqKqqYtiwYTV9m222GRUVFTzyyCMA3HvvvQwdOpR27dpx2mmncfXVV/Poo49yxRVXcMYZZ6z182uBJUmSJK1HVkzLmzFjBn/+85858cQTSSkxceJEJk6cSN++fdl9992ZMWMGr776KgA9e/akoqICgD322INZs2atdMwZM2awww470LNnTwCOPfbYlfoPOeQQNtpoI7p168aWW27J+++/D/y72OvXrx+f+9zn+MY3vsFf//pXTjjhBAD2339/5s2bx8cff8zAgQM577zzuOqqq5g/fz4bbtj05SSGDRvG+PHjARg3bhzDhg1j4cKFPPHEExx99NEMHDiQ008/ndmzZ6/281mbi1xIkiRJ66m99tqLDz/8kDlz5pBS4rvf/W7NiNEKs2bNYqONNqq5X1ZWVjNFsKlq77906VLg38VeU4wePZpDDjmE++67j4EDB/LAAw/QoUOHJu172GGHcf755zNv3jymTp3K/vvvz6JFi+jSpQtVVVVUV1fTuXPn1XpM9XEES5IkSVpPzZgxg2XLltG1a1eGDh3KTTfdxMKFCwF45513+OCDD5p0nJ122onXX3+9ZmRrxWjRmth333257bbbAJg8eTJdu3Zl00035bXXXqO8vJzvfOc7VFZWrnK9VOfOnamurq7zmJ06daKyspJzzjmHQw89lLKyMjbddFN69uzJ7373OwBSSkybNm2N817BESxJkiSphTRlWfW8rZiWB4WiYuzYsZSVlTFkyBBefvll9tprL6BQlNx6662UlZU1esyOHTty7bXXcuCBB7LJJptQWVm5xvmtWBSjd+/ebLzxxjUrC/785z9n0qRJbLDBBuy2224cdNBBK03p22+//bjsssuoqKioc2XEYcOGcfTRRzN58uSatttuu42RI0dy8cUXs2zZMo455hj69OmzxrmDBZYkSZK0Xlm2bFm9feeccw7nnHPOKu0rVvID+O///m8Aqqurufnmm2va99tvP2bMmEFKiTPPPJN+/foBhYKpvmOtGC0r9pnPfIa777675v6KUamrr756lW179OhRc7zPfOYzTJkyZaX+ESNG1Nw+6qijSCmt1N+zZ0/+/Oc/O0VQkiRJUuty4403UlFRwW677caCBQtWuZZrfeEIliRJkqS1du6553Luuee2dBotzhEsSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTlxkQtJkiSppVy4Wc7HW9DoJmVlZZSXl9fcv/vuu+nRo0ed23bq1KnOpdQbM3jwYGbPnk2HDh3o1KkTN910EzvttNNqHePggw/m9ttvp7q6mt/85jecccYZALz77rucffbZTJgwYbXzag6OYEmSJEnrkY4dO1JVVVXzU19xtbZuu+02pk2bxvDhwxk1atRq73/ffffRpUsXFixYwLXXXlvTvs0227Ta4gossCRJkqT12sKFCznggAPYfffdKS8v5w9/+MMq28yePZtBgwZRUVFBr169eOyxxwCYOHEie+21F7vvvjtHH310naNdgwYNYubMmaSUGDVqFL169aK8vJzx48c3eOwePXrw4YcfcsEFF/Daa69RUVHBqFGjmDVrFr169QJgzz335MUXX6yJNXjwYJ599lkWLVrEySefTP/+/enbt2+dj6lULLAkSZKk9cjixYupqKigoqKCr3zlK3To0IG77rqL5557jkmTJvHtb3+blNJK+9x+++0MHTqUqqoqpk2bRkVFBXPnzmXMmDE8+OCDPPfcc/Tr148rr7xylXh//OMfKS8v5/e//33N/g8++CCjRo1i9uzZdR672EUXXcR//Md/UFVVxeWXX75S37Bhw7jjjjuAQqE2e/Zs+vXrxyWXXML+++/PM888w6RJkxg1ahSLFi3K94msh9dgSZIkSeuRFVMEV/j00085//zzefTRR9lggw145513eP/999lqq61qtqmsrOTkk0/m008/5YgjjqCiooL777+fl156iYEDBwLwySefsNdee9Xsc/zxx9OxY0d69OjB1VdfzZVXXsmxxx5LWVkZ3bt35z//8z+ZMmVKncduqq997WsMGTKEiy66iDvuuIOjjjoKKIys3XPPPVxxxRUALFmyhLfeeotddtllLZ65prHAkiRJktZjt912G3PmzGHq1Km0a9eOHj16sGTJkpW2GTRoEI8++ih/+tOfGDFiBOeddx4dOnTgS1/6Er/97W/rPW6/fv0ajV/XsU888cQm5f7Zz36Wrl278vzzzzN+/Hiuv/56AFJK3Hnnnau9sEYenCIoSZIkrccWLFjAlltuSbt27Zg0aRJvvvnmKtu8+eabdO/enVNPPZVTTjmF5557jsrKSh5//HFmzpwJwKJFi3jllVfqjbPvvvsyfvx4li1bxpw5c3j00Ufp379/nccu1qlTJ6qrq+s97rBhw/jJT37CggUL6N27NwBDhw7l6quvrpnq+Le//W21n5c15QiWJEmS1FKasKx6qR1//PF8+ctfpry8nH79+rHzzjuvss3kyZO5/PLLadeuHZ06deKWW26hW7du3HzzzRx77LH861//AmDMmDF84QtfqDPOV77yFZ588kn69OlDRPCTn/yErbbairFjx65y7GJdu3Zl4MCB9OrVi4MOOogzzzxzpf6jjjqKc845hx/84Ac1bT/4wQ/4r//6L3r37s3y5cvp2bMn995779o+VU1igSVJkiStR2qv9NetWzeefPLJBrcdPnw4w4cPX6mvurqa/fffnylTpqyy3+TJk1dpiwguv/zyVRaqqOvYALNmzaqJc/vtt6/U98ILL9Tc7t69O0uXLl2pv2PHjtxwww11PqZSc4qgJEmSJOWk5AVWRJRFxN8i4t7sfs+IeDoiZkbE+Ihon7VvlN2fmfX3KDrGd7P2v0fE0KL2A7O2mRExuqi9zhiSJEmSVErNMYJ1DvBy0f0fAz9LKX0e+Aj4Rtb+DeCjrP1n2XZExK7AMcBuwIHAtVnRVgZcAxwE7Aocm23bUAxJkiRJKpmSFlgRsS1wCPB/2f0A9gcmZJuMBY7Ibh+e3SfrPyDb/nBgXErpXymlN4CZQP/sZ2ZK6fWU0ifAOODwRmJIkiRJUslE7W9pzvXgEROAHwGdgf8GRgBPZSNLRMR2wP0ppV4R8QJwYErp7azvNWAAcGG2z61Z+6+A+7MQB6aUTsnaT6i1/Sox6sjvNOA0gO7du+8xbty41Xp8CxcupFOnTqu1z+pqazFemvtSne1blG3BnGVz6uzbteuudbavboyG4qxujIa0tXPS0nGM0friGKP1xVlXYjRXHGO0vjjrSozmiLPZZpvRs2dPysrKShYDYNmyZetEjOaK01iMmTNnsmDByis+7rffflNTSqt80VfJVhGMiEOBD1JKUyNicKnirI2U0i+BXwL069cvDR48eLX2nzx5Mqu7z+pqazHOGntWne0jO43kuoXX1dk3/cjpucRoKM7qxmhIWzsnLR3HGK0vjjFaX5x1JUZzxTFG64uzrsRojjgvv/wyZWVldO7cuWQxoLDy3roQo7niNBajQ4cO9O3bt0nHKuUy7QOBwyLiYKADsCnwv0CXiNgwpbQU2BZ4J9v+HWA74O2I2BDYDJhb1L5C8T51tc9tIIYkSZLUapSPLc/1eNOHN/yh8ty5cznggAMAeO+99ygrK2OLLbYA4JlnnqF9+zVbG65Hjx507tyZiGCrrbbilltuYauttlqtY+y999488cQTzJo1iyeeeILjjjsOgOeee44777yTq666ao1ya24luwYrpfTdlNK2KaUeFBapeDildDwwCTgq22w48Ifs9j3ZfbL+h1Nh/uI9wDHZKoM9gR2BZ4ApwI7ZioHtsxj3ZPvUF0OSJElab3Xt2pWqqiqqqqr45je/ybnnnltzv3379qt8n9TqmDRpEs8//zz9+vXj0ksvXe39n3jiCaDw/VfF33u1++67t5niClrme7C+A5wXETOBrsCvsvZfAV2z9vOA0QAppReBO4CXgD8DZ6aUlmWjU98CHqCwSuEd2bYNxZAkSZJUZMSIEXzzm99kwIAB/M///A8XXnghV1xxRU1/r169ar7099Zbb6V///5UVFRwzjnnsGzZslWON2jQIGbOnMmSJUs46aSTKC8vp2/fvkyaNAmAF198seYYvXv35tVXXwWoufZt9OjRPPbYY1RUVPCzn/2Mxx57jEMPPZTly5fTo0cP5s+fXxNrxx135P3332fOnDkceeSRVFZWUllZyeOPP16iZ6txpZwiWCOlNBmYnN1+ncIKgLW3WQIcXc/+lwCX1NF+H3BfHe11xpAkSZK0qrfffpsnnniCsrIyLrzwwjq3efnllxk/fjyPP/447dq145RTTuG2227jxBNPXGm7e++9l/Lycq655hoigunTpzNjxgyGDBnCK6+8wvXXX88555zD8ccfzyeffLJKkXbZZZdxxRVXcO+99wJw332Ft/sbbLABhx9+OHfddRcnnXQSTz/9NNtvvz3du3fnuOOO49xzz2WfffbhrbfeYujQobz88su0hGYpsCRJkiS1XkcffXSjK/U99NBDTJ06lcrKSgAWLVrEtttuW9O/3377UVZWRu/evRkzZgwnnXQSZ51VWJxs5513Zvvtt+eVV15hr7324pJLLuHtt9/mq1/9KjvuuGOT8xw2bBgXX3wxJ510EuPGjWPYsGEAPPjgg7z00r9Xmv7444+bbeXJ2iywJEmSpPXcJptsUnN7ww03ZPny5TX3lyxZAkBKieHDh/OjH/0IWHXlvUmTJtGtW7dGYx133HEMGDCAP/3pTxx88MHccMMN7L///k3Kc6+99mLmzJnMmTOHu+++m+9///sALF++nKeeeooOHTo06Til1BLXYEmSJElqpXr06MFzzz0HFFbwe+ONNwA44IADmDBhAh988AEA8+bN480336z3OPvuuy+33XYbAK+88gpvvfUWO+20E6+//jo77LADZ599NocffjjPP//8Svt17tyZ6urqOo8ZEXzlK1/hvPPOY5dddqFr164ADBkyhKuvvrpmu6qqqjV78DlwBEuSJElqIY0tq94SjjzySG655RZ22203BgwYwBe+8AUAdt11V8aMGcOQIUNYvnw5ZWVlXHfddWy//fZ1HueMM85g5MiRlJeXs+GGG3LzzTez0UYbcccdd/Cb3/yGdu3asdVWW3H++eevtF/v3r0pKyujT58+jBgxgp122mml/mHDhlFZWcnNN99c03bVVVdx5pln0rt3b5YuXcqgQYO4/vrr831imsgCS5IkSVoP1beYRceOHZk4cWKdfcOGDau57ql4iuCKVQaLdejQgV//+tertI8ePZrRo0ev0r5w4UIA2rVrx8MPP1zTXl1dzcEHH1xzv1+/fhS+menfunXrxvjx4+vMubk5RVCSJEmScmKBJUmSJEk5scCSJEmSmlHt6W1q3Vb3fFlgSZIkSc2kQ4cOLFiwwCKrjUgpMXfu3NVa/t1FLiRJkqRmsu222zJt2rSaBR1KZcmSJSX/TqjmiNFccRqK0aFDh5W+ULkxFliSJElSM2nXrh0LFy6kX79+JY0zefJk+vbt2+ZjNFecPGM4RVCSJEmScmKBJUmSJEk5cYrgeqR8bHmd7SM7jeSssWet0t4av1lckiRJas0cwZIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5WTDlk5Aaq3Kx5bX2T6y00jOGnvWKu3Th08vdUqSJElq5RzBkiRJkqScWGBJkiRJUk4ssCRJkiQpJxZYkiRJkpQTCyxJkiRJyomrCEpSkdVdPRJcQVKSJP2bI1iSJEmSlBMLLEmSJEnKiQWWJEmSJOXEAkuSJEmScmKBJUmSJEk5scCSJEmSpJxYYEmSJElSTiywJEmSJCknFliSJEmSlBMLLEmSJEnKyYYtnYAkNVX52PI620d2GslZY89apX368OmlTkmSJGkljmBJkiRJUk4ssCRJkiQpJxZYkiRJkpQTCyxJkiRJyokFliRJkiTlxAJLkiRJknJigSVJkiRJOfF7sCSpmdX3fV7gd3pJktTWOYIlSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJy4hcNS9I6qr4vNPbLjCVJKh1HsCRJkiQpJxZYkiRJkpQTCyxJkiRJyokFliRJkiTlxEUupBa0uosQgAsRSJIktWaOYEmSJElSTkpWYEVEh4h4JiKmRcSLEXFR1t4zIp6OiJkRMT4i2mftG2X3Z2b9PYqO9d2s/e8RMbSo/cCsbWZEjC5qrzOGJEmSJJVSKUew/gXsn1LqA1QAB0bEnsCPgZ+llD4PfAR8I9v+G8BHWfvPsu2IiF2BY4DdgAOBayOiLCLKgGuAg4BdgWOzbWkghiRJkiSVTMkKrFSwMLvbLvtJwP7AhKx9LHBEdvvw7D5Z/wEREVn7uJTSv1JKbwAzgf7Zz8yU0usppU+AccDh2T71xZAkSZKkkinpNVjZSFMV8AHwF+A1YH5KaWm2ydvAZ7PbnwX+AZD1LwC6FrfX2qe+9q4NxJAkSZKkkomUUumDRHQB7gJ+ANycTd0jIrYD7k8p9YqIF4ADU0pvZ32vAQOAC4GnUkq3Zu2/Au7PDn1gSumUrP2EWtuvEqOOvE4DTgPo3r37HuPGjVutx7Vw4UI6deq0WvusrjxjvDT3pTrbtyjbgjnL5qzSvmvXXevYOt8YaxKnvhgNxWmOx9Jan6+G+Bpe+xhrEmddeg3Xp629tlo6zroSo7niGKP1xVlXYjRXHGO0vjhrEmO//fabmlLqV7u9WZZpTynNj4hJwF5Al4jYMBth2hZ4J9vsHWA74O2I2BDYDJhb1L5C8T51tc9tIEbtvH4J/BKgX79+afDgwav1uCZPnszq7rO68oxR37LfIzuN5LqF163SPv3I1V8OfHVjrEmc+mI0FKc5Hktrfb4a4mt47WOsSZx16TVcn7b22mrpOOtKjOaKY4zWF2ddidFccYzR+uLkGaOUqwhukY1cEREdgS8BLwOTgKOyzYYDf8hu35PdJ+t/OBWG1+4BjslWGewJ7Ag8A0wBdsxWDGxPYSGMe7J96oshSZIkSSVTyhGsrYGx2Wp/GwB3pJTujYiXgHERMQb4G/CrbPtfAb+JiJnAPAoFEymlFyPiDuAlYClwZkppGUBEfAt4ACgDbkopvZgd6zv1xJAkSZKkkilZgZVSeh7oW0f76xRWAKzdvgQ4up5jXQJcUkf7fcB9TY0hSZIkSaVU0lUEJUmSJGl9YoElSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScWWJIkSZKUEwssSZIkScqJBZYkSZIk5cQCS5IkSZJyYoElSZIkSTmxwJIkSZKknFhgSZIkSVJOLLAkSZIkKScbtnQCWrdMf+OtOtsn7/RJvX2SJEnSusIRLEmSJEnKiQWWJEmSJOXEAkuSJEmScmKBJUmSJEk5aVKBFREDm9ImSZIkSeuzpq4ieDWwexPaJKlNa46VMBs6TnPEcVVPSZJKp8ECKyL2AvYGtoiI84q6NgXKSpmYJEmSJLU1jY1gtQc6Zdt1Lmr/GDiqVElJkiRJUlvUYIGVUnoEeCQibk4pvdlMOUmSJElSm9TUa7A2iohfAj2K90kp7V+KpCRJkiSpLWpqgfU74Hrg/4BlpUtHalxzLRAgSZIkra6mFlhLU0rXlTQTSZIkSWrjmlpg/TEizgDuAv61ojGlNK8kWakkXLJ59fh8SZIkaXU1tcAanv07qqgtATvkm44kSZIktV1NKrBSSj1LnYgkSZIktXVNKrAi4sS62lNKt+SbjiRJkiS1XU2dIlhZdLsDcADwHGCBJUmSJEmZpk4RPKv4fkR0AcaVIiFJkiRJaqs2WMP9FgFelyVJkiRJRZp6DdYfKawaCFAG7ALcUaqkJEmSJKktauo1WFcU3V4KvJlSersE+UiSJElSm9WkKYIppUeAGUBnYHPgk1ImJUmSJEltUZMKrIj4GvAMcDTwNeDpiDiqlIlJkiRJUlvT1CmC3wMqU0ofAETEFsCDwIRSJSZJkiRJbU1TVxHcYEVxlZm7GvtKkiRJ0nqhqSNYf46IB4DfZveHAfeVJiVJkiRJapsaLLAi4vNA95TSqIj4KrBP1vUkcFupk5PUdpSPLa+zfWSnkZw19qxV2qcPn17qlCRJkppdYyNYPwe+C5BS+j3we4CIKM/6vlzC3CRJrdzqFtZgcS1JWrc1dh1V95TSKv8TZm09SpKRpP/f3r3HS1WXix//PAICtVFMEa+Jncwb6FY3apq20VIz0zppZJ0EzUtkauqx7OrlWHmy4ynNNDuZmBfwZ2VmlqaJmqYChqBieQOvKWIi20AFnt8fs6DNZm+ua/bM3vvzfr3mxcx3rfk+z8x3ZjPPfNf6jiRJkrqoFRVYA5ezrX+JeUiSJElSl7eiAmtSRBzTtjEijgYmVyclSZIkSeqaVnQO1heBX0XEp/lXQdUErA18rIp5SSpJR+fIgAtQSJIklW25BVZmvgjsEREjgKFF828z849Vz0ySJEmSupiV+h2szLwduL3KuUiSJElSl7ayPzQsSTU37amn222fsPWbHW6TJEnqTCta5EKSJEmStJIssCRJkiSpJBZYkiRJklQSCyxJkiRJKokFliRJkiSVpGoFVkRsHhG3R8QjEfFwRJxUtL8jIv4QEY8V/65XtEdEXBARj0fE1IjYuVVfo4r9H4uIUa3ad4mIacV9LoiIWF4MSZIkSaqmas5gLQBOzcztgN2B4yNiO+B04LbM3Aq4rbgN8CFgq+JyLHAxVIol4AxgN2BX4IxWBdPFwDGt7ndA0d5RDEmSJEmqmqoVWJn5QmY+UFyfC0wHNgUOAcYWu40FPlpcPwS4IivuBQZGxMbA/sAfMvOVzPwH8AfggGLbOpl5b2YmcEWbvtqLIUmSJElVE5XapMpBIoYAdwJDgaczc2DRHsA/MnNgRNwInJuZfyq23QZ8GWgG+mXmOUX7N4B5wIRi/w8U7XsBX87MgyLi1fZitJPXsVRmyxg8ePAu48aNW6XH1dLSQkNDwyrdZ1WVGuOFKe3H6LsJDW88v+yGjRurH2N14nQQY7lxOuOxrEaMR2Y/0m77oF6DmLVwVrvbtlt/u1JiLC/OqsZYXpwyY/gaXkXd5DXckc74G9xZcbpLjM6KY4z6i9NdYnRWHGPUX5zViTFixIjJmdnUtr13aVl1ICIagF8AX8zM14rTpADIzIyIqlZ4y4uRmZcClwI0NTVlc3PzKvU9YcIEVvU+q6rUGGce0n6Mrc+i+a9nLLvh8DnVj7E6cTqIsdw4nfFYViPGCWNPaLd9TMMYLm65uN1t0z4+rZQYy4uzqjGWF6fMGL6GV1E3eQ13pDP+BndWnO4So7PiGKP+4nSXGJ0Vxxj1F6fMGFVdRTAi+lAprq7KzF8WzS8Wh/dR/PtS0f4csHmru29WtC2vfbN22pcXQ5IkSZKqppqrCAbwU2B6Zp7fatMNwOKVAEcBv27VfkSxmuDuwJzMfAG4GdgvItYrFrfYD7i52PZaROxexDqiTV/txZAkSZKkqqnmIYJ7Ap8BpkXElKLtq8C5wLUR8VlgJvCJYttNwIHA48A/gSMBMvOViPgvYGKx39mZ+Upx/fPA5UB/4HfFheXEkCRJkqSqqVqBVSxWER1s3red/RM4voO+LgMua6d9EpWFM9q2z24vhiRJkiRVU1XPwZIkSZKknsQCS5IkSZJKYoElSZIkSSWxwJIkSZKkklT9h4YldWzaU0+32z5h6zc73CZJkqT65QyWJEmSJJXEAkuSJEmSSmKBJUmSJEklscCSJEmSpJJYYEmSJElSSSywJEmSJKkkFliSJEmSVBILLEmSJEkqiT80rC5nyPyrO9x26qIFjG5n+4wq5iNJkiQt5gyWJEmSJJXEAkuSJEmSSuIhgpKk1TbtqafbbZ+w9ZsdbpMkqTtzBkuSJEmSSuIMlkrV0QIUHS0+AS5AIUmSpO7DGSxJkiRJKokFliRJkiSVxAJLkiRJkkpigSVJkiRJJXGRC6kDq7pgx4wq56Puo6PXFvj6kiSpq7PAkqRWXAlTkiStCQ8RlCRJkqSSWGBJkiRJUkk8RLAH8ZwiSZIkqbqcwZIkSZKkklhgSZIkSVJJLLAkSZIkqSQWWJIkSZJUEgssSZIkSSqJBZYkSZIklcQCS5IkSZJK4u9gSeoy/C03SZJU7yywJKmbsiCVJKnzeYigJEmSJJXEAkuSJEmSSmKBJUmSJEklscCSJEmSpJJYYEmSJElSSSywJEmSJKkkFliSJEmSVBILLEmSJEkqiQWWJEmSJJXEAkuSJEmSStK71glIPdmQ+Ve3237qogWM7mDbjCrmI0mSpDXjDJYkSZIklcQCS5IkSZJKYoElSZIkSSWxwJIkSZKkklhgSZIkSVJJLLAkSZIkqSQu0y5JWm3+1IAkSUtzBkuSJEmSSmKBJUmSJEklscCSJEmSpJJYYEmSJElSSSywJEmSJKkkFliSJEmSVBILLEmSJEkqiQWWJEmSJJXEAkuSJEmSSmKBJUmSJEklscCSJEmSpJJYYEmSJElSSSywJEmSJKkkFliSJEmSVBILLEmSJEkqSdUKrIi4LCJeioiHWrW9IyL+EBGPFf+uV7RHRFwQEY9HxNSI2LnVfUYV+z8WEaNate8SEdOK+1wQEbG8GJIkSZJUbdWcwbocOKBN2+nAbZm5FXBbcRvgQ8BWxeVY4GKoFEvAGcBuwK7AGa0KpouBY1rd74AVxJAkSZKkqqpagZWZdwKvtGk+BBhbXB8LfLRV+xVZcS8wMCI2BvYH/pCZr2TmP4A/AAcU29bJzHszM4Er2vTVXgxJkiRJqqqo1CdV6jxiCHBjZg4tbr+amQOL6wH8IzMHRsSNwLmZ+adi223Al4FmoF9mnlO0fwOYB0wo9v9A0b4X8OXMPKijGB3kdyyVGTMGDx68y7hx41bp8bW0tNDQ0LBK91lVZcaY9tycdtsH94cX5y3bPmzTdaseY3XidBRjeXE647HU6/P1yOxHOtw2qNcgZi2ctUz7dutvt0oxAHhhSrvNLX03oeGN55fdsHHjKofoLmPia3jV47SnM/4Gd1ac7hKjs+IYo/7idJcYnRXHGPUXZ3VijBgxYnJmNrVt711aVqsoMzMiqlfdrUSMzLwUuBSgqakpm5ubV6n/CRMmsKr3WVVlxhh9+m/bbT912AL+Z9qyL4UZn171uKsaY3XidBRjeXE647HU6/N1wtgTOtw2pmEMF7dcvEz7tI9PW6UYAJx5SLvNE7Y+i+a/nrHshsM7LjI60l3GxNfwqsdpT2f8De6sON0lRmfFMUb9xekuMTorjjHqL06ZMTp7FcEXi8P7KP59qWh/Dti81X6bFW3La9+snfblxZAkSZKkqursAusGYPFKgKOAX7dqP6JYTXB3YE5mvgDcDOwXEesVi1vsB9xcbHstInYvDgM8ok1f7cWQJEmSpKqq2iGCEXENlXOoNoiIZ6msBngucG1EfBaYCXyi2P0m4EDgceCfwJEAmflKRPwXMLHY7+zMXLxwxueprFTYH/hdcWE5MSRJkiSpqqpWYGXm4R1s2redfRM4voN+LgMua6d9EjC0nfbZ7cWQJEmSpGrr7EMEJUmSJKnbqtkqgpI6x7Snnu5w24St31zudkmSJK0aZ7AkSZIkqSQWWJIkSZJUEgssSZIkSSqJBZYkSZIklcQCS5IkSZJKYoElSZIkSSWxwJIkSZKkkvg7WJKkujZs7LB228c0jOGEsSe0u23aqGnVTEmSpA45gyVJkiRJJXEGS1Iphsy/ut32UxctYHQ722ZUOR9JkqRacAZLkiRJkkpigSVJkiRJJbHAkiRJkqSSWGBJkiRJUkkssCRJkiSpJBZYkiRJklQSl2mXurmOlk8Hl1CXJEkqmwWWJKnHGzZ2WIfbxjSM4YSxJyzTPm3UtGqmJEnqojxEUJIkSZJKYoElSZIkSSWxwJIkSZKkklhgSZIkSVJJXORCklTXpj31dLvtE7Z+s8NtkiTVijNYkiRJklQSCyxJkiRJKokFliRJkiSVxHOwJEmS1KP44+KqJmewJEmSJKkkFliSJEmSVBILLEmSJEkqiedgSZJ6vOX9npa/tyVJWhXOYEmSJElSSZzBqhMdrWbjSjaSJKledMbnlVWNsbpxpGpxBkuSJEmSSmKBJUmSJEklscCSJEmSpJJYYEmSJElSSVzkQpJU14bMv7rd9lMXLWB0B9tmVDEfSZKWxwJLkiSpi+to5T1wRWKps1lgSZIkSeoROuOnBjwHS5IkSZJK4gyWJEmSepRpTz3d4bYJW7+53O3SilhgSZJ6vI4W0oCOF9OYUcV8pHrVUeFhUSL9iwWWJEmSVAWdcb6P6o/nYEmSJElSSZzBkiRJPZYzDJLKZoFVJzymWZKkpVn89Ex+JlJXZ4ElSZIkqUfojALeAkuSJKmKVnUmDpyNk7oyC6wV6OiPIniIgiRJkqSluYqgJEmSJJXEGSxJktRjuaCCVB+601FjFliSJEld3PKKQYtFqXNZYK2Af7AkSZK0Opwh7ZkssCRJkiTVVHea1LDAkiSpk/jDuavGb/9X3pD5V3e47dRFCxjdzvYZVcxH3Ys/NbBqLLDqREd/GP2jKElS19adCkU/r/RM3ek13Blcpl2SJEmSSuIMliRJknoUD6lUNVlgSZLUSTzMpv54yJu6Os/tXDWd8Z63wJIkSVLdWNUPwFC/hW9nfJj3i5v6Y4G1Ak4hS5JUG91ldqk7FQySVsxFLiRJkiSpJM5gSZLUSbrLjIwkla07HTXmDJYkSZIklcQZLEmSJEkd8jzCVWOBJUmSJHVRHnpcf7rtIYIRcUBE/DUiHo+I02udjyRJkqTur1sWWBHRC7gI+BCwHXB4RGxX26wkSZIkdXfdssACdgUez8wnM/NNYBxwSI1zkiRJktTNddcCa1PgmVa3ny3aJEmSJKlqIjNrnUPpIuJQ4IDMPLq4/Rlgt8z8Qpv9jgWOLW5uDfx1FUNtALy8hukao+vF6S4xOiuOMeovjjHqL053idFZcYxRf3G6S4zOimOM+ouzOjG2yMxBbRu76yqCzwGbt7q9WdG2lMy8FLh0dYNExKTMbFrd+xuja8bpLjE6K44x6i+OMeovTneJ0VlxjFF/cbpLjM6KY4z6i1NmjO56iOBEYKuI2DIi1gY+CdxQ45wkSZIkdXPdcgYrMxdExBeAm4FewGWZ+XCN05IkSZLUzXXLAgsgM28CbqpymNU+vNAYXTpOd4nRWXGMUX9xjFF/cbpLjM6KY4z6i9NdYnRWHGPUX5zSYnTLRS4kSZIkqRa66zlYkiRJktTpLLAkSZIkqSQWWJIkSZJUEgusOhMR20TEvhHR0Kb9gBJj7BoRw4vr20XEKRFxYFn9dxDzimr2X8R4X/FY9iuxz90iYp3iev+IOCsifhMR/x0R65YU48SI2HzFe65RjLUj4oiI+EBx+1MR8cOIOD4i+pQY510R8Z8R8YOIOD8iPrf4+ZMkdV8RsWGtcyhDRKxf6xzU9VlglSAijiypnxOBXwMnAA9FxCGtNn+7pBhnABcAF0fEd4AfAm8HTo+Ir5UU44Y2l98A/774dhkxijj3t7p+DJXHMgA4IyJOLynMZcA/i+s/ANYF/rto+1lJMf4LuC8i7oqIz0fEMr8IXoKfAR8GToqInwOHAfcBw4H/KyNA8fq9BOhX9NuXyg9+3xsRzWXEUNfRXT5sgR+4ai0i1o2IcyPi0Yh4JSJmR8T0om1gJ8T/XUn9rBMR34mIn0fEp9ps+1FJMTaKiIsj4qKIWD8izoyIaRFxbURsXEaMIs472lzWB+6PiPUi4h0lxTig1fV1I+KnETE1Iq6OiMElxTg3IjYorjdFxJNU/j+eGRHvLyNG0fcDEfH1iPi3svpsJ0ZTRNweEVdGxOYR8YeImBMREyNip5JiNETE2RHxcNH3rIi4NyJGl9F/EaN3RBwXEb8vxntqRPyu+MK2tC+EV5DDmq8mmJle1vACPF1SP9OAhuL6EGAScFJx+y8lxugFvA14DVinaO8PTC0pxgPAlUAz8P7i3xeK6+8v8Xn/S6vrE4FBxfW3A9NKijG99eNqs21KWY+Dypcd+wE/BWYBvwdGAQNKijG1+Lc38CLQq7gdJY77tFb9vg2YUFx/Z1mv36K/dYFzgUeBV4DZwPSibWBZcVaQw+9K6mcd4DvAz4FPtdn2o5JibARcDFwErA+cWYzVtcDGJcV4R5vL+sAMYD3gHSU+7we0eR38FJgKXA0MLinGucAGxfUm4EngcWBmWX+/ir+RXwf+raznpp0YTcDtxd/izYE/AHOKv5U7lRinATgbeLjofxZwLzC6xBg3A18GNmrVtlHRdktJMXbu4LIL8EJJMX5RvL4+CtxQ3O67+DVRUozfU/mS9vTivfHlYvxPAH5d4pgsAp5qc3mr+PfJkmI80Or6/wHnAFsAJwPXlxRjWqvrtwPDi+vvASaV+Hw9BXwPeBq4v3gMm5TVfxHjfuBDwOHAM8ChRfu+wJ9LivFrYDSwGXAK8A1gK2As8O2SYlxD5f+s3Ys4mxXXLwbGl/h8tf1/q/X/X8+ucf9lDm53vhR/qNq7TAPeKCnGw21uNxR/LM+nxA/z7V0vbpcVY63ij8cfgMairZQ/uG3iPEjlA9z6bf8Qtn1saxDj/wFHFtd/BjQV198DTCwpRtvCrQ9wcPFHZlZJMR4C1i6er7kUH3qpzDZNLynGNP71YWG91mMCPFTiuFf9w1bRpx+4Vj5G1T9stX1O6MIfuOgmH7aK/jrjA9dfV2fbKsZYCPyxGPO2l3klxZjS5vbXgLup/B9W1vv9L62uP728+GsY59Tib8uwVm1PldV/0V/r93vb566Ux0Lly7nexfV722wr5Yvadh7LXsCPgL8Xr69jO2Hs/1JSjAfb3J5Y/LsW8GhJMf62OttWI85CKl+gtf5/a/HtN9e4/7IS7e4XKt/6Nxb/mbe+DAGeLynGHykKklZtvYErgIUlxbgPeFtxfa1W7euW9Qe+VZ+bUSlQftj2zV5S/zNavRmepPg2nkphOqWkGOsClwNPFM/dW0WsO4AdS4rxl+Vse1tJMU4u8p4JnAjcBvyESlF0RkkxTqLyAf4nVGaXFhemg4A7Sxz3qn/YKvryA9fKx6j6h62iz27xgYtu8mGr6KszPnDdAnyJVrOUwGAqXxbcWlKMh4CtOtj2TImvrbXatI2mMvs3s+zxAM5ps620gqHob/H/8edTOTy/1C9SgWepFO2nFv9/RattZR15cULx+tqHyuz+D6gcbXMW8PMSH8syf8+pHE10APCzkmL8mcqRMIdR+b/+o0X7+ynvy6F7gPcV1w8Gbm61rawvO+4tHkPrz6hrASOB+0ock8eAd3awbY3f873RyrqRyuF7U9puiIgJJcU4AljQuiEzFwBHRMSPS4qxd2a+UfS9qFV7HyqHpJUmM58FDouID1M5HLFUmTmkg02LgI+VFGMOMLpYqGFLKgXvs5n5Yhn9F0YuJ/4/O9q2KjLzfyNifHH9+agsOvIB4CeZef/y773SMX4QEbcC2wL/k5mPFu2zgL3LiFGYGRFfAsYuHofiePzRVL6pL8t04LjMfKzthogoK07fiFhr8XsxM78VEc8Bd1L5oqAMrc+1bbvYTK8yAmTm/xSvr/8tnpszgCyj7zY2jIhTqBzauk5ERBb/G1LeOcU/Am6KiHOB30fED4BfUvkANqWkGEtk5l3AXRFxAvBBKn8P1vz4f5gflQV/1gUyIj6amdcX55UsLKH/xV6PiPdl5p8i4mAqh+2SmYsiIkqKMZLKDOwdxXs9qXzpeQPwiZJinEnHr6ETSorxGyqvo1sXN2Tm5RHxd+DCkmL8OiIaMrMlM7++uDEi3g38taQYwFL/xx9M5YiVt5XZP5Uv6wYU18cCGwCzImIjSnovZuaFETENGENllro3lRnY66nMkJflb+3EXkjli6nflxTjc8B3qXwG2h8YExGXA88Bx5QUYwzwk4jYisoXA58FKM4dv6ikGJ+kcq77RRHxatE2kMoXUJ8sKQbA96kcbfN0O9u+u6adx7/+b5Kk+hcR61H5sHUIsHghhcUfts7NzH+UFOdQKt/4LvOhZPGH1RJifJfKYY23tmk/ALgwM7cqIcbZwHczs6VN+7upPF+HrmmMNv0eDHwVGJKZG5Xc9xltmn6UmYs/cH03M48oKU4zS3/geobKB67Lii+91rT/cZlZ5geF9mLsyL8+bJ1M5fGMoviwlZn3lBRnByqHay7+wHVUZv6t+MB1eGZeUFKcbajMmNzb+rUcEQdkZikfUIsYm1L5lryzY3woM8taTKPqj6NtHCpF+79l5kPdaEyq9nxV8bFsC2zSCTE2pbrvxd2ofJHyBLAN8F7gkcy8qYz+W8XZFcjMnBgR21GZUXy0lDhlTbV58eLFS60vFIcldoc4XTkGlUVzhjomPTdGmXGoHNb8VypF7gzgkFbbyjqUtjNinNAdYnSz56vqj6OTH8uj3SDGGVQOE5xEZRGo26ic23kn8LUSx6RtnD+WGaeUJL148eKlHi5U4Vy/WsUxRv3FMUZt4tB5K+wao47idJcY3emxdGKMqq523RlxPAdLUpcSEVM72kTlxPcuE8cY9RfHGHUZZ60sDkXKzBnFIZzXRcQWRRxjdG6MzorTXWJ0VpzuEmNBVs5P+2dEPJGZrxXx5kXEohXct27iWGBJ6moGUzmBt+25VkFlhaOuFMcY9RfHGPUX58WIaMxikanMbImIg6j8EPwwY3R6jM6K011idFac7hLjzYh4W1YW+dplcWNErEvlnNKyVDWOBZakrqYzVvTsrDjGqL84xqi/OJ2xwq4x6i9Od4nRWXG6S4zOWu26qnFcRVCSJEmSSlLW74ZIkiRJUo9ngSVJkiRJJbHAkiTVREQsjIgpEfFwRDwYEadGRFX/X4qI84p457Vpb46IPVrdvrz4senVjTMjIu5q0zYlIh5agz6/2ur6kDXpS5JUPS5yIUmqlXmZ2QgQERsCVwPrUPkByGo5FnhHsTxva81AC+WusDcgIjbPzGciYtsS+vsq8O0S+pEkVZEzWJKkmsvMl6gUP1+IiiERcVdEPFBc9gCIiCsi4qOL7xcRV0XEIa37Ku5/XkQ8FBHTImJk0X4D0ABMXtxWtA8BPgecXMwy7VVs2jsi7omIJ1vPZkXEaRExMSKmRsRZy3lY1wKL4xwOXNOqj34R8bMiv79ExIiifXRE/DIifh8Rj0XEd4v2c4H+RX5XFd30ioifFDNyt0RE/5V6siVJVWWBJUmqC5n5JNAL2BB4CfhgZu5MpUi5oNjtp8BoWPJ7JXsAv23T1b8DjcCOwAeA8yJi48w8mGLWLDPHt4o7A7gE+N9i2+JD+zYG3gccBJxbxNwP2ArYtYixS0Ts3cFD+kWRC8BHgN+02nZ8JXQOo1J8jY2IfsW2xuIxDwNGFrNgp7fK/dPFflsBF2Xm9sCrwMc7yEOS1IkssCRJ9agP8JOImAb8P2A7gMy8A9gqIgZRKUx+UfwOS2vvA67JzIWZ+SJwBzB8NXK4PjMXZeYjVH5QF2C/4vIX4AFgGyqFTntmA/+IiE8C04F/tsnxyuIxPQrMBN5TbLstM+dk5nzgEWCLDvp/qtXvT00GhqzSo5MkVYXnYEmS6kJEvAtYSGX26gzgRSqzUGsB81vtegXwH8AngSOrmNIbrdNr9e93MnNlf1RzPHARxazbasRdSMf/V7fdz0MEJakOOIMlSaq5YkbqEuCHmZnAusALmbkI+AyVQwcXuxz4IkAxu9TWXVQOretV9Ls3cP8KUpgLDFiJVG8GjoqIhiLvTYsFOjryK+C7xf3a5vjpoo/3AO8E/rqC2G9FRJ+VyFGSVEMWWJKkWlm8aMPDwK3ALcDiRSN+BIyKiAepHIb3+uI7FYf9TQd+1kG/vwKmAg8CfwS+lJl/X0EuvwE+1maRi2Vk5i1UVjv8c3H44nUspzDLzLmZ+d+Z+WabTT8C1ir6GA+Mzsw3lu1hKZcCU1stciFJqkNR+aJQkqSuISLeBkwDds7MObXOR5Kk1pzBkiR1GRHxASqzVxdaXEmS6pEzWJIkSZJUEmewJEmSJKkkFliSJEmSVBILLEmSJEkqiQWWJEmSJJXEAkuSJEmSSmKBJUmSJEklscCSJEmSpJJYYEmSJElSSSywJEmSJKkkFliSJEmSVBILLElaCRGxV0T8dTnbL4+Iczozp7JFxJkRcWWt81B9iYiMiHdXOcbWETElIuZGxIn1kpckrQ4LLEndXkTMiIgPrEkfmXlXZm5dVk4diYjmiHi2nfatImJcRMyKiNci4rGIuDAiNqt2TisrIj4VEZMioiUiXoiI30XE+zoh7hp90I6KJyPikTLzKlvxOn4zIjZo0/6X4jkYUkKMCRFx9Jr2sxq+BNyemQMy84LOyisi+hfvpVFt2r8ZEXdHhJ+TJK0y/3BIUp0riof7gOeBnTJzHWBP4Amg3QImInp3XoYQEacA3we+DQwG3gn8CDikM/NYTXsDGwLviojhq9NBJz7fTwGHt4o7DHhbJ8Wupi2Ahzs7aGbOAz4LfC8iBgNExLbAqcBnM3NRGXE6+/0oqbYssCT1KBExOiL+FBHfi4h/RMRTEfGhVtvfERE/i4jni+3XF+1LzSxFxE4R8UBxSNN4oF+bOAcVhzy9GhH3RMQOrbbNiIj/jIipETEnIsZHRL+IeDvwO2CTYhaoJSI2Ac4E7s7MUzLzWYDMfCkzv5+Z41rnFxFfjoi/Az+LiPUi4sZi1usfxfXNWuWxZUTcUTyGPwBtZ0Z2L3J/NSIejIjmDp7TdYGzgeMz85eZ+XpmvpWZv8nM04p9+kbE94vn9fniet/WY9KmzyWzUlE5/PKiiPhtket9EfFvxbY7i7s8WDxfIyNig+KxvhoRr0TEXSuYiRgF/Bq4qbjeOo/tI+IPRT8vRsRXi/YzI+K6iLgyIl4DRkfEJhFxQ7Hv4xFxTKt+do3K7N5rRT/nF+39ij5mF/lOXPxBvwM/B45ok/sVbccjIq4oxn1mRHx98eNf3us/Ir4F7AX8sHguf9iq2w9EZabn1WIsorjPu4vX0JyIeLl4L7QrIg6OiIeLPiZEpZAhIv4IjGgV9z1t7rfKeRX3OyoipheP8+aI2KK9vDLzTuDaov8A/g/4TmY+urw+IuIHEfFMMaaTI2KvVtuWeX109LxI6oYy04sXL1669QWYAXyguD4aeAs4BugFjKEyMxTF9t8C44H1gD7A+4v2ZuDZ4vrawEzg5GKfQ4s+zym27wS8BOxWxBhV5NC3VT73A5sA7wCmA59rG6dV/n8HRq/gMTYDC4D/BvoC/YH1gY9TmeEYAPw/4PpW9/kzcH6x/97AXODKYtumwGzgQCpfxn2wuD2ondgHFLF7Lye/s4F7qcwUDQLuAf6r1Zj8qc3+Cby7uH55EXtXoDdwFTCuvX2L298BLinGpg+VD+fRQV5vA14rHufHgZeBtYttA4AXqMxm9Ctu71ZsO7MY848Wz09/4E4qs3b9gEZgFrBPq+f6M8X1BmD34vpxwG+KPHoBuwDrLO91DPwV2LbY/1kqsz8JDCn2u4JKwTgAGAL8jcpszOLnenmv/wnA0e2MxY3AQCozk7OAA4pt1wBfK56DfsD7Osj9PcDrVF5HfagcEvh4q+d6mbht7r+qeR1S9L8tldfM14F7ltN/Q/H8/hKYVDw3y+0D+A8q77HexWvk70C/jl4ftf476MWLl867OIPVSkRcFhEvRcRDK7n/JyLikeIbuaurnZ+k0szMzJ9k5kJgLLAxMDgiNgY+RKXY+UdWZmHuaOf+u1P5kPj9Yp/rgImtth8L/Dgz78vMhZk5FnijuN9iF2Tm85n5CpUP2I3LyXcDKh/eAIiILxTf2LdExE9a7bcIOCMz38jMeZk5OzN/kZn/zMy5wLeA9xd9vBMYDnyj2P/OIo/F/gO4KTNvysxFmfkHKh88D2wnv/WBlzNzwXIew6eBs7My8zYLOAv4zHL2b+tXmXl/EeMqlv98vUVlTLcoxueuzMwO9v13KmNzC5Xiug/w4WLbQcDfM/N/MnN+Zs7NzPta3ffPmXl9Vg4j24DKYZtfLvadQmUmZPFs01vAuyNig8xsycx7W7WvT6VAXJiZkzPztRU8F4tnsT5IpTh/bvGGiOgFfBL4SpHvDOB/WPq5bvf1v4KY52bmq5n5NHA7/3r+36JS4G1SPO4/dXD/kcBvM/MPmfkW8D0qRekeK4i7Ih3l9Tkqs1DTi9fMt4HG5cxitQDHAx+jUowuXFEfmXll8R5bkJn/Q+WLitbnaS55fWTlUERJPYQF1tIup/JN7ApFxFbAV4A9M3N74IvVS0tSyZYUK5n5z+JqA7A58Epm/mMF998EeK7Nh/aZra5vAZxaFEGvRsSrRd+btJcD8M8ifkdmU/kQvDjnH2bmQCrnPPVptd+szJy/+EZEvC0iflwcJvYalRmWgcWH8E2Af2Tm68t5DIe1eQzva51Hm/w2iOWfZ7JJm/5nsvTzsSKr8nydR2Xm4ZaoLF5x+nL2HQVcW3xIng/8gn8dJrg5lfPcOvJMq+ubUHntzG3VNpPKTCBUzvN5D/BocRjgQUX7z4GbgXFROXTyuxHRekzb83PgU1Rmo65os20DKq+Jts/1pq1ud/T6X56Onv8vAQHcX3zZeFQH919q/Iui9Jk2ea2OjvLaAvhBq9fuK0Wey4v3cJt/l9tHVA7znV4cHvkqsC5LH2bb+vUhqQexwGql+Ab3ldZtEfFvEfH74vjquyJim2LTMcBFiz+IZeZLnZyupPI9A7wjIgauYL8XgE1bn+9B5RCl1v18KzMHtrq8LTOvWYkc2ptpuY3KTMuq3vdUKt+o75aVhTH2LtqjeAzrReW8r44ew8/bPIa3Z+a57cT9M5VZoI8uJ7fnqXxgbR3r+eL667RaqCEiNlpOPytUzNycmpnvAg4GTomIfdvuF5Xz0fYB/iMi/h6Vc9cOBQ6Mykp9zwDvWl6oVtefp/LaGdCq7Z0Us0uZ+VhmHk7lEMn/Bq6LiLcXM2xnZeZ2VGZzDmLpc6zae3wzqSx2cSCVQ9pae5l/zSotk8dK6Gimr6Nc/p6Zx2TmJlQOd/xRtL+i41LjX7x3Nq9WXlTG7rg2r9/+mXlPGX0U51t9CfgEsF7xhcccKu+t1c1ZUjdhgbVilwInZOYuwH9SOb4eKt9Evicqy7jeGxErNfMlqX5l5gtUFpn4UVQWiOgTEXu3s+ufqZxzdGKxz79TOT9osZ8An4uI3aLi7RHx4TYfvjvyIrB+VBaOWOxMYK+IOD8iFn97vgGVc0OWZwAwD3g1It4BnNHqsc6kcsjfWRGxdlSWU/9Iq/teCXwkIvaPiF5RWYyhOdpZFj4z5wDfBC6KiI8WM2d9IuJDEfHdYrdrgK9HxKAi928WMQAeBLaPiMaI6Fc83lXxIq0KoagsMPLu4kP8HGAhlcMn2/oMlfOTtqZyaFkjlb/tz1JZqe9GYOOI+GJUFukYEBG7tZdAZj5D5byy7xTP1Q5UZq2uLHL6j4gYVMzcvFrcbVFEjIiIYcWs4mtUiqOVWbnus1TO72o9A0lxaNu1wLeKfLcATuFfz/WKLPVcrkhEHNbqNfEPKkVFe/lfC3w4IvYtZuhOpVKUr2zBs0p5UTkH7ysRsX2R57oRcdgq3H9FfQyg8jdgFtA7Ir4JrLOK/UvqpiywliMiGqh8o/j/ImIK8GP+dXhMb2ArKieWHw78ZCW+9ZZU/z5D5UPuo1QWqvhi2x0y800qM0qjqcx6j6TVTEJmTqIyy/1DKh86H2clVxHLzEepFCNPFocmbZKZf6OyYMZmVFbLmwvcTWVW4BvL6e77VM5zeZnKAhO/b7P9U0W/r1ApvpYcblYUDIcAX6XyIfIZ4DQ6+H+jOAflFCoLASze/wvA9cUu51Ap6KYC04AHijaKx3c2cCvwGNDReTwdORMYWzxfn6Dyt/lWoIVKMfyjzLy9nfuNKrb9vfWFygfrUcXhfh+kUnj+vchtxHLyOJzKohLPA7+icj7crcW2A4CHI6IF+AHwyeK8nI2A66gUV9OBO6gcArhcmflE8TprzwlUZgWfpPJcXg1ctqI+Cz8ADo3KqnnL/B5VO4YD9xWP6wbgpMx8sp18/0rlvL4LqbwePwJ8pHgvlZ5XZv6KykzhuKgcHvsQlfMrV9oK+riZyvvpb1QOfZyPhwRKKixeNUiFqPxQ442ZOTQi1gH+mpnLnHMQEZcA92Xmz4rbtwGnZ+bEtvtKkiRJ6hmcwVqOYiWnpxYfElAc6rNjsfl6KrNXiw/VeQ+VbwslSZIk9VAWWK1ExDVUDifZOio/2PlZKksLfzYiHqSystAhxe43A7Mj4hEqS8Oelpmza5G3JEmSpPrgIYKSJEmSVBJnsCRJkiSpJMv7UcgeZYMNNsghQ4bUOo018vrrr/P2t799xTuqqhyH+uA41AfHoT44DvXBcagPjkN96A7jMHny5Jczc1DbdguswpAhQ5g0qaMVb7uGCRMm0NzcXOs0ejzHoT44DvXBcagPjkN9cBzqg+NQH7rDOETEzPbaPURQkiRJkkpigSVJkiRJJbHAkiRJkqSSeA6WJEmS1Eneeustnn32WebPn1/rVGpq3XXXZfr06bVOY6X069ePzTbbjD59+qzU/hZYkiRJUid59tlnGTBgAEOGDCEiap1OzcydO5cBAwbUOo0Vykxmz57Ns88+y5ZbbrlS9/EQQUmSJKmTzJ8/n/XXX79HF1ddSUSw/vrrr9KMowWWJEmS1IksrrqWVR0vCyxJkiRJKokFliRJktRFNTQ0rNb9Jk2axIknntjutiFDhvDyyy+vVr/XX389jzzyyFJt559/Pttssw3Dhg1jxx135JRTTuGtt95arf4BZsyYwdChQ1f7/tVmgSVJkiT1ME1NTVxwwQWl99u2wLrkkku45ZZbuPfee5k2bRoTJ05kww03ZN68ecvcd+HChaXnUwsWWJIkSVIXN2HCBJqbmzn00EPZZptt+PSnP01mAjBx4kT22GMPdtxxR3bddVfmzp3LhAkTOOiggwCYPXs2++23H9tvvz1HH330kvsBXHnlley66640NjZy3HHHLSmCGhoa+NrXvsaOO+7I7rvvzosvvsg999zDDTfcwGmnnUZjYyNPPPEE3/rWt7j44osZOHAgAGuvvTann34666yzzpJ+Tj31VHbccUf+/Oc/c/bZZzN8+HCGDh3KscceuySXyZMns+OOO7Ljjjty0UUXLclv4cKFnHbaaQwfPpwddtiBH//4x1V/rlfEAkuSJEnqBv7yl7/w/e9/n0ceeYQnn3ySu+++mzfffJORI0fygx/8gAcffJBbb72V/v37L3W/s846i/e97308/PDDfOxjH+Ppp58GYPr06YwfP567776bKVOm0KtXL6666ioAXn/9dXbffXcefPBB9t57b37yk5+wxx57cPDBB3PeeecxZcoUBg0aREtLy3KXN3/99dfZbbfdePDBB3nf+97HF77wBSZOnMhDDz3EvHnzuPHGGwE48sgjufDCC3nwwQeXuv9Pf/pT1l13XSZOnMjEiRP5yU9+wlNPPVXm07rKLLAkSZKkbmDXXXdls802Y6211qKxsZEZM2bw17/+lY033pjhw4cDsM4669C799I/hXvnnXfyH//xHwB8+MMfZr311gPgtttuY/LkyQwfPpzGxkZuu+02nnzySaAyE7V4BmyXXXZhxowZK8zv5ptvprGxkSFDhnDfffcB0KtXLz7+8Y8v2ef2229nt912Y9iwYfzxj3/k4Ycf5tVXX+XVV19l7733BuAzn/nMkv1vueUWrrjiChobG9ltt92YPXs2jz322Oo8faXxh4YlSZKkbqBv375Lrvfq1YsFCxasUX+ZyahRo/jOd76zzLY+ffosWb68o1jrrLMODQ0NPPXUU2y55Zbsv//+7L///hx00EG8+eabAPTr149evXoBld8I+/znP8+kSZPYfPPNOfPMM1f4+1OZyYUXXsj++++/Ro+1TM5gSZIkSd3U1ltvzQsvvMDEiRMBmDt37jLF0N57783VV18NwO9+9zv+8Y9/ALDvvvty3XXX8dJLLwHwyiuvMHPmzOXGGzBgAHPnzl1y+ytf+Qpjxozh1VdfBSoFUUdF0+L2DTbYgJaWFq677joABg4cyMCBA/nTn/4EsOQwRYD999+fiy++eMmqhH/72994/fXXV/CsVJczWJIkSVI3tfbaazN+/HhOOOEE5s2bR//+/bn11luX2ueMM87g8MMPZ/vtt2ePPfbgne98JwDbbbcd55xzDvvttx+LFi2iT58+XHTRRWyxxRYdxvvkJz/JMcccwwUXXMB1113HmDFjlpxn1bdvXxoaGthzzz3ZYYcdlrnvwIEDOeaYYxg6dCgbbbTRksMaAX72s59x1FFHERHst99+S9qPPvpoZsyYwc4770xmMmjQIK6//vo1fNbWTLReJaQna2pqykmTJtU6jTWyePUY1ZbjUB8ch/rgONQHx2HFho0dVvUYYxrGcHHLxVXrf9qoaVXruzup9fth+vTpbLvttjWLXy/mzp3LgAEDap3GSmtv3CJicmY2td3XQwQlSZIkqSQWWJIkSZJUEgssSZIkSSqJBZYkSZIklcQCS5IkSZJKYoElSZIkSSXxd7AkSZKkGhly+m9L7W/GuR9e4T69evVi2LBhZCa9evXihz/8IXvsscdqxfvmN7/J3nvvzQc+8IHVuv/iXBYsWMC2227L2LFjedvb3rbS93/++ec58cQTue6665gyZQrPP/88Bx54IAA33HADjzzyCKeffvpq5ba6nMGSJEmSepD+/fszZcoUHnzwQb7zne/wla98ZbX7Ovvss1e7uGqdy0MPPcTaa6/NJZdcskr332STTbjuuusAmDJlCjfddNOSbQcffHCnF1fQhQusiOgVEX+JiBvb2dY3IsZHxOMRcV9EDKlBipIkSVJde+2111hvvfWW3D7vvPMYPnw4O+ywA2eccQYAM2bMYNttt+WYY45h++23Z7/99mPevHkAjB49ekmBc9NNN7HNNtuwyy67cOKJJ3LQQQcBcOaZZ3LUUUfR3NzMu971Li644IJ2c9lrr714/PHHeeWVV/joRz/KDjvswO67787UqVMBuOOOO2hsbKSxsZGddtqJuXPnMmPGDIYOHcqbb77JN7/5TcaPH09jYyPjx4/n8ssv5wtf+AJz5sxhiy22YNGiRQC8/vrrbL755rz11ls88cQTHHDAAeyyyy7stddePProo2v8nHbZAgs4CZjewbbPAv/IzHcD/wv8d6dlJUmSJNWxefPm0djYyDbbbMPRRx/NN77xDQBuueUWHnvsMe6//36mTJnC5MmTufPOOwF47LHHOP7443n44YcZOHAgv/jFL5bqc/78+Rx33HH87ne/Y/LkycyaNWup7Y8++ig333wz999/P2eddRZvvfXWUtsXLFjA7373O4YNG8YZZ5zBTjvtxNSpU/n2t7/NEUccAcD3vvc9LrroIqZMmcJdd91F//79l9x/7bXX5uyzz2bkyJFMmTKFkSNHLtm27rrr0tjYyB133AHAjTfeyP7770+fPn049thjufDCC5k8eTLf+973+PznP7/Gz2+XLLAiYjPgw8D/dbDLIcDY4vp1wL4REZ2RmyRJklTPFh+W9+ijj/L73/+eI444gszklltu4ZZbbmGnnXZi55135tFHH+Wxxx4DYMstt6SxsRGAXXbZhRkzZizV56OPPsq73vUuttxySwAOP/zwpbZ/+MMfpm/fvmywwQZsuOGGvPTSS8C/ir2mpibe+c538tnPfpY//elPfOYznwFgn332Yfbs2bz22mvsueeenHLKKVxwwQW8+uqr9O698stJjBw5kvHjxwMwbtw4Ro4cSUtLC/fccw+HHXYYjY2NHHfccbzwwgur/Hy21VUXufg+8CVgQAfbNwWeAcjMBRExB1gfeLn1ThFxLHAswODBg5kwYUKV0u0cLS0tXf4xdAeOQ31wHOqD41AfHIcVG9MwpuoxBvUaVNU4jvHKqfX7Yd1112Xu3LlV639l+16839ChQ5k1axZPPfUUb7zxBieffDJHHXXUUvvOnDmTPn36LLnPggULeP3115k7dy5vvfUW8+bN4/XXX2fhwoVL9pk3bx4LFixg7ty5vPHGG0vdPyJ48803mTt3Lv379+euu+5aEuuNN95g0aJFtLS0LNk/M5k7dy7HH388zc3N3HLLLeyxxx786le/om/fvixatIi5c+cyf/78Jf0CS90eMWIEX/nKV5g5cyaTJk1i+PDhzJkzh3XXXXep+B09h/Pnz1/p102XK7Ai4iDgpcycHBHNa9JXZl4KXArQ1NSUzc1r1F3NTZgwga7+GLoDx6E+OA71wXGoD47Dip0w9oSqxxjTMIaLWy6uWv/TPj6tan13J7V+P0yfPp0BAzqaI1hzK9v34v0effRRFi1axBZbbMFHPvIRvvGNb/DZz36WhoYGnnvuOfr06UNDQwNrrbXWkvv07duXt956iwEDBtCnTx/69+/PzjvvzMyZM5k9ezZDhgzhhhtuoHfv3gwYMIC+ffvSt2/fJfdfa621luqvbc7vf//7+fWvf803vvENJkyYwKBBg9h000154okn2H333Zecl/XMM8/Q2Ni4pK9BgwbxxhtvLOmvX79+rL322gwYMIABAwaw66678vWvf52PfOQjDBw4kIEDB/Kud72L3//+9xx22GFkJlOnTmXHHXdc5vnq168fO+2000o9t12uwAL2BA6OiAOBfsA6EXFlZv5Hq32eAzYHno2I3sC6wOzOT1WSJEnq2Mosq162xYflQWV2aOzYsfTq1Yv99tuP6dOn8973vheAhoYGrrzySnr16rXCPvv378+PfvQjDjjgAN7+9rczfPjw1c5v8aIYO+ywA29729sYO7Zy5s/3v/99br/9dtZaay223357PvShDy11SN+IESM499xzaWxsbHdlxJEjR3LYYYctNRN11VVXMWbMGM455xzeeustPvnJT7ZbYK2KLldgZeZXgK8AFDNY/9mmuAK4ARgF/Bk4FPhjZmYnpilJkiTVpYULF3a47aSTTuKkk05apv2hhx5acv0///M/l1y//PLLl1wfMWIEjz76KJnJ8ccfT1NTE1ApmNr2tfgwvJaWlmViveMd7+D6669fpv3CCy9cpm3IkCFLcnvHO97BxIkTl9o+evToJdcPPfRQ2pYEW265Jb///e+X6XdNdMlFLtoTEWdHxMHFzZ8C60fE48ApQOcvgC9JkiT1ID/5yU9obGxk++23Z86cORx33HG1TqkmutwMVmuZOQGYUFz/Zqv2+cBhtclKkiRJ6nlOPvlkTj755FqnUXPdZgZLkiRJkmrNAkuSJEmSSmKBJUmSJEklscCSJEmSpJJ06UUuJEmSpC7tzHVL7m/OCnfp1asXw4YNW3L7+uuvZ8iQIe3u29DQ0O5S6ivS3NzMCy+8QL9+/WhoaOCyyy5j6623XqU+DjzwQK6++moArr76aj7/+c8D8Pzzz3PiiSdy3XXXrXJencEZLEmSJKkH6d+/P1OmTFly6ai4WlNXXXUVDz74IKNGjeK0005b5fvfdNNNDBw4kFdffZUf/ehHS9o32WSTui2uwAJLkiRJ6tFaWlrYd9992XnnnRk2bBi//vWvl9nnhRdeYO+996axsZGhQ4dy1113AXDLLbfw3ve+l5133pnDDjus3dmuvffem8cff5zM5LTTTmPo0KHsvvvujB8/frl9DxkyhJdffpnTTz+dJ554gsbGRk477TRmzJjB0KFDAdh99915+OGHl8Rqbm5m0qRJvP766xx11FHsuuuu7LTTTu0+pmqxwJIkSZJ6kHnz5tHY2EhjYyMf+9jH6NevH7/61a944IEHuP322zn11FPJzKXuc/XVV7P//vszZcoUHnzwQRobG3n55Zc555xzuPXWW3nggQdoamri/PPPXybeb37zG4YNG8Yvf/nLJfe/4YYbOO2003jhhRfa7bu1c889l3/7t39jypQpnHfeeUttGzlyJNdeey1QKdReeOEFmpqa+Na3vsU+++zD/fffz+23385pp53G66+/Xu4T2QHPwZIkSZJ6kMWHCC721ltv8dWvfpU777yTtdZai+eee44XX3yRjTbaaMk+w4cP56ijjuKtt97iox/9KI2Njdxxxx088sgj7LnnngC8+eabvPe9711yn09/+tP079+fIUOGcOGFF3L++edz+OGH06tXLzbccEPe//73M3HixHb7Xlmf+MQn2G+//TjrrLO49tprOfTQQ4HKzNoNN9zA9773PQDmz5/P008/zbbbbrsGz9zKscCSJEmSerCrrrqKWbNmMXnyZPr06cOQIUOYP3/+Uvvsvffe3Hnnnfz2t79l9OjRnHLKKay33np88IMf5Jprrumw36amphXGb6/vI444YqVy33TTTVl//fWZOnUq48eP55JLLgEgM/nFL36xygtrlMFDBCVJkqQebM6cOWy44Yb06dOH22+/nZkzZy6zz8yZMxk8eDDHHHMMRx99NA888AC77747d999N48//jgAr7/+On/72986jLPXXnsxfvx4Fi5cyMsvv8ydd97Jrrvu2m7frQ0YMIC5c+d22O/IkSP57ne/y5w5c9hhhx0A2H///bnwwguXHOr4l7/8ZZWfl9XlDJYkSZJUKyuxrHq1ffrTn+YjH/kIw4YNo6mpiW222WaZfSZMmMB5551Hnz59aGho4IorrmDQoEFcfvnlHH744bzxxhsAnHPOObznPe9pN87HPvYx/vznP7PjjjuSmXz3u99lo402YuzYscv03dr666/PnnvuydChQ/nQhz7E8ccfv9T2Qw89lJNOOolvfOMbS9q+8Y1v8MUvfpEddtiBRYsWseWWW3LjjTeu6VO1UiywJEmSpB6k7Up/G2ywAX/+85+Xu++oUaMYNWrUMtv32WcfJk6cuEz7hAkTlmmLCM477zzOO+885s6dy4ABA5bb94wZM5ZcX/x7WIs99NBDS64PHjyYBQsWLLW9f//+/PjHP273MVWbhwhKkiRJUkkssCRJkiSpJBZYkiRJklQSCyxJkiRJKokFliRJkiSVxAJLkiRJkkriMu2SJElSjQwbO6zU/qaNmrbc7bNnz2bfffcF4O9//zu9evVi0KBBANx///2svfbaqxV3yJAhDBgwgIhgo4024oorrmCjjTZapT722GMP7rnnHmbMmME999zDpz71KQAmTZrEFVdcwQUXXLBauXU2Z7AkSZKkHmL99ddnypQpTJkyhc997nOcfPLJS26vvfbay/ye1Kq4/fbbmTp1Kk1NTXz7299e5fvfc889QOX3r1r/7lVTU1OXKa7AAkuSJEnq0UaPHs3nPvc5dtttN770pS9x5pln8r3vfW/J9qFDhy750d8rr7ySXXfdlcbGRo477jgWLly4TH977703jz/+OPPnz+fII49k2LBh7LTTTtx+++0APPzwwzQ3N9PY2MgOO+zAY489BkBDQwMAp59+OnfddReNjY387//+LxMmTOCggw5i0aJFDBkyhFdffXVJrK222ooXX3yRWbNm8fGPf5zhw4czfPhw7r777io9WytmgSVJkiT1cM8++yz33HMP559/fof7TJ8+nfHjx3P33XczZcoUevXqxVVXXbXMfjfeeCPDhg3joosuIiKYNm0a11xzDaNGjWL+/PlccskljBkzhilTpjBp0iQ222yzpe5/7rnnstdeezFlyhROPvnkJe1rrbUWhxxyCL/61a8AuO+++9hiiy0YPHgwJ510EieffDITJ07kF7/4BUcffXRJz8yq8xwsSZIkqYc77LDD6NWr13L3ue2225g8eTLDhw8HYN68eWy44YZLto8YMYJevXqxww47cM4553DkkUdywgknALDNNtuwxRZb8Le//Y33vve9/Nd//RezZ8/m3//939lqq61WOs+RI0dy9tlnc+SRRzJu3DhGjhwJwK233sojjzyyZL/XXnuNlpaWJbNinckCS5IkSerh3v72ty+53rt3bxYtWrTk9vz58wHITEaNGsV3vvOddvu4/fbb2WCDDVYY61Of+hTbb789d9xxBwceeCA//vGP2WeffVYqz/e+9708/vjjzJo1i+uvv56vf/3rACxatIh7772Xfv36rVQ/1eQhgpIkSZKWGDJkCA888AAADzzwAE899RQA++67L9dddx0vvfQSAK+88gozZ87ssJ+99tprySGEf/vb33j66afZeuutefLJJ9lyyy058cQTOeSQQ5g6depS9xswYABz585tt8+I4GMf+xinnHIK2267Leuvvz4A++23HxdeeOGS/aZMmbJ6D74EzmBJkiRJNbKiZdVr4eMf/zhXXHEF22+/Pbvtthvvec97ANhuu+0455xz2G+//Vi0aBF9+vThoosuYosttmi3n89//vOMGTOGYcOG0bt3by6//HL69u3Ltddey9ixY+nbty8bbbQRX/3qV5e63w477ECvXr3YcccdGT16NDvttNNS20eOHMnw4cO5/PLLl7RdcMEFHH/88eywww4sWLCAvffem0suuaTcJ2YlWWBJkiRJPdCZZ57Zbnv//v255ZZb2t02cuTIJec9tbZ4lcHW+vXrx89+9rNl2k8//XSOP/54BgwYsFR7S0sLAH369OGPf/zjUtuam5uXXG9qaiIzl9q+wQYbMH78+HZz7mweIihJkiRJJbHAkiRJkqSSWGBJkiRJnajt4W2qb6s6XhZYkiRJUifp168fs2fPtsjqIjKT2bNnr9Ly7y5yIUmSJHWSzTbbjGeffZZZs2bVOpWamj9/fl38ZtXK6NevH5ttttlK79/lCqyI6AfcCfSlkv91mXlGm31GA+cBzxVNP8zM/+vMPCVJkqS2+vTpw5ZbblnrNGpuwoQJyyy/3l10uQILeAPYJzNbIqIP8KeI+F1m3ttmv/GZ+YUa5CdJkiSph+pyBVZWDlhtKW72KS4exCpJkiSp5rrkIhcR0SsipgAvAX/IzPva2e3jETE1Iq6LiM07N0NJkiRJPVF05RVMImIg8CvghMx8qFX7+kBLZr4REccBIzNzn3bufyxwLMDgwYN3GTduXOckXiUtLS00NDTUOo0ez3GoD45DfXAc6oPjsGKPzH6k6jEG9RrErIXVW9hgu/W3q1rf3Ynvh/rQHcZhxIgRkzOzqW17ly6wACLim8A/M/N7HWzvBbySmesur5+mpqacNGlSNVLsNBMmTKC5ubnWafR4jkN9cBzqg+NQHxyHFRs2dljVY4xpGMPFLRdXrf9po6ZVre/uxPdDfegO4xAR7RZYXe4QwYgYVMxcERH9gQ8Cj7bZZ+NWNw8GpndagpIkSZJ6rC63yAWwMTC2mJlaC7g2M2+MiLOBSZl5A3BiRBwMLABeAUbXLFtJkiRJPUaXK7AycyqwzKL5mfnNVte/AnylM/OSJEmSpC53iKAkSZIk1SsLLEmSJEkqiQWWJEmSJJXEAkuSJEmSSmKBJUmSJEklscCSJEmSpJJYYEmSJElSSSywJEmSJKkkFliSJEmSVBILLEmSJEkqiQWWJEmSJJXEAkuSJEmSSmKBJUmSJEklscCSJEmSpJJYYEmSJElSSSywJEmSJKkkFliSJEmSVBILLEmSJEkqiQWWJEmSJJXEAkuSJEmSSmKBJUmSJEklscCSJEmSpJJYYEmSJElSSSywJEmSJKkkFliSJEmSVBILLEmSJEkqiQWWJEmSJJXEAkuSJEmSSmKBJUmSJEklscCSJEmSpJJYYEmSJElSSSywJEmSJKkkFliSJEmSVBILLEmSJEkqSZcrsCKiX0TcHxEPRsTDEXFWO/v0jYjxEfF4RNwXEUNqkKokSZKkHqbLFVjAG8A+mbkj0AgcEBG7t9nns8A/MvPdwP8C/925KUqSJEnqibpcgZUVLcXNPsUl2+x2CDC2uH4dsG9ERCelKEmSJKmHisy2tUn9i4hewGTg3cBFmfnlNtsfAg7IzGeL208Au2Xmy232OxY4FmDw4MG7jBs3rjPSr5qWlhYaGhpqnUaP5zjUB8ehPjgO9cFxWLFHZj9S9RiDeg1i1sJZVet/u/W3q1rf3Ynvh/rQHcZhxIgRkzOzqW1771oks6YycyHQGBEDgV9FxNDMfGg1+rkUuBSgqakpm5ubS82zs02YMIGu/hi6A8ehPjgO9cFxqA+Ow4qdMPaEqscY0zCGi1surlr/0z4+rWp9dye+H+pDdx6HLneIYGuZ+SpwO3BAm03PAZsDRERvYF1gdqcmJ0mSJKnH6XIFVkQMKmauiIj+wAeBR9vsdgMwqrh+KPDH7IrHQkqSJEnqUrriIYIbA2OL87DWAq7NzBsj4mxgUmbeAPwU+HlEPA68AnyydulKkiRJ6im6XIGVmVOBndpp/2ar6/OBwzozL0mSJEnqcocISpIkSVK9ssCSJEmSpJJYYEmSJElSSSywJEmSJKkkFliSJEmSVBILLEmSJEkqiQWWJEmSJJXEAkuSJEmSSmKBJUmSJEklscCSJEmSpJJYYEmSJElSSSywJEmSJKkkFliSJEmSVBILLEmSJEkqiQWWJEmSJJXEAkuSJEmSSmKBJUmSJEklscCSJEmSpJJYYEmSJElSSSywJEmSJKkkFliSJEmSVBILLEmSJEkqSe9aJyBJklRr0556uuoxJmz9ZqfEkVRbzmBJkiRJUkkssCRJkiSpJBZYkiRJklQSCyxJkiRJKokFliRJkiSVxAJLkiRJkkpigSVJkiRJJbHAkiRJkqSSWGBJkiRJUkkssCRJkiSpJF2uwIqIzSPi9oh4JCIejoiT2tmnOSLmRMSU4vLNWuQqSZIkqWfpXesEVsMC4NTMfCAiBgCTI+IPmflIm/3uysyDapCfJEmSpB6qy81gZeYLmflAcX0uMB3YtLZZSZIkSRJEZtY6h9UWEUOAO4Ghmflaq/Zm4BfAs8DzwH9m5sPt3P9Y4FiAwYMH7zJu3LjqJ11FLS0tNDQ01DqNHs9xqA+OQ31wHOqD47ASXphS9RAtfTeh4Y3nqxdg48bq9d2N+H6oD91hHEaMGDE5M5vatnfZAisiGoA7gG9l5i/bbFsHWJSZLRFxIPCDzNxqef01NTXlpEmTqpdwJ5gwYQLNzc21TqPHcxzqg+NQHxyH+uA4rIQz1616iAlbn0XzX8+oXoAz51Sv727E90N96A7jEBHtFlhd7hBBgIjoQ2WG6qq2xRVAZr6WmS3F9ZuAPhGxQSenKUmSJKmH6XIFVkQE8FNgemae38E+GxX7ERG7UnmcszsvS0mSJEk9UVdcRXBP4DPAtIiYUrR9FXgnQGZeAhwKjImIBcA84JPZVY+FlCRJktRldLkCKzP/BMQK9vkh8MPOyUiSJEmSKrrcIYKSJEmSVK8ssCRJkiSpJBZYkiRJklQSCyxJkiRJKokFliRJkiSVxAJLkiRJkkpigSVJkiRJJbHAkiRJkqSSWGBJkiRJUklqVmBFxJ4r0yZJkiRJXUUtZ7AuXMk2SZIkSeoSend2wIh4L7AHMCgiTmm1aR2gV2fnI0mSJEll6fQCC1gbaChiD2jV/hpwaA3ykSRJkqRSdHqBlZl3AHdExOWZObOz40uSJElStdRiBmuxvhFxKTCkdR6ZuU/NMpIkSZKkNVDLAuv/AZcA/wcsrGEekiRJklSKWhZYCzLz4hrGlyRJkqRS1XKZ9t9ExOcjYuOIeMfiSw3zkSRJkqQ1UssZrFHFv6e1akvgXTXIRZIkSZLWWM0KrMzcslaxJUmSJKkaalZgRcQR7bVn5hWdnYskSZIklaGWhwgOb3W9H7Av8ABggSVJkiSpS6rlIYIntL4dEQOBcbXJRpIkSZLWXC1XEWzrdcDzsiRJkiR1WbU8B+s3VFYNBOgFbAtcW6t8JEmSJGlN1fIcrO+1ur4AmJmZz9YqGUmSJElaUzU7RDAz7wAeBQYA6wFv1ioXSZIkSSpDzQqsiPgEcD9wGPAJ4L6IOLRW+UiSJEnSmqrlIYJfA4Zn5ksAETEIuBW4roY5SZIkSdJqq+UqgmstLq4Ks6mvVQ0lSZIkaZXUcgbr9xFxM3BNcXskcFMN85EkSZKkNdLpBVZEvBsYnJmnRcS/A+8rNv0ZuKqz85EkSZKkstRiBuv7wFcAMvOXwC8BImJYse0jNchJkiRJktZYLc55GpyZ09o2Fm1DVnTniNg8Im6PiEci4uGIOKmdfSIiLoiIxyNiakTsXE7qkiRJktSxWsxgDVzOtv4rcf8FwKmZ+UBEDAAmR8QfMvORVvt8CNiquOwGXFz8K0mSJElVU4sZrEkRcUzbxog4Gpi8ojtn5guZ+UBxfS4wHdi0zW6HAFdkxb3AwIjYeM1TlyRJkqSORWZ2bsCIwcCvgDf5V0HVBKwNfCwz/74KfQ0B7gSGZuZrrdpvBM7NzD8Vt28DvpyZk9rc/1jgWIDBgwfvMm7cuNV9WHWhpaWFhoaGWqfR4zkO9cFxqA+OQ31wHFbCC1OqHqKl7yY0vPF89QJs3Fi9vrsR3w/1oTuMw4gRIyZnZlPb9k4/RDAzXwT2iIgRwNCi+beZ+cdV6SciGoBfAF9sXVytYi6XApcCNDU1ZXNz8+p0UzcmTJhAV38M3YHjUB8ch/rgONQHx2ElnHlI1UNM2Posmv96RvUCHD6nen13I74f6kN3Hoea/Q5WZt4O3L46942IPlSKq6uKlQjbeg7YvNXtzYo2SZIkSaqaWpyDtUYiIoCfAtMz8/wOdrsBOKJYTXB3YE5mvtBpSUqSJEnqkWo2g7UG9gQ+A0yLiClF21eBdwJk5iXATcCBwOPAP4EjOz9NSZIkST1NlyuwioUrYgX7JHB852QkSZIkSRVd7hBBSZIkSapXFliSJEmSVBILLEmSJEkqiQWWJEmSJJXEAkuSJEmSSmKBJUmSJEklscCSJEmSpJJYYEmSJElSSSywJEmSJKkkFliSJEmSVJLetU5AkiSp1obMv7rqMU5dtIDRVYwzo2o9S1oVzmBJkiRJUkkssCRJkiSpJBZYkiRJklQSCyxJkiRJKokFliRJkiSVxAJLkiRJkkpigSVJkiRJJbHAkiRJkqSSWGBJkiRJUkkssCRJkiSpJBZYkiRJklQSCyxJkiRJKokFliRJkiSVxAJLkiRJkkpigSVJkiRJJbHAkiRJkqSSWGBJkiRJUkkssCRJkiSpJBZYkiRJklQSCyxJkiRJKokFliRJkiSVxAJLkiRJkkrS5QqsiLgsIl6KiIc62N4cEXMiYkpx+WZn5yhJkiSpZ+pd6wRWw+XAD4ErlrPPXZl5UOekI0mSJEkVXW4GKzPvBF6pdR6SJEmS1FZkZq1zWGURMQS4MTOHtrOtGfgF8CzwPPCfmflwB/0cCxwLMHjw4F3GjRtXpYw7R0tLCw0NDbVOo8dzHOqD41AfHIf64Dis2LTn5lQ9xuD+8OK86vU/bNN1q9d5N+L7oT50h3EYMWLE5MxsatveHQusdYBFmdkSEQcCP8jMrVbUZ1NTU06aNKn8ZDvRhAkTaG5urnUaPZ7jUB8ch/rgONQHx2HFhpz+26rHOHXYAv5nWvXOzphx7oer1nd34vuhPnSHcYiIdgusLneI4Ipk5muZ2VJcvwnoExEb1DgtSZIkST1AtyuwImKjiIji+q5UHuPs2mYlSZIkqSfocqsIRsQ1QDOwQUQ8C5wB9AHIzEuAQ4ExEbEAmAd8MrvicZCSJEmSupwuV2Bl5uEr2P5DKsu4S5IkSVKn6naHCEqSJElSrVhgSZIkSVJJLLAkSZIkqSQWWJIkSZJUEgssSZIkSSqJBZYkSZIklcQCS5IkSZJKYoElSZIkSSWxwJIkSZKkklhgSZIkSVJJLLAkSZIkqSQWWJIkSZJUEgssSZIkSSqJBZYkSZIklcQCS5IkSZJKYoElSZIkSSWxwJIkSZKkklhgSZIkSVJJLLAkSZIkqSQWWJIkSZJUEgssSZIkSSqJBZYkSZIklcQCS5IkSZJKYoElSZIkSSWxwJIkSZKkklhgSZIkSVJJLLAkSZIkqSQWWJIkSZJUEgssSZIkSSqJBZYkSZIklcQCS5IkSZJKYoElSZIkSSWxwJIkSZKkknS5AisiLouIlyLioQ62R0RcEBGPR8TUiNi5s3OUJEmS1DN1uQILuBw4YDnbPwRsVVyOBS7uhJwkSZIkqesVWJl5J/DKcnY5BLgiK+4FBkbExp2TnSRJkqSerMsVWCthU+CZVrefLdokSZIkqaoiM2udwyqLiCHAjZk5tJ1tNwLnZuafitu3AV/OzEnt7HsslcMIGTx48C7jxo2rat7V1tLSQkNDQ63T6PEch/rgONQHx6E+OA4rNu25OVWPMbg/vDivev0P23Td6nXejfh+qA/dYRxGjBgxOTOb2rb3rkUyVfYcsHmr25sVbcvIzEuBSwGampqyubm56slV04QJE+jqj6E7cBzqg+NQHxyH+uA4rNjo039b9RinDlvA/0yr3kevGZ9urlrf3Ynvh/rQncehOx4ieANwRLGa4O7AnMx8odZJSZIkSer+utwMVkRcAzQDG0TEs8AZQB+AzLwEuAk4EHgc+CdwZG0ylSRJktTTdLkCKzMPX8H2BI7vpHQkSZIkaYnueIigJEmSJNWEBZYkSZIklcQCS5IkSZJKYoElSZIkSSWxwJIkSZKkklhgSZIkSVJJLLAkSZIkqSQWWJIkSZJUEgssSZIkSSqJBZYkSZIklcQCS5IkSZJKYoElSZIkSSWxwJIkSZKkklhgSZIkSVJJLLAkSZIkqSQWWJIkSZJUEgssSZIkSSqJBZYkSZIklcQCS5IkSZJKYoElSZIkSSWxwJIkSZKkklhgSZIkSVJJLLAkSZIkqSQWWJIkSZJUEgssSZIkSSqJBZYkSZIklcQCS5IkSZJKYoElSZIkSSWxwJIkSZKkklhgSZIkSVJJLLAkSZIkqSQWWJIkSZJUEgssSZIkSSqJBZYkSZIklaRLFlgRcUBE/DUiHo+I09vZPjoiZkXElOJydC3ylCRJktSz9K51AqsqInoBFwEfBJ4FJkbEDZn5SJtdx2fmFzo9QUmSJEk9VlecwdoVeDwzn8zMN4FxwCE1zkmSJEmSiMysdQ6rJCIOBQ7IzKOL258Bdms9WxURo4HvALOAvwEnZ+Yz7fR1LHAswODBg3cZN25c9R9AFbW0tNDQ0FDrNHo8x6E+OA71wXGoD47Dik17bk7VYwzuDy/Oq17/wzZdt3qddyO+H+pDdxiHESNGTM7MprbtXe4QwZX0G+CazHwjIo4DxgL7tN0pMy8FLgVoamrK5ubmTk2ybBMmTKCrP4buwHGoD45DfXAc6oPjsGKjT/9t1WOcOmwB/zOteh+9Zny6uWp9dye+H+pDdx6HrniI4HPA5q1ub1a0LZGZszPzjeLm/wG7dFJukiRJknqwrlhgTQS2iogtI2Jt4JPADa13iIiNW908GJjeiflJkiRJ6qG63CGCmbkgIr4A3Az0Ai7LzIcj4mxgUmbeAJwYEQcDC4BXgNE1S1iSJElSj9HlCiyAzLwJuKlN2zdbXf8K8JXOzkuSJElSz9YlCyxJkrqLYWOHVT3GmIYxnDD2hKr1P23UtKr1LUldTVc8B0uSJEmS6pIFliRJkiSVxAJLkiRJkkpigSVJkiRJJbHAkiRJkqSSWGBJkiRJUkkssCRJkiSpJBZYkiRJklQSCyxJkiRJKokFliRJkiSVpHetE5AkqSeb9tTTVY8xYes3OyWOJMkZLEmSJEkqjQWWJEmSJJXEAkuSJEmSSmKBJUmSJEklscCSJEmSpJJYYEmSJElSSSywJEmSJKkkFliSJEmSVBILLEmSJEkqiQWWJEmSJJXEAkuSJEmSStK71glIktSTDZl/ddVjnLpoAaOrGGdG1XqWpK7HGSxJkiRJKokFliRJkiSVxAJLkiRJkkpigSVJkiRJJbHAkiRJkqSSWGBJkiRJUkkssCRJkiSpJBZYkiRJklQSCyxJkiRJKokFliRJkiSVxAJLkiRJkkpigSVJkiRJJYnMrHUOdSEiZgEza53HGtoAeLnWSchxqBOOQ31wHOqD41AfHIf64DjUh+4wDltk5qC2jRZY3UhETMrMplrn0dM5DvXBcagPjkN9cBzqg+NQHxyH+tCdx8FDBCVJkiSpJBZYkiRJklQSC6zu5dJaJyDAcagXjkN9cBzqg+NQHxyH+uA41IduOw6egyVJkiRJJXEGS5IkSZJKYoElSZIkSSWxwJIkSZKkklhgSWsoIraJiH0joqFN+wG1yqkniohdI2J4cX27iDglIg6sdV49WURcUescBBHxvuL9sF+tc+kpImK3iFinuN4/Is6KiN9ExH9HxLq1zk9SdbnIRTcUEUdm5s9qnUdPEBEnAscD04FG4KTM/HWx7YHM3LmG6fUYEXEG8CGgN/AHYDfgduCDwM2Z+a0aptcjRMQNbZuAEcAfATLz4E5PqoeKiPszc9fi+jFU/kb9CtgP+E1mnlvL/HqCiHgY2DEzF0TEpcA/geuAfYv2f69pgpKqygKrG4qIpzPznbXOoyeIiGnAezOzJSKGUPkP9OeZ+YOI+Etm7lTbDHuGYhwagb7A34HNMvO1iOgP3JeZO9Qyv54gIh4AHgH+D0gqBdY1wCcBMvOO2mXXs7T+2xMRE4EDM3NWRLwduDczh9U2w+4vIqZn5rbF9aW+bIuIKZnZWLPkJFWdhwh2URExtYPLNGBwrfPrQdbKzBaAzJwBNAMfiojzqXzAVOdYkJkLM/OfwBOZ+RpAZs4DFtU2tR6jCZgMfA2Yk5kTgHmZeYfFVadbKyLWi4j1qXyROgsgM18HFtQ2tR7joYg4srj+YEQ0AUTEe4C3apeWWouI39U6h54iItaJiO9ExM8j4lNttv2oVnlVS+9aJ6DVNhjYH/hHm/YA7un8dHqsFyOiMTOnABQzWQcBlwF+S9x53oyItxUF1i6LG4tzHSywOkFmLgL+NyL+X/Hvi/h/TK2sS6XYDSAjYuPMfKE4T9QvfjrH0cAPIuLrwMvAnyPiGeCZYps6SUR0dKh+UDnyQZ3jZ8BjwC+AoyLi48CnMvMNYPeaZlYFHiLYRUXET4GfZeaf2tl2dWZ+qp27qWQRsRmV2ZO/t7Ntz8y8uwZp9TgR0bf4I922fQNg48ycVoO0erSI+DCwZ2Z+tda5qCIi3gYMzsynap1LT1EsdLEllS8bns3MF2ucUo8TEQuBO2j/y4XdM7N/J6fUI7U9NDYivgYcCBwM/KG7nbNugSVJkqRuKSIeAj6WmY+1s+2ZzNy8Bmn1OBExHdi+ONphcdto4DSgITO3qFVu1eA5WJIkSequzqTjz7sndGIePd1vgH1aN2Tm5cCpwJu1SKianMGSJElSj+PP2tSH7jgOFliSJEnqcfxZm/rQHcfBFZ4kSZLULUXE1I424c/adJqeNg4WWJIkSequ/Fmb+tCjxsECS5IkSd3VjVRWqZvSdkNETOj0bHquHjUOnoMlSZIkSSVxmXZJkiRJKokFliRJkiSVxAJLktTtRURGxJWtbveOiFkRceNq9jcwIj7f6nbz6vYlSepeLLAkST3B68DQiOhf3P4g8Nwa9DcQ+PyKdpIk9TwWWJKknuIm4MPF9cOBaxZviIh3RMT1ETE1Iu6NiB2K9jMj4rKImBART0bEicVdzgX+LSKmRMR5RVtDRFwXEY9GxFUREZ31wCRJ9cMCS5LUU4wDPhkR/YAdgPtabTsL+Etm7gB8Fbii1bZtqPx+y67AGRHRBzgdeCIzGzPztGK/nYAvAtsB7wL2rOJjkSTVKQssSVKPkJlTgSFUZq9uarP5fcDPi/3+CKwfEesU236bmW9k5svAS1R+MLM992fms5m5CJhSxJIk9TD+0LAkqSe5Afge0Aysv5L3eaPV9YV0/H/nyu4nSerGnMGSJPUklwFnZea0Nu13AZ+GyoqAwMuZ+dpy+pkLDKhGgpKkrs1v1yRJPUZmPgtc0M6mM4HLImIq8E9g1Ar6mR0Rd0fEQ8DvgN+WnaskqWuKzKx1DpIkSZLULXiIoCRJkiSVxAJLkiRJkkpigSVJkiRJJbHAkiRJkqSSWGBJkiRJUkkssCRJkiSpJBZYkiRJklSS/w8IJ51AsYC0GQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x1296 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Aggregate data\n",
    "hour_incident_grade = traindata.groupby(['Hour', 'IncidentGrade']).size().unstack()\n",
    "day_incident_grade = traindata.groupby(['Day', 'IncidentGrade']).size().unstack()\n",
    "month_incident_grade = traindata.groupby(['Month', 'IncidentGrade']).size().unstack()\n",
    "\n",
    "# Create subplots\n",
    "fig, axes = plt.subplots(3, 1, figsize=(12, 18))\n",
    "\n",
    "# Hourly distribution (stacked bar plot)\n",
    "hour_incident_grade.plot(kind='bar', stacked=True, ax=axes[0])\n",
    "axes[0].set_title(\"IncidentGrade Counts Across Hours of the Day\")\n",
    "axes[0].set_xlabel(\"Hour of the Day\")\n",
    "axes[0].set_ylabel(\"Count\")\n",
    "axes[0].legend(title='IncidentGrade')\n",
    "axes[0].grid(True)\n",
    "\n",
    "# Daily distribution (stacked bar plot)\n",
    "day_incident_grade.plot(kind='bar', stacked=True, ax=axes[1])\n",
    "axes[1].set_title(\"IncidentGrade Counts Across Days of the Month\")\n",
    "axes[1].set_xlabel(\"Day of the Month\")\n",
    "axes[1].set_ylabel(\"Count\")\n",
    "axes[1].legend(title='IncidentGrade')\n",
    "axes[1].grid(True)\n",
    "\n",
    "# Monthly distribution (stacked bar plot)\n",
    "month_incident_grade.plot(kind='bar', stacked=True, ax=axes[2])\n",
    "axes[2].set_title(\"IncidentGrade Counts Across Months of the Year\")\n",
    "axes[2].set_xlabel(\"Month\")\n",
    "axes[2].set_ylabel(\"Count\")\n",
    "axes[2].legend(title='IncidentGrade')\n",
    "axes[2].grid(True)\n",
    "\n",
    "# Adjust layout\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x1296 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "categorical_columns = ['Category', 'IncidentGrade', 'EntityType','EvidenceRole']\n",
    "\n",
    "# Create subplots for each categorical column\n",
    "fig, axes = plt.subplots(4, 1, figsize=(12, 18))\n",
    "\n",
    "# Plot each column as a count plot\n",
    "for i, column in enumerate(categorical_columns):\n",
    "    sns.countplot(x=column, data=traindata, ax=axes[i])\n",
    "    axes[i].set_title(f\"Distribution of {column}\")\n",
    "    axes[i].set_xlabel(column)\n",
    "    axes[i].set_ylabel(\"Count\")\n",
    "    axes[i].tick_params(axis='x', rotation=90)  # Rotate x-axis labels for readability if needed\n",
    "\n",
    "# Adjust layout to prevent overlap\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Id', 'OrgId', 'IncidentId', 'AlertId', 'DetectorId', 'AlertTitle',\n",
       "       'DeviceId', 'Sha256', 'IpAddress', 'Url', 'AccountSid', 'AccountUpn',\n",
       "       'AccountObjectId', 'AccountName', 'DeviceName', 'NetworkMessageId',\n",
       "       'RegistryKey', 'RegistryValueName', 'RegistryValueData',\n",
       "       'ApplicationId', 'ApplicationName', 'OAuthApplicationId', 'FileName',\n",
       "       'FolderPath', 'ResourceIdName', 'OSFamily', 'OSVersion', 'CountryCode',\n",
       "       'State', 'City'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_columns = traindata.select_dtypes(include=['float64', 'int64']).columns\n",
    "numeric_columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# selecting numerical col\n",
    "numeric_df=traindata.select_dtypes(include=['number'])\n",
    "\n",
    "corr_matrix= numeric_df.corr().abs()\n",
    "\n",
    "# plot the heatmap\n",
    "plt.figure(figsize=(20,15))\n",
    "sns.heatmap(corr_matrix,annot=True, cmap='coolwarm', fmt='.2f', vmin=-1, linewidths=0.5)\n",
    "plt.title('correlation Heatmap')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dropping Highly Correlated Columns dropping columns correlated above 65% \n",
    "traindata.drop([\"Sha256\",\"AccountSid\",\"AccountUpn\",\"AccountObjectId\",\"RegistryValueName\",\"ApplicationId\",\"FolderPath\",\n",
    "                \"CountryCode\",\"State\",\"Month\", \"OSFamily\", \"DeviceId\" ,\"Timestamp\"], axis =1 , inplace = True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 4577400 entries, 0 to 4758417\n",
      "Data columns (total 27 columns):\n",
      " #   Column              Dtype \n",
      "---  ------              ----- \n",
      " 0   Id                  int64 \n",
      " 1   OrgId               int64 \n",
      " 2   IncidentId          int64 \n",
      " 3   AlertId             int64 \n",
      " 4   DetectorId          int64 \n",
      " 5   AlertTitle          int64 \n",
      " 6   Category            object\n",
      " 7   IncidentGrade       object\n",
      " 8   EntityType          object\n",
      " 9   EvidenceRole        object\n",
      " 10  IpAddress           int64 \n",
      " 11  Url                 int64 \n",
      " 12  AccountName         int64 \n",
      " 13  DeviceName          int64 \n",
      " 14  NetworkMessageId    int64 \n",
      " 15  RegistryKey         int64 \n",
      " 16  RegistryValueData   int64 \n",
      " 17  ApplicationName     int64 \n",
      " 18  OAuthApplicationId  int64 \n",
      " 19  FileName            int64 \n",
      " 20  ResourceIdName      int64 \n",
      " 21  OSVersion           int64 \n",
      " 22  City                int64 \n",
      " 23  Day                 int32 \n",
      " 24  Year                int32 \n",
      " 25  Hour                int32 \n",
      " 26  Time                object\n",
      "dtypes: int32(3), int64(19), object(5)\n",
      "memory usage: 925.5+ MB\n"
     ]
    }
   ],
   "source": [
    "traindata.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4577400, 27)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traindata.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# cheking the uique values in columns\n",
    "\n",
    "columns = traindata.select_dtypes(include=['float64', 'int64','object']).columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'Id' : 642342\n",
      "'OrgId' : 5236\n",
      "'IncidentId' : 421530\n",
      "'AlertId' : 1150459\n",
      "'DetectorId' : 7369\n",
      "'AlertTitle' : 74710\n",
      "'Category' : 20\n",
      "'IncidentGrade' : 3\n",
      "'EntityType' : 31\n",
      "'EvidenceRole' : 2\n",
      "'IpAddress' : 195384\n",
      "'Url' : 85332\n",
      "'AccountName' : 272375\n",
      "'DeviceName' : 80956\n",
      "'NetworkMessageId' : 260032\n",
      "'RegistryKey' : 937\n",
      "'RegistryValueData' : 496\n",
      "'ApplicationName' : 1610\n",
      "'OAuthApplicationId' : 416\n",
      "'FileName' : 142641\n",
      "'ResourceIdName' : 1497\n",
      "'OSVersion' : 48\n",
      "'City' : 7107\n",
      "'Time' : 86400\n"
     ]
    }
   ],
   "source": [
    "for col in columns:\n",
    "    \n",
    "    # Print the number of unique values in each column\n",
    "    unique_count = traindata[col].nunique()  # Count unique values\n",
    "    print(f\"'{col}' : {unique_count}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>OrgId</th>\n",
       "      <th>IncidentId</th>\n",
       "      <th>AlertId</th>\n",
       "      <th>DetectorId</th>\n",
       "      <th>AlertTitle</th>\n",
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       "      <th>IncidentGrade</th>\n",
       "      <th>EntityType</th>\n",
       "      <th>EvidenceRole</th>\n",
       "      <th>IpAddress</th>\n",
       "      <th>Url</th>\n",
       "      <th>AccountName</th>\n",
       "      <th>DeviceName</th>\n",
       "      <th>NetworkMessageId</th>\n",
       "      <th>RegistryKey</th>\n",
       "      <th>RegistryValueData</th>\n",
       "      <th>ApplicationName</th>\n",
       "      <th>OAuthApplicationId</th>\n",
       "      <th>FileName</th>\n",
       "      <th>ResourceIdName</th>\n",
       "      <th>OSVersion</th>\n",
       "      <th>City</th>\n",
       "      <th>Day</th>\n",
       "      <th>Year</th>\n",
       "      <th>Hour</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1709396985476</td>\n",
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       "      <td>18583</td>\n",
       "      <td>687462</td>\n",
       "      <td>31</td>\n",
       "      <td>813</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
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       "      <td>360606</td>\n",
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       "      <td>33</td>\n",
       "      <td>5065</td>\n",
       "      <td>3990</td>\n",
       "      <td>38</td>\n",
       "      <td>25</td>\n",
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       "      <td>66</td>\n",
       "      <td>10630</td>\n",
       "      <td>3</td>\n",
       "      <td>2024</td>\n",
       "      <td>10</td>\n",
       "      <td>38709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1090921697002</td>\n",
       "      <td>201</td>\n",
       "      <td>150787</td>\n",
       "      <td>807590</td>\n",
       "      <td>419</td>\n",
       "      <td>444</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>453297</td>\n",
       "      <td>4181</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>860</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>289573</td>\n",
       "      <td>3586</td>\n",
       "      <td>66</td>\n",
       "      <td>10630</td>\n",
       "      <td>13</td>\n",
       "      <td>2024</td>\n",
       "      <td>3</td>\n",
       "      <td>13000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1434519079555</td>\n",
       "      <td>204</td>\n",
       "      <td>108287</td>\n",
       "      <td>28575</td>\n",
       "      <td>44</td>\n",
       "      <td>1233</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>453297</td>\n",
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       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
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       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>97007</td>\n",
       "      <td>3586</td>\n",
       "      <td>66</td>\n",
       "      <td>10630</td>\n",
       "      <td>8</td>\n",
       "      <td>2024</td>\n",
       "      <td>16</td>\n",
       "      <td>60897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1005022347708</td>\n",
       "      <td>54</td>\n",
       "      <td>528202</td>\n",
       "      <td>1458226</td>\n",
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       "      <td>9</td>\n",
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       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>860</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>39978</td>\n",
       "      <td>3586</td>\n",
       "      <td>66</td>\n",
       "      <td>10630</td>\n",
       "      <td>9</td>\n",
       "      <td>2024</td>\n",
       "      <td>2</td>\n",
       "      <td>10081</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Id  OrgId  IncidentId  AlertId  DetectorId  AlertTitle  \\\n",
       "0  1709396985476     26       18583   687462          31         813   \n",
       "1   927712939180     33        5065     3990          38          25   \n",
       "2  1090921697002    201      150787   807590         419         444   \n",
       "3  1434519079555    204      108287    28575          44        1233   \n",
       "4  1005022347708     54      528202  1458226         102       58829   \n",
       "\n",
       "   Category  IncidentGrade  EntityType  EvidenceRole  IpAddress     Url  \\\n",
       "0        12              0           9             1     360606  160396   \n",
       "1         9              0          17             0     360606  160396   \n",
       "2         6              0          17             0     360606  160396   \n",
       "3        16              2           9             1     360606  160396   \n",
       "4         7              0           9             0     360606  160396   \n",
       "\n",
       "   AccountName  DeviceName  NetworkMessageId  RegistryKey  RegistryValueData  \\\n",
       "0       453297      153085            529644         1631                860   \n",
       "1       453297        3142            529644         1631                860   \n",
       "2       453297        4181            529644         1631                860   \n",
       "3       453297      153085            529644         1631                860   \n",
       "4       453297      153085            529644         1631                860   \n",
       "\n",
       "   ApplicationName  OAuthApplicationId  FileName  ResourceIdName  OSVersion  \\\n",
       "0             3421                 881      4132            3586         66   \n",
       "1             3421                 881    289573            3586         66   \n",
       "2             3421                 881    289573            3586         66   \n",
       "3             3421                 881     97007            3586         66   \n",
       "4             3421                 881     39978            3586         66   \n",
       "\n",
       "    City  Day  Year  Hour   Time  \n",
       "0  10630    6  2024     5  21407  \n",
       "1  10630    3  2024    10  38709  \n",
       "2  10630   13  2024     3  13000  \n",
       "3  10630    8  2024    16  60897  \n",
       "4  10630    9  2024     2  10081  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Encoding categorical variables\n",
    "\n",
    "categorical = traindata.select_dtypes(include=['object']).columns\n",
    "\n",
    "for feature in categorical:\n",
    "    encoder = LabelEncoder()\n",
    "    traindata[feature] = encoder.fit_transform(traindata[feature])\n",
    "\n",
    "traindata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "traindata.to_csv('traindata_processed.csv', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-33-95498cf24cc3>:2: DtypeWarning: Columns (10,11) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  testdata = pd.read_csv('GUIDE_Test.csv')\n"
     ]
    },
    {
     "data": {
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       "      <th>Timestamp</th>\n",
       "      <th>DetectorId</th>\n",
       "      <th>AlertTitle</th>\n",
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       "      <th>MitreTechniques</th>\n",
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       "      <th>AccountSid</th>\n",
       "      <th>AccountUpn</th>\n",
       "      <th>AccountObjectId</th>\n",
       "      <th>AccountName</th>\n",
       "      <th>DeviceName</th>\n",
       "      <th>NetworkMessageId</th>\n",
       "      <th>EmailClusterId</th>\n",
       "      <th>RegistryKey</th>\n",
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       "      <th>ApplicationId</th>\n",
       "      <th>ApplicationName</th>\n",
       "      <th>OAuthApplicationId</th>\n",
       "      <th>ThreatFamily</th>\n",
       "      <th>FileName</th>\n",
       "      <th>FolderPath</th>\n",
       "      <th>ResourceIdName</th>\n",
       "      <th>ResourceType</th>\n",
       "      <th>Roles</th>\n",
       "      <th>OSFamily</th>\n",
       "      <th>OSVersion</th>\n",
       "      <th>AntispamDirection</th>\n",
       "      <th>SuspicionLevel</th>\n",
       "      <th>LastVerdict</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>State</th>\n",
       "      <th>City</th>\n",
       "      <th>Usage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1245540519230</td>\n",
       "      <td>657</td>\n",
       "      <td>11767</td>\n",
       "      <td>87199</td>\n",
       "      <td>2024-06-04T22:56:27.000Z</td>\n",
       "      <td>524</td>\n",
       "      <td>563</td>\n",
       "      <td>LateralMovement</td>\n",
       "      <td>T1021;T1047;T1105;T1569.002</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>User</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>2610</td>\n",
       "      <td>3699</td>\n",
       "      <td>425863</td>\n",
       "      <td>863</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>289573</td>\n",
       "      <td>117668</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>Private</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1400159342154</td>\n",
       "      <td>3</td>\n",
       "      <td>91158</td>\n",
       "      <td>632273</td>\n",
       "      <td>2024-06-03T12:58:26.000Z</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>CommandAndControl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Machine</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>1239</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>2833</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>289573</td>\n",
       "      <td>117668</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>Public</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1279900255923</td>\n",
       "      <td>145</td>\n",
       "      <td>32247</td>\n",
       "      <td>131719</td>\n",
       "      <td>2024-06-08T03:20:49.000Z</td>\n",
       "      <td>2932</td>\n",
       "      <td>10807</td>\n",
       "      <td>LateralMovement</td>\n",
       "      <td>T1021;T1027.002;T1027.005;T1105</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Process</td>\n",
       "      <td>Related</td>\n",
       "      <td>98799</td>\n",
       "      <td>4296</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>22</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>Public</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60129547292</td>\n",
       "      <td>222</td>\n",
       "      <td>15294</td>\n",
       "      <td>917686</td>\n",
       "      <td>2024-06-12T12:07:31.000Z</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>InitialAccess</td>\n",
       "      <td>T1078;T1078.004</td>\n",
       "      <td>FalsePositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CloudLogonSession</td>\n",
       "      <td>Related</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>289573</td>\n",
       "      <td>117668</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>Public</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>515396080539</td>\n",
       "      <td>363</td>\n",
       "      <td>7615</td>\n",
       "      <td>5944</td>\n",
       "      <td>2024-06-06T17:42:05.000Z</td>\n",
       "      <td>27</td>\n",
       "      <td>18</td>\n",
       "      <td>Discovery</td>\n",
       "      <td>T1087;T1087.002</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>User</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>133549</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>136104</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>289573</td>\n",
       "      <td>117668</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>Public</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Id  OrgId  IncidentId  AlertId                 Timestamp  \\\n",
       "0  1245540519230    657       11767    87199  2024-06-04T22:56:27.000Z   \n",
       "1  1400159342154      3       91158   632273  2024-06-03T12:58:26.000Z   \n",
       "2  1279900255923    145       32247   131719  2024-06-08T03:20:49.000Z   \n",
       "3    60129547292    222       15294   917686  2024-06-12T12:07:31.000Z   \n",
       "4   515396080539    363        7615     5944  2024-06-06T17:42:05.000Z   \n",
       "\n",
       "   DetectorId  AlertTitle           Category                  MitreTechniques  \\\n",
       "0         524         563    LateralMovement      T1021;T1047;T1105;T1569.002   \n",
       "1           2           2  CommandAndControl                              NaN   \n",
       "2        2932       10807    LateralMovement  T1021;T1027.002;T1027.005;T1105   \n",
       "3           0           0      InitialAccess                  T1078;T1078.004   \n",
       "4          27          18          Discovery                  T1087;T1087.002   \n",
       "\n",
       "    IncidentGrade ActionGrouped ActionGranular         EntityType  \\\n",
       "0  BenignPositive           NaN            NaN               User   \n",
       "1  BenignPositive           NaN            NaN            Machine   \n",
       "2  BenignPositive           NaN            NaN            Process   \n",
       "3   FalsePositive           NaN            NaN  CloudLogonSession   \n",
       "4  BenignPositive           NaN            NaN               User   \n",
       "\n",
       "  EvidenceRole  DeviceId  Sha256  IpAddress     Url  AccountSid  AccountUpn  \\\n",
       "0     Impacted     98799  138268     360606  160396        2610        3699   \n",
       "1     Impacted      1239  138268     360606  160396      441377      673934   \n",
       "2      Related     98799    4296     360606  160396      441377      673934   \n",
       "3      Related     98799  138268     360606  160396      441377      673934   \n",
       "4     Impacted     98799  138268     360606  160396      133549      673934   \n",
       "\n",
       "   AccountObjectId  AccountName  DeviceName  NetworkMessageId  EmailClusterId  \\\n",
       "0           425863          863      153085            529644             NaN   \n",
       "1           425863       453297        2833            529644             NaN   \n",
       "2           425863       453297      153085            529644             NaN   \n",
       "3           425863       453297      153085            529644             NaN   \n",
       "4           425863       136104      153085            529644             NaN   \n",
       "\n",
       "   RegistryKey  RegistryValueName  RegistryValueData  ApplicationId  \\\n",
       "0         1631                635                860           2251   \n",
       "1         1631                635                860           2251   \n",
       "2         1631                635                860           2251   \n",
       "3         1631                635                860           2251   \n",
       "4         1631                635                860           2251   \n",
       "\n",
       "   ApplicationName  OAuthApplicationId ThreatFamily  FileName  FolderPath  \\\n",
       "0             3421                 881          NaN    289573      117668   \n",
       "1             3421                 881          NaN    289573      117668   \n",
       "2             3421                 881          NaN        14          22   \n",
       "3             3421                 881          NaN    289573      117668   \n",
       "4             3421                 881          NaN    289573      117668   \n",
       "\n",
       "   ResourceIdName ResourceType       Roles  OSFamily  OSVersion  \\\n",
       "0            3586          NaN         NaN         5         66   \n",
       "1            3586          NaN         NaN         0          0   \n",
       "2            3586          NaN         NaN         5         66   \n",
       "3            3586          NaN         NaN         5         66   \n",
       "4            3586          NaN  Suspicious         5         66   \n",
       "\n",
       "  AntispamDirection SuspicionLevel LastVerdict  CountryCode  State   City  \\\n",
       "0               NaN     Suspicious  Suspicious          242   1445  10630   \n",
       "1               NaN     Suspicious  Suspicious          242   1445  10630   \n",
       "2               NaN     Suspicious  Suspicious          242   1445  10630   \n",
       "3               NaN            NaN         NaN          242   1445  10630   \n",
       "4               NaN            NaN         NaN          242   1445  10630   \n",
       "\n",
       "     Usage  \n",
       "0  Private  \n",
       "1   Public  \n",
       "2   Public  \n",
       "3   Public  \n",
       "4   Public  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#importing the test data \n",
    "testdata = pd.read_csv('GUIDE_Test.csv')\n",
    "\n",
    "testdata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4147992, 46)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testdata.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "testdata.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4147888, 46)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testdata.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                          0\n",
       "OrgId                       0\n",
       "IncidentId                  0\n",
       "AlertId                     0\n",
       "Timestamp                   0\n",
       "DetectorId                  0\n",
       "AlertTitle                  0\n",
       "Category                    0\n",
       "MitreTechniques       2307084\n",
       "IncidentGrade               0\n",
       "ActionGrouped         4145975\n",
       "ActionGranular        4145975\n",
       "EntityType                  0\n",
       "EvidenceRole                0\n",
       "DeviceId                    0\n",
       "Sha256                      0\n",
       "IpAddress                   0\n",
       "Url                         0\n",
       "AccountSid                  0\n",
       "AccountUpn                  0\n",
       "AccountObjectId             0\n",
       "AccountName                 0\n",
       "DeviceName                  0\n",
       "NetworkMessageId            0\n",
       "EmailClusterId        4106182\n",
       "RegistryKey                 0\n",
       "RegistryValueName           0\n",
       "RegistryValueData           0\n",
       "ApplicationId               0\n",
       "ApplicationName             0\n",
       "OAuthApplicationId          0\n",
       "ThreatFamily          4116518\n",
       "FileName                    0\n",
       "FolderPath                  0\n",
       "ResourceIdName              0\n",
       "ResourceType          4144894\n",
       "Roles                 4039214\n",
       "OSFamily                    0\n",
       "OSVersion                   0\n",
       "AntispamDirection     4071379\n",
       "SuspicionLevel        3498101\n",
       "LastVerdict           3155218\n",
       "CountryCode                 0\n",
       "State                       0\n",
       "City                        0\n",
       "Usage                       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testdata.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Converting Timestamp to date time\n",
    "\n",
    "testdata['Timestamp'] = pd.to_datetime(testdata['Timestamp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "datetime64[ns, UTC]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0   2024-06-04 22:56:27+00:00\n",
       "1   2024-06-03 12:58:26+00:00\n",
       "2   2024-06-08 03:20:49+00:00\n",
       "3   2024-06-12 12:07:31+00:00\n",
       "4   2024-06-06 17:42:05+00:00\n",
       "Name: Timestamp, dtype: datetime64[ns, UTC]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(testdata['Timestamp'].dtype)\n",
    "\n",
    "testdata['Timestamp'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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>Id</th>\n",
       "      <th>OrgId</th>\n",
       "      <th>IncidentId</th>\n",
       "      <th>AlertId</th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>DetectorId</th>\n",
       "      <th>AlertTitle</th>\n",
       "      <th>Category</th>\n",
       "      <th>MitreTechniques</th>\n",
       "      <th>IncidentGrade</th>\n",
       "      <th>ActionGrouped</th>\n",
       "      <th>ActionGranular</th>\n",
       "      <th>EntityType</th>\n",
       "      <th>EvidenceRole</th>\n",
       "      <th>DeviceId</th>\n",
       "      <th>Sha256</th>\n",
       "      <th>IpAddress</th>\n",
       "      <th>Url</th>\n",
       "      <th>AccountSid</th>\n",
       "      <th>AccountUpn</th>\n",
       "      <th>AccountObjectId</th>\n",
       "      <th>AccountName</th>\n",
       "      <th>DeviceName</th>\n",
       "      <th>NetworkMessageId</th>\n",
       "      <th>EmailClusterId</th>\n",
       "      <th>RegistryKey</th>\n",
       "      <th>RegistryValueName</th>\n",
       "      <th>RegistryValueData</th>\n",
       "      <th>ApplicationId</th>\n",
       "      <th>ApplicationName</th>\n",
       "      <th>OAuthApplicationId</th>\n",
       "      <th>ThreatFamily</th>\n",
       "      <th>FileName</th>\n",
       "      <th>FolderPath</th>\n",
       "      <th>ResourceIdName</th>\n",
       "      <th>ResourceType</th>\n",
       "      <th>Roles</th>\n",
       "      <th>OSFamily</th>\n",
       "      <th>OSVersion</th>\n",
       "      <th>AntispamDirection</th>\n",
       "      <th>SuspicionLevel</th>\n",
       "      <th>LastVerdict</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>State</th>\n",
       "      <th>City</th>\n",
       "      <th>Usage</th>\n",
       "      <th>Day</th>\n",
       "      <th>Month</th>\n",
       "      <th>Year</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1245540519230</td>\n",
       "      <td>657</td>\n",
       "      <td>11767</td>\n",
       "      <td>87199</td>\n",
       "      <td>2024-06-04 22:56:27+00:00</td>\n",
       "      <td>524</td>\n",
       "      <td>563</td>\n",
       "      <td>LateralMovement</td>\n",
       "      <td>T1021;T1047;T1105;T1569.002</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>User</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>2610</td>\n",
       "      <td>3699</td>\n",
       "      <td>425863</td>\n",
       "      <td>863</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>289573</td>\n",
       "      <td>117668</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>Private</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>2024</td>\n",
       "      <td>22</td>\n",
       "      <td>22:56:27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1400159342154</td>\n",
       "      <td>3</td>\n",
       "      <td>91158</td>\n",
       "      <td>632273</td>\n",
       "      <td>2024-06-03 12:58:26+00:00</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>CommandAndControl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Machine</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>1239</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>2833</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>289573</td>\n",
       "      <td>117668</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>Public</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>2024</td>\n",
       "      <td>12</td>\n",
       "      <td>12:58:26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1279900255923</td>\n",
       "      <td>145</td>\n",
       "      <td>32247</td>\n",
       "      <td>131719</td>\n",
       "      <td>2024-06-08 03:20:49+00:00</td>\n",
       "      <td>2932</td>\n",
       "      <td>10807</td>\n",
       "      <td>LateralMovement</td>\n",
       "      <td>T1021;T1027.002;T1027.005;T1105</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Process</td>\n",
       "      <td>Related</td>\n",
       "      <td>98799</td>\n",
       "      <td>4296</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>22</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>Public</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>2024</td>\n",
       "      <td>3</td>\n",
       "      <td>03:20:49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60129547292</td>\n",
       "      <td>222</td>\n",
       "      <td>15294</td>\n",
       "      <td>917686</td>\n",
       "      <td>2024-06-12 12:07:31+00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>InitialAccess</td>\n",
       "      <td>T1078;T1078.004</td>\n",
       "      <td>FalsePositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CloudLogonSession</td>\n",
       "      <td>Related</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>441377</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>289573</td>\n",
       "      <td>117668</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>Public</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>2024</td>\n",
       "      <td>12</td>\n",
       "      <td>12:07:31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>515396080539</td>\n",
       "      <td>363</td>\n",
       "      <td>7615</td>\n",
       "      <td>5944</td>\n",
       "      <td>2024-06-06 17:42:05+00:00</td>\n",
       "      <td>27</td>\n",
       "      <td>18</td>\n",
       "      <td>Discovery</td>\n",
       "      <td>T1087;T1087.002</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>User</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>98799</td>\n",
       "      <td>138268</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>133549</td>\n",
       "      <td>673934</td>\n",
       "      <td>425863</td>\n",
       "      <td>136104</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1631</td>\n",
       "      <td>635</td>\n",
       "      <td>860</td>\n",
       "      <td>2251</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>289573</td>\n",
       "      <td>117668</td>\n",
       "      <td>3586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Suspicious</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>242</td>\n",
       "      <td>1445</td>\n",
       "      <td>10630</td>\n",
       "      <td>Public</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>2024</td>\n",
       "      <td>17</td>\n",
       "      <td>17:42:05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Id  OrgId  IncidentId  AlertId                 Timestamp  \\\n",
       "0  1245540519230    657       11767    87199 2024-06-04 22:56:27+00:00   \n",
       "1  1400159342154      3       91158   632273 2024-06-03 12:58:26+00:00   \n",
       "2  1279900255923    145       32247   131719 2024-06-08 03:20:49+00:00   \n",
       "3    60129547292    222       15294   917686 2024-06-12 12:07:31+00:00   \n",
       "4   515396080539    363        7615     5944 2024-06-06 17:42:05+00:00   \n",
       "\n",
       "   DetectorId  AlertTitle           Category                  MitreTechniques  \\\n",
       "0         524         563    LateralMovement      T1021;T1047;T1105;T1569.002   \n",
       "1           2           2  CommandAndControl                              NaN   \n",
       "2        2932       10807    LateralMovement  T1021;T1027.002;T1027.005;T1105   \n",
       "3           0           0      InitialAccess                  T1078;T1078.004   \n",
       "4          27          18          Discovery                  T1087;T1087.002   \n",
       "\n",
       "    IncidentGrade ActionGrouped ActionGranular         EntityType  \\\n",
       "0  BenignPositive           NaN            NaN               User   \n",
       "1  BenignPositive           NaN            NaN            Machine   \n",
       "2  BenignPositive           NaN            NaN            Process   \n",
       "3   FalsePositive           NaN            NaN  CloudLogonSession   \n",
       "4  BenignPositive           NaN            NaN               User   \n",
       "\n",
       "  EvidenceRole  DeviceId  Sha256  IpAddress     Url  AccountSid  AccountUpn  \\\n",
       "0     Impacted     98799  138268     360606  160396        2610        3699   \n",
       "1     Impacted      1239  138268     360606  160396      441377      673934   \n",
       "2      Related     98799    4296     360606  160396      441377      673934   \n",
       "3      Related     98799  138268     360606  160396      441377      673934   \n",
       "4     Impacted     98799  138268     360606  160396      133549      673934   \n",
       "\n",
       "   AccountObjectId  AccountName  DeviceName  NetworkMessageId  EmailClusterId  \\\n",
       "0           425863          863      153085            529644             NaN   \n",
       "1           425863       453297        2833            529644             NaN   \n",
       "2           425863       453297      153085            529644             NaN   \n",
       "3           425863       453297      153085            529644             NaN   \n",
       "4           425863       136104      153085            529644             NaN   \n",
       "\n",
       "   RegistryKey  RegistryValueName  RegistryValueData  ApplicationId  \\\n",
       "0         1631                635                860           2251   \n",
       "1         1631                635                860           2251   \n",
       "2         1631                635                860           2251   \n",
       "3         1631                635                860           2251   \n",
       "4         1631                635                860           2251   \n",
       "\n",
       "   ApplicationName  OAuthApplicationId ThreatFamily  FileName  FolderPath  \\\n",
       "0             3421                 881          NaN    289573      117668   \n",
       "1             3421                 881          NaN    289573      117668   \n",
       "2             3421                 881          NaN        14          22   \n",
       "3             3421                 881          NaN    289573      117668   \n",
       "4             3421                 881          NaN    289573      117668   \n",
       "\n",
       "   ResourceIdName ResourceType       Roles  OSFamily  OSVersion  \\\n",
       "0            3586          NaN         NaN         5         66   \n",
       "1            3586          NaN         NaN         0          0   \n",
       "2            3586          NaN         NaN         5         66   \n",
       "3            3586          NaN         NaN         5         66   \n",
       "4            3586          NaN  Suspicious         5         66   \n",
       "\n",
       "  AntispamDirection SuspicionLevel LastVerdict  CountryCode  State   City  \\\n",
       "0               NaN     Suspicious  Suspicious          242   1445  10630   \n",
       "1               NaN     Suspicious  Suspicious          242   1445  10630   \n",
       "2               NaN     Suspicious  Suspicious          242   1445  10630   \n",
       "3               NaN            NaN         NaN          242   1445  10630   \n",
       "4               NaN            NaN         NaN          242   1445  10630   \n",
       "\n",
       "     Usage  Day  Month  Year  Hour      Time  \n",
       "0  Private    4      6  2024    22  22:56:27  \n",
       "1   Public    3      6  2024    12  12:58:26  \n",
       "2   Public    8      6  2024     3  03:20:49  \n",
       "3   Public   12      6  2024    12  12:07:31  \n",
       "4   Public    6      6  2024    17  17:42:05  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Extracting Day, Month, Year, Hour and Time from Timestamp\n",
    "\n",
    "testdata[\"Day\"] = testdata[\"Timestamp\"].dt.day\n",
    "testdata[\"Month\"] = testdata[\"Timestamp\"].dt.month\n",
    "testdata[\"Year\"] = testdata[\"Timestamp\"].dt.year\n",
    "testdata[\"Hour\"] = testdata[\"Timestamp\"].dt.hour\n",
    "testdata[\"Time\"] = testdata[\"Timestamp\"].dt.time\n",
    "\n",
    "testdata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "testdata.drop([\"Sha256\",\"AccountSid\",\"AccountUpn\",\"AccountObjectId\",\"RegistryValueName\",\"ApplicationId\",\"FolderPath\",\n",
    "                \"CountryCode\",\"State\",\"Month\", \"OSFamily\", \"DeviceId\" ,\"Timestamp\",\n",
    "               \"MitreTechniques\",\"ActionGrouped\",\"ActionGranular\",\"EmailClusterId\",\"ThreatFamily\",\"ResourceType\",\"Roles\",\n",
    "                \"AntispamDirection\",\"SuspicionLevel\",\"LastVerdict\"], axis =1 , inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "testdata.drop('Usage',axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>Id</th>\n",
       "      <th>OrgId</th>\n",
       "      <th>IncidentId</th>\n",
       "      <th>AlertId</th>\n",
       "      <th>DetectorId</th>\n",
       "      <th>AlertTitle</th>\n",
       "      <th>Category</th>\n",
       "      <th>IncidentGrade</th>\n",
       "      <th>EntityType</th>\n",
       "      <th>EvidenceRole</th>\n",
       "      <th>IpAddress</th>\n",
       "      <th>Url</th>\n",
       "      <th>AccountName</th>\n",
       "      <th>DeviceName</th>\n",
       "      <th>NetworkMessageId</th>\n",
       "      <th>RegistryKey</th>\n",
       "      <th>RegistryValueData</th>\n",
       "      <th>ApplicationName</th>\n",
       "      <th>OAuthApplicationId</th>\n",
       "      <th>FileName</th>\n",
       "      <th>ResourceIdName</th>\n",
       "      <th>OSVersion</th>\n",
       "      <th>City</th>\n",
       "      <th>Day</th>\n",
       "      <th>Year</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1245540519230</td>\n",
       "      <td>657</td>\n",
       "      <td>11767</td>\n",
       "      <td>87199</td>\n",
       "      <td>524</td>\n",
       "      <td>563</td>\n",
       "      <td>LateralMovement</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>User</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>863</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>860</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>289573</td>\n",
       "      <td>3586</td>\n",
       "      <td>66</td>\n",
       "      <td>10630</td>\n",
       "      <td>4</td>\n",
       "      <td>2024</td>\n",
       "      <td>22</td>\n",
       "      <td>22:56:27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1400159342154</td>\n",
       "      <td>3</td>\n",
       "      <td>91158</td>\n",
       "      <td>632273</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>CommandAndControl</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>Machine</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>453297</td>\n",
       "      <td>2833</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>860</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>289573</td>\n",
       "      <td>3586</td>\n",
       "      <td>0</td>\n",
       "      <td>10630</td>\n",
       "      <td>3</td>\n",
       "      <td>2024</td>\n",
       "      <td>12</td>\n",
       "      <td>12:58:26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1279900255923</td>\n",
       "      <td>145</td>\n",
       "      <td>32247</td>\n",
       "      <td>131719</td>\n",
       "      <td>2932</td>\n",
       "      <td>10807</td>\n",
       "      <td>LateralMovement</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>Process</td>\n",
       "      <td>Related</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>860</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>14</td>\n",
       "      <td>3586</td>\n",
       "      <td>66</td>\n",
       "      <td>10630</td>\n",
       "      <td>8</td>\n",
       "      <td>2024</td>\n",
       "      <td>3</td>\n",
       "      <td>03:20:49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60129547292</td>\n",
       "      <td>222</td>\n",
       "      <td>15294</td>\n",
       "      <td>917686</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>InitialAccess</td>\n",
       "      <td>FalsePositive</td>\n",
       "      <td>CloudLogonSession</td>\n",
       "      <td>Related</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>453297</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>860</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>289573</td>\n",
       "      <td>3586</td>\n",
       "      <td>66</td>\n",
       "      <td>10630</td>\n",
       "      <td>12</td>\n",
       "      <td>2024</td>\n",
       "      <td>12</td>\n",
       "      <td>12:07:31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>515396080539</td>\n",
       "      <td>363</td>\n",
       "      <td>7615</td>\n",
       "      <td>5944</td>\n",
       "      <td>27</td>\n",
       "      <td>18</td>\n",
       "      <td>Discovery</td>\n",
       "      <td>BenignPositive</td>\n",
       "      <td>User</td>\n",
       "      <td>Impacted</td>\n",
       "      <td>360606</td>\n",
       "      <td>160396</td>\n",
       "      <td>136104</td>\n",
       "      <td>153085</td>\n",
       "      <td>529644</td>\n",
       "      <td>1631</td>\n",
       "      <td>860</td>\n",
       "      <td>3421</td>\n",
       "      <td>881</td>\n",
       "      <td>289573</td>\n",
       "      <td>3586</td>\n",
       "      <td>66</td>\n",
       "      <td>10630</td>\n",
       "      <td>6</td>\n",
       "      <td>2024</td>\n",
       "      <td>17</td>\n",
       "      <td>17:42:05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Id  OrgId  IncidentId  AlertId  DetectorId  AlertTitle  \\\n",
       "0  1245540519230    657       11767    87199         524         563   \n",
       "1  1400159342154      3       91158   632273           2           2   \n",
       "2  1279900255923    145       32247   131719        2932       10807   \n",
       "3    60129547292    222       15294   917686           0           0   \n",
       "4   515396080539    363        7615     5944          27          18   \n",
       "\n",
       "            Category   IncidentGrade         EntityType EvidenceRole  \\\n",
       "0    LateralMovement  BenignPositive               User     Impacted   \n",
       "1  CommandAndControl  BenignPositive            Machine     Impacted   \n",
       "2    LateralMovement  BenignPositive            Process      Related   \n",
       "3      InitialAccess   FalsePositive  CloudLogonSession      Related   \n",
       "4          Discovery  BenignPositive               User     Impacted   \n",
       "\n",
       "   IpAddress     Url  AccountName  DeviceName  NetworkMessageId  RegistryKey  \\\n",
       "0     360606  160396          863      153085            529644         1631   \n",
       "1     360606  160396       453297        2833            529644         1631   \n",
       "2     360606  160396       453297      153085            529644         1631   \n",
       "3     360606  160396       453297      153085            529644         1631   \n",
       "4     360606  160396       136104      153085            529644         1631   \n",
       "\n",
       "   RegistryValueData  ApplicationName  OAuthApplicationId  FileName  \\\n",
       "0                860             3421                 881    289573   \n",
       "1                860             3421                 881    289573   \n",
       "2                860             3421                 881        14   \n",
       "3                860             3421                 881    289573   \n",
       "4                860             3421                 881    289573   \n",
       "\n",
       "   ResourceIdName  OSVersion   City  Day  Year  Hour      Time  \n",
       "0            3586         66  10630    4  2024    22  22:56:27  \n",
       "1            3586          0  10630    3  2024    12  12:58:26  \n",
       "2            3586         66  10630    8  2024     3  03:20:49  \n",
       "3            3586         66  10630   12  2024    12  12:07:31  \n",
       "4            3586         66  10630    6  2024    17  17:42:05  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testdata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                     int64\n",
       "OrgId                  int64\n",
       "IncidentId             int64\n",
       "AlertId                int64\n",
       "DetectorId             int64\n",
       "AlertTitle             int64\n",
       "Category              object\n",
       "IncidentGrade         object\n",
       "EntityType            object\n",
       "EvidenceRole          object\n",
       "IpAddress              int64\n",
       "Url                    int64\n",
       "AccountName            int64\n",
       "DeviceName             int64\n",
       "NetworkMessageId       int64\n",
       "RegistryKey            int64\n",
       "RegistryValueData      int64\n",
       "ApplicationName        int64\n",
       "OAuthApplicationId     int64\n",
       "FileName               int64\n",
       "ResourceIdName         int64\n",
       "OSVersion              int64\n",
       "City                   int64\n",
       "Day                    int32\n",
       "Year                   int32\n",
       "Hour                   int32\n",
       "Time                  object\n",
       "dtype: object"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testdata.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>OrgId</th>\n",
       "      <th>IncidentId</th>\n",
       "      <th>AlertId</th>\n",
       "      <th>DetectorId</th>\n",
       "      <th>AlertTitle</th>\n",
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       "      <th>2</th>\n",
       "      <td>1279900255923</td>\n",
       "      <td>145</td>\n",
       "      <td>32247</td>\n",
       "      <td>131719</td>\n",
       "      <td>2932</td>\n",
       "      <td>10807</td>\n",
       "      <td>11</td>\n",
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       "      <td>23</td>\n",
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       "      <td>881</td>\n",
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       "      <td>2024</td>\n",
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       "      <td>6</td>\n",
       "      <td>2024</td>\n",
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      ],
      "text/plain": [
       "              Id  OrgId  IncidentId  AlertId  DetectorId  AlertTitle  \\\n",
       "0  1245540519230    657       11767    87199         524         563   \n",
       "1  1400159342154      3       91158   632273           2           2   \n",
       "2  1279900255923    145       32247   131719        2932       10807   \n",
       "3    60129547292    222       15294   917686           0           0   \n",
       "4   515396080539    363        7615     5944          27          18   \n",
       "\n",
       "   Category  IncidentGrade  EntityType  EvidenceRole  IpAddress     Url  \\\n",
       "0        11              0          28             0     360606  160396   \n",
       "1         1              0          15             0     360606  160396   \n",
       "2        11              0          23             1     360606  160396   \n",
       "3        10              1           7             1     360606  160396   \n",
       "4         5              0          28             0     360606  160396   \n",
       "\n",
       "   AccountName  DeviceName  NetworkMessageId  RegistryKey  RegistryValueData  \\\n",
       "0          863      153085            529644         1631                860   \n",
       "1       453297        2833            529644         1631                860   \n",
       "2       453297      153085            529644         1631                860   \n",
       "3       453297      153085            529644         1631                860   \n",
       "4       136104      153085            529644         1631                860   \n",
       "\n",
       "   ApplicationName  OAuthApplicationId  FileName  ResourceIdName  OSVersion  \\\n",
       "0             3421                 881    289573            3586         66   \n",
       "1             3421                 881    289573            3586          0   \n",
       "2             3421                 881        14            3586         66   \n",
       "3             3421                 881    289573            3586         66   \n",
       "4             3421                 881    289573            3586         66   \n",
       "\n",
       "    City  Day  Year  Hour   Time  \n",
       "0  10630    4  2024    22  82520  \n",
       "1  10630    3  2024    12  46649  \n",
       "2  10630    8  2024     3  12037  \n",
       "3  10630   12  2024    12  43594  \n",
       "4  10630    6  2024    17  63665  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Encoding categorical variables of testdata\n",
    "\n",
    "categorical = testdata.select_dtypes(include=['object']).columns\n",
    "\n",
    "for feature in categorical:\n",
    "    encoder = LabelEncoder()\n",
    "    testdata[feature] = encoder.fit_transform(testdata[feature])\n",
    "\n",
    "testdata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "testdata.to_csv('testdata_processed.csv', index=False)"
   ]
  }
 ],
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