diff --git a/.gitignore b/.gitignore
index 4d3742a..a013976 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,4 @@
 cleaned_data.csv
 processed_data.csv
-df_woe.csv
\ No newline at end of file
+df_woe.csv
+final_model.pkl
\ No newline at end of file
diff --git a/notebooks/Modelling.ipynb b/notebooks/Modelling.ipynb
index c99ec90..ced4f5a 100644
--- a/notebooks/Modelling.ipynb
+++ b/notebooks/Modelling.ipynb
@@ -2,36 +2,37 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Import necessary libraries\n",
     "import pandas as pd\n",
     "from sklearn.model_selection import train_test_split, GridSearchCV, RandomizedSearchCV\n",
-    "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n",
+    "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier, VotingClassifier\n",
     "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score, roc_curve\n",
+    "from sklearn.linear_model import LogisticRegression\n",
     "from sklearn.model_selection import cross_val_score\n",
-    "from sklearn.preprocessing import LabelEncoder\n",
+    "from sklearn.preprocessing import LabelEncoder, StandardScaler\n",
     "import matplotlib.pyplot as plt\n",
-    "import numpy as np"
+    "import seaborn as sns\n",
+    "import pickle  # For saving the model"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Index(['TransactionYear', 'Value', 'ChannelId_woe', 'TransactionAmountStd',\n",
+      "Index(['Value', 'ChannelId_woe', 'TransactionAmountStd',\n",
       "       'AverageTransactionAmount', 'TotalTransactionAmount', 'RiskLabel',\n",
-      "       'TransactionDay', 'FraudResult', 'TransactionCount', 'TransactionHour',\n",
-      "       'Amount', 'ProductCategory_woe', 'CountryCode', 'ProviderId_woe',\n",
-      "       'TransactionMonth', 'RFMS_Score', 'PricingStrategy', 'Monetary_woe',\n",
-      "       'Seniority_woe', 'Frequency_woe', 'Recency_woe'],\n",
+      "       'TransactionDay', 'TransactionCount', 'TransactionHour',\n",
+      "       'ProductCategory_woe', 'ProviderId_woe', 'TransactionMonth',\n",
+      "       'Monetary_woe', 'Seniority_woe', 'Frequency_woe', 'Recency_woe'],\n",
       "      dtype='object')\n"
      ]
     }
@@ -39,33 +40,321 @@
    "source": [
     "# Load the dataset (replace 'path_to_your_data.csv' with your actual file path)\n",
     "df = pd.read_csv('C:/Users/Administrator/Documents/kifiya/Week_6/df_woe.csv')\n",
-    "df = df.drop(columns=['CustomerId', 'TransactionId','SubscriptionId','AccountId','ProductId','BatchId','TransactionStartTime','CurrencyCode'])\n",
-    "print(df.columns)"
+    "df = df.drop(columns=['TransactionId','SubscriptionId','AccountId','ProductId','BatchId',\n",
+    "                      'CustomerId','CurrencyCode','CountryCode','TransactionYear','TransactionStartTime',\n",
+    "                      'FraudResult','PricingStrategy','RFMS_Score','Amount'])\n",
+    "print(df.columns)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 3,
+   "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>Value</th>\n",
+       "      <th>ChannelId_woe</th>\n",
+       "      <th>TransactionAmountStd</th>\n",
+       "      <th>AverageTransactionAmount</th>\n",
+       "      <th>TotalTransactionAmount</th>\n",
+       "      <th>RiskLabel</th>\n",
+       "      <th>TransactionDay</th>\n",
+       "      <th>TransactionCount</th>\n",
+       "      <th>TransactionHour</th>\n",
+       "      <th>ProductCategory_woe</th>\n",
+       "      <th>ProviderId_woe</th>\n",
+       "      <th>TransactionMonth</th>\n",
+       "      <th>Monetary_woe</th>\n",
+       "      <th>Seniority_woe</th>\n",
+       "      <th>Frequency_woe</th>\n",
+       "      <th>Recency_woe</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-0.072291</td>\n",
+       "      <td>0.484515</td>\n",
+       "      <td>-0.167016</td>\n",
+       "      <td>-0.067623</td>\n",
+       "      <td>0.170118</td>\n",
+       "      <td>good</td>\n",
+       "      <td>15</td>\n",
+       "      <td>119</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1.690824</td>\n",
+       "      <td>-2.906446</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0.610597</td>\n",
+       "      <td>0.440422</td>\n",
+       "      <td>0.350225</td>\n",
+       "      <td>-1.762156</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>-0.080251</td>\n",
+       "      <td>-2.736867</td>\n",
+       "      <td>-0.167016</td>\n",
+       "      <td>-0.067623</td>\n",
+       "      <td>0.170118</td>\n",
+       "      <td>good</td>\n",
+       "      <td>15</td>\n",
+       "      <td>119</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.607033</td>\n",
+       "      <td>-2.906446</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0.610597</td>\n",
+       "      <td>0.440422</td>\n",
+       "      <td>0.350225</td>\n",
+       "      <td>-1.762156</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-0.076352</td>\n",
+       "      <td>0.484515</td>\n",
+       "      <td>-0.201209</td>\n",
+       "      <td>-0.072568</td>\n",
+       "      <td>0.165122</td>\n",
+       "      <td>good</td>\n",
+       "      <td>15</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1.690824</td>\n",
+       "      <td>-2.906446</td>\n",
+       "      <td>11</td>\n",
+       "      <td>-1.548223</td>\n",
+       "      <td>0.440422</td>\n",
+       "      <td>-1.487822</td>\n",
+       "      <td>1.065608</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.096648</td>\n",
+       "      <td>0.484515</td>\n",
+       "      <td>-0.008243</td>\n",
+       "      <td>-0.008155</td>\n",
+       "      <td>0.175567</td>\n",
+       "      <td>good</td>\n",
+       "      <td>15</td>\n",
+       "      <td>38</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.607033</td>\n",
+       "      <td>1.939442</td>\n",
+       "      <td>11</td>\n",
+       "      <td>-1.548223</td>\n",
+       "      <td>0.440422</td>\n",
+       "      <td>-0.535832</td>\n",
+       "      <td>0.608133</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>-0.075183</td>\n",
+       "      <td>-2.736867</td>\n",
+       "      <td>-0.008243</td>\n",
+       "      <td>-0.008155</td>\n",
+       "      <td>0.175567</td>\n",
+       "      <td>good</td>\n",
+       "      <td>15</td>\n",
+       "      <td>38</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.607033</td>\n",
+       "      <td>-2.906446</td>\n",
+       "      <td>11</td>\n",
+       "      <td>-1.548223</td>\n",
+       "      <td>0.440422</td>\n",
+       "      <td>-0.535832</td>\n",
+       "      <td>0.608133</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Value  ChannelId_woe  TransactionAmountStd  AverageTransactionAmount  \\\n",
+       "0 -0.072291       0.484515             -0.167016                 -0.067623   \n",
+       "1 -0.080251      -2.736867             -0.167016                 -0.067623   \n",
+       "2 -0.076352       0.484515             -0.201209                 -0.072568   \n",
+       "3  0.096648       0.484515             -0.008243                 -0.008155   \n",
+       "4 -0.075183      -2.736867             -0.008243                 -0.008155   \n",
+       "\n",
+       "   TotalTransactionAmount RiskLabel  TransactionDay  TransactionCount  \\\n",
+       "0                0.170118      good              15               119   \n",
+       "1                0.170118      good              15               119   \n",
+       "2                0.165122      good              15                 2   \n",
+       "3                0.175567      good              15                38   \n",
+       "4                0.175567      good              15                38   \n",
+       "\n",
+       "   TransactionHour  ProductCategory_woe  ProviderId_woe  TransactionMonth  \\\n",
+       "0                2            -1.690824       -2.906446                11   \n",
+       "1                2             0.607033       -2.906446                11   \n",
+       "2                2            -1.690824       -2.906446                11   \n",
+       "3                3             0.607033        1.939442                11   \n",
+       "4                3             0.607033       -2.906446                11   \n",
+       "\n",
+       "   Monetary_woe  Seniority_woe  Frequency_woe  Recency_woe  \n",
+       "0      0.610597       0.440422       0.350225    -1.762156  \n",
+       "1      0.610597       0.440422       0.350225    -1.762156  \n",
+       "2     -1.548223       0.440422      -1.487822     1.065608  \n",
+       "3     -1.548223       0.440422      -0.535832     0.608133  \n",
+       "4     -1.548223       0.440422      -0.535832     0.608133  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "display(df.head())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "label_encoder = LabelEncoder()\n",
+    "# Fit and transform the RiskLabel column\n",
+    "df['RiskLabel'] = label_encoder.fit_transform(df['RiskLabel'])\n",
+    "\n",
+    "plt.figure(figsize=(12, 8))\n",
+    "correlation_matrix = df.corr()\n",
+    "sns.heatmap(correlation_matrix, annot=True, fmt='.2f')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to evaluate model performance\n",
+    "def evaluate_model(model, X_test, y_test):\n",
+    "    y_pred = model.predict(X_test)\n",
+    "    accuracy = accuracy_score(y_test, y_pred)\n",
+    "    precision = precision_score(y_test, y_pred)\n",
+    "    recall = recall_score(y_test, y_pred)\n",
+    "    f1 = f1_score(y_test, y_pred)\n",
+    "    roc_auc = roc_auc_score(y_test, model.predict_proba(X_test)[:, 1])\n",
+    "\n",
+    "    print(f\"Accuracy: {accuracy:.4f}\")\n",
+    "    print(f\"Precision: {precision:.4f}\")\n",
+    "    print(f\"Recall: {recall:.4f}\")\n",
+    "    print(f\"F1 Score: {f1:.4f}\")\n",
+    "    print(f\"ROC-AUC: {roc_auc:.4f}\")\n",
+    "\n",
+    "    return roc_auc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Initialize the LabelEncoder\n",
     "label_encoder = LabelEncoder()\n",
-    "# Fit and transform the risklabel column\n",
+    "# Fit and transform the RiskLabel column\n",
     "df['RiskLabel'] = label_encoder.fit_transform(df['RiskLabel'])\n",
     "\n",
-    "\n",
     "# Split data into features (X) and target variable (y)\n",
-    "X = df.drop(columns=['FraudResult','RiskLabel'])  # Features\n",
-    "y = df['RiskLabel']  # Target variable\n",
+    "X = df.drop(columns=['RiskLabel'])  # Features\n",
+    "y = df['RiskLabel']  # Target variable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Selected Features using Lasso Regression:\n",
+      "Index(['Value', 'ChannelId_woe', 'TransactionAmountStd',\n",
+      "       'AverageTransactionAmount', 'TotalTransactionAmount', 'TransactionDay',\n",
+      "       'TransactionCount', 'TransactionHour', 'ProductCategory_woe',\n",
+      "       'ProviderId_woe', 'TransactionMonth', 'Monetary_woe', 'Seniority_woe',\n",
+      "       'Frequency_woe', 'Recency_woe'],\n",
+      "      dtype='object')\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\Administrator\\miniconda3\\envs\\jojo\\lib\\site-packages\\sklearn\\svm\\_base.py:1235: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Feature scaling using StandardScaler\n",
+    "scaler = StandardScaler()\n",
+    "X_scaled = scaler.fit_transform(X)\n",
+    "\n",
+    "# Logistic Regression with Lasso for feature selection\n",
+    "lasso = LogisticRegression(penalty='l1', solver='liblinear')  # L1 regularization\n",
+    "lasso.fit(X_scaled, y)\n",
+    "\n",
+    "# Get the non-zero coefficients (selected features)\n",
+    "coef = pd.Series(lasso.coef_[0], index=X.columns)\n",
+    "selected_features_lasso = coef[coef != 0].index\n",
+    "print(\"Selected Features using Lasso Regression:\")\n",
+    "print(selected_features_lasso)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Filter the dataset with the selected features\n",
+    "X_selected = df[selected_features_lasso]\n",
+    "\n",
     "\n",
     "# Split the data: 80% training and 20% testing\n",
-    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)"
+    "X_train, X_test, y_train, y_test = train_test_split(X_scaled, y, test_size=0.3, random_state=42)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -90,7 +379,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -98,9 +387,9 @@
      "output_type": "stream",
      "text": [
       "Fitting 5 folds for each of 81 candidates, totalling 405 fits\n",
-      "Best Random Forest Parameters: {'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}\n",
+      "Best Random Forest Parameters: {'max_depth': 30, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100}\n",
       "Fitting 5 folds for each of 50 candidates, totalling 250 fits\n",
-      "Best GBM Parameters: {'n_estimators': 100, 'min_samples_split': 10, 'min_samples_leaf': 4, 'max_depth': 3, 'learning_rate': 0.01}\n"
+      "Best GBM Parameters: {'n_estimators': 300, 'min_samples_split': 10, 'min_samples_leaf': 2, 'max_depth': 7, 'learning_rate': 0.1}\n"
      ]
     }
    ],
@@ -132,38 +421,14 @@
     "gbm_random_search = RandomizedSearchCV(estimator=gbm_model, param_distributions=gbm_param_grid, n_iter=50, cv=5, random_state=42, n_jobs=-1, verbose=2)\n",
     "gbm_random_search.fit(X_train, y_train)\n",
     "\n",
-    "print(\"Best GBM Parameters:\", gbm_random_search.best_params_)\n"
+    "print(\"Best GBM Parameters:\", gbm_random_search.best_params_)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Random Forest Performance:\n",
-      "Accuracy: 1.0000\n",
-      "Precision: 1.0000\n",
-      "Recall: 1.0000\n",
-      "F1 Score: 1.0000\n",
-      "ROC-AUC: 1.0000\n",
-      "\n",
-      "Gradient Boosting Performance:\n",
-      "Accuracy: 1.0000\n",
-      "Precision: 1.0000\n",
-      "Recall: 1.0000\n",
-      "F1 Score: 1.0000\n",
-      "ROC-AUC: 1.0000\n",
-      "\n",
-      "\n",
-      "Random Forest CV Average Score: 1.0\n",
-      "GBM CV Average Score: 1.0\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Function to evaluate model performance\n",
     "def evaluate_model(model, X_test, y_test):\n",
@@ -180,16 +445,75 @@
     "    print(f\"F1 Score: {f1:.4f}\")\n",
     "    print(f\"ROC-AUC: {roc_auc:.4f}\")\n",
     "\n",
-    "    return roc_auc\n",
-    "\n",
+    "    return roc_auc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Random Forest Performance:\n",
+      "Accuracy: 0.9994\n",
+      "Precision: 0.9991\n",
+      "Recall: 0.9996\n",
+      "F1 Score: 0.9994\n",
+      "ROC-AUC: 1.0000\n"
+     ]
+    }
+   ],
+   "source": [
     "# Evaluate Random Forest\n",
     "print(\"Random Forest Performance:\")\n",
-    "rf_roc_auc = evaluate_model(rf_model, X_test, y_test)\n",
-    "\n",
+    "rf_roc_auc = evaluate_model(rf_model, X_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Gradient Boosting Performance:\n",
+      "Accuracy: 0.9545\n",
+      "Precision: 0.9325\n",
+      "Recall: 0.9793\n",
+      "F1 Score: 0.9553\n",
+      "ROC-AUC: 0.9956\n"
+     ]
+    }
+   ],
+   "source": [
     "# Evaluate Gradient Boosting\n",
     "print(\"\\nGradient Boosting Performance:\")\n",
-    "gbm_roc_auc = evaluate_model(gbm_model, X_test, y_test)\n",
-    "\n",
+    "gbm_roc_auc = evaluate_model(gbm_model, X_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\n",
+      "Random Forest CV Average Score: 0.8937616176623557\n",
+      "GBM CV Average Score: 0.844870680263738\n"
+     ]
+    }
+   ],
+   "source": [
     "cv_scores_rf = cross_val_score(rf_model, X, y, cv=5)\n",
     "cv_scores_gbm = cross_val_score(gbm_model, X, y, cv=5)\n",
     "print(\"\\n\")\n",
@@ -199,12 +523,480 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "text/html": [
+       "<style>#sk-container-id-3 {\n",
+       "  /* Definition of color scheme common for light and dark mode */\n",
+       "  --sklearn-color-text: black;\n",
+       "  --sklearn-color-line: gray;\n",
+       "  /* Definition of color scheme for unfitted estimators */\n",
+       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+       "  --sklearn-color-unfitted-level-3: chocolate;\n",
+       "  /* Definition of color scheme for fitted estimators */\n",
+       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+       "\n",
+       "  /* Specific color for light theme */\n",
+       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-icon: #696969;\n",
+       "\n",
+       "  @media (prefers-color-scheme: dark) {\n",
+       "    /* Redefinition of color scheme for dark theme */\n",
+       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-icon: #878787;\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 pre {\n",
+       "  padding: 0;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 input.sk-hidden--visually {\n",
+       "  border: 0;\n",
+       "  clip: rect(1px 1px 1px 1px);\n",
+       "  clip: rect(1px, 1px, 1px, 1px);\n",
+       "  height: 1px;\n",
+       "  margin: -1px;\n",
+       "  overflow: hidden;\n",
+       "  padding: 0;\n",
+       "  position: absolute;\n",
+       "  width: 1px;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-dashed-wrapped {\n",
+       "  border: 1px dashed var(--sklearn-color-line);\n",
+       "  margin: 0 0.4em 0.5em 0.4em;\n",
+       "  box-sizing: border-box;\n",
+       "  padding-bottom: 0.4em;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-container {\n",
+       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+       "     so we also need the `!important` here to be able to override the\n",
+       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+       "  display: inline-block !important;\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-text-repr-fallback {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-parallel-item,\n",
+       "div.sk-serial,\n",
+       "div.sk-item {\n",
+       "  /* draw centered vertical line to link estimators */\n",
+       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+       "  background-size: 2px 100%;\n",
+       "  background-repeat: no-repeat;\n",
+       "  background-position: center center;\n",
+       "}\n",
+       "\n",
+       "/* Parallel-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-3 div.sk-parallel-item::after {\n",
+       "  content: \"\";\n",
+       "  width: 100%;\n",
+       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+       "  flex-grow: 1;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-parallel {\n",
+       "  display: flex;\n",
+       "  align-items: stretch;\n",
+       "  justify-content: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-parallel-item {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-parallel-item:first-child::after {\n",
+       "  align-self: flex-end;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-parallel-item:last-child::after {\n",
+       "  align-self: flex-start;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-parallel-item:only-child::after {\n",
+       "  width: 0;\n",
+       "}\n",
+       "\n",
+       "/* Serial-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-3 div.sk-serial {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  align-items: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  padding-right: 1em;\n",
+       "  padding-left: 1em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+       "clickable and can be expanded/collapsed.\n",
+       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+       "*/\n",
+       "\n",
+       "/* Pipeline and ColumnTransformer style (default) */\n",
+       "\n",
+       "#sk-container-id-3 div.sk-toggleable {\n",
+       "  /* Default theme specific background. It is overwritten whether we have a\n",
+       "  specific estimator or a Pipeline/ColumnTransformer */\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable label */\n",
+       "#sk-container-id-3 label.sk-toggleable__label {\n",
+       "  cursor: pointer;\n",
+       "  display: block;\n",
+       "  width: 100%;\n",
+       "  margin-bottom: 0;\n",
+       "  padding: 0.5em;\n",
+       "  box-sizing: border-box;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 label.sk-toggleable__label-arrow:before {\n",
+       "  /* Arrow on the left of the label */\n",
+       "  content: \"▸\";\n",
+       "  float: left;\n",
+       "  margin-right: 0.25em;\n",
+       "  color: var(--sklearn-color-icon);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable content - dropdown */\n",
+       "\n",
+       "#sk-container-id-3 div.sk-toggleable__content {\n",
+       "  max-height: 0;\n",
+       "  max-width: 0;\n",
+       "  overflow: hidden;\n",
+       "  text-align: left;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-toggleable__content.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-toggleable__content pre {\n",
+       "  margin: 0.2em;\n",
+       "  border-radius: 0.25em;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-toggleable__content.fitted pre {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+       "  /* Expand drop-down */\n",
+       "  max-height: 200px;\n",
+       "  max-width: 100%;\n",
+       "  overflow: auto;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+       "  content: \"▾\";\n",
+       "}\n",
+       "\n",
+       "/* Pipeline/ColumnTransformer-specific style */\n",
+       "\n",
+       "#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific style */\n",
+       "\n",
+       "/* Colorize estimator box */\n",
+       "#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-label label.sk-toggleable__label,\n",
+       "#sk-container-id-3 div.sk-label label {\n",
+       "  /* The background is the default theme color */\n",
+       "  color: var(--sklearn-color-text-on-default-background);\n",
+       "}\n",
+       "\n",
+       "/* On hover, darken the color of the background */\n",
+       "#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Label box, darken color on hover, fitted */\n",
+       "#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator label */\n",
+       "\n",
+       "#sk-container-id-3 div.sk-label label {\n",
+       "  font-family: monospace;\n",
+       "  font-weight: bold;\n",
+       "  display: inline-block;\n",
+       "  line-height: 1.2em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-label-container {\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific */\n",
+       "#sk-container-id-3 div.sk-estimator {\n",
+       "  font-family: monospace;\n",
+       "  border: 1px dotted var(--sklearn-color-border-box);\n",
+       "  border-radius: 0.25em;\n",
+       "  box-sizing: border-box;\n",
+       "  margin-bottom: 0.5em;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-estimator.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "/* on hover */\n",
+       "#sk-container-id-3 div.sk-estimator:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 div.sk-estimator.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+       "\n",
+       "/* Common style for \"i\" and \"?\" */\n",
+       "\n",
+       ".sk-estimator-doc-link,\n",
+       "a:link.sk-estimator-doc-link,\n",
+       "a:visited.sk-estimator-doc-link {\n",
+       "  float: right;\n",
+       "  font-size: smaller;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1em;\n",
+       "  height: 1em;\n",
+       "  width: 1em;\n",
+       "  text-decoration: none !important;\n",
+       "  margin-left: 1ex;\n",
+       "  /* unfitted */\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted,\n",
+       "a:link.sk-estimator-doc-link.fitted,\n",
+       "a:visited.sk-estimator-doc-link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "/* Span, style for the box shown on hovering the info icon */\n",
+       ".sk-estimator-doc-link span {\n",
+       "  display: none;\n",
+       "  z-index: 9999;\n",
+       "  position: relative;\n",
+       "  font-weight: normal;\n",
+       "  right: .2ex;\n",
+       "  padding: .5ex;\n",
+       "  margin: .5ex;\n",
+       "  width: min-content;\n",
+       "  min-width: 20ex;\n",
+       "  max-width: 50ex;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  box-shadow: 2pt 2pt 4pt #999;\n",
+       "  /* unfitted */\n",
+       "  background: var(--sklearn-color-unfitted-level-0);\n",
+       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted span {\n",
+       "  /* fitted */\n",
+       "  background: var(--sklearn-color-fitted-level-0);\n",
+       "  border: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link:hover span {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+       "\n",
+       "#sk-container-id-3 a.estimator_doc_link {\n",
+       "  float: right;\n",
+       "  font-size: 1rem;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1rem;\n",
+       "  height: 1rem;\n",
+       "  width: 1rem;\n",
+       "  text-decoration: none;\n",
+       "  /* unfitted */\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 a.estimator_doc_link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "#sk-container-id-3 a.estimator_doc_link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-3 a.estimator_doc_link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>VotingClassifier(estimators=[(&#x27;rf&#x27;, RandomForestClassifier(random_state=42)),\n",
+       "                             (&#x27;gbm&#x27;,\n",
+       "                              GradientBoostingClassifier(random_state=42))],\n",
+       "                 voting=&#x27;soft&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;VotingClassifier<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.VotingClassifier.html\">?<span>Documentation for VotingClassifier</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>VotingClassifier(estimators=[(&#x27;rf&#x27;, RandomForestClassifier(random_state=42)),\n",
+       "                             (&#x27;gbm&#x27;,\n",
+       "                              GradientBoostingClassifier(random_state=42))],\n",
+       "                 voting=&#x27;soft&#x27;)</pre></div> </div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><label>rf</label></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" ><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;RandomForestClassifier<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestClassifier.html\">?<span>Documentation for RandomForestClassifier</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>RandomForestClassifier(random_state=42)</pre></div> </div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><label>gbm</label></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" ><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;GradientBoostingClassifier<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html\">?<span>Documentation for GradientBoostingClassifier</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>GradientBoostingClassifier(random_state=42)</pre></div> </div></div></div></div></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "VotingClassifier(estimators=[('rf', RandomForestClassifier(random_state=42)),\n",
+       "                             ('gbm',\n",
+       "                              GradientBoostingClassifier(random_state=42))],\n",
+       "                 voting='soft')"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Create a Voting Classifier that combines both Random Forest and Gradient Boosting\n",
+    "voting_clf = VotingClassifier(estimators=[\n",
+    "    ('rf', rf_model),\n",
+    "    ('gbm', gbm_model)\n",
+    "], voting='soft')  # Use 'soft' voting to average predicted probabilities\n",
+    "\n",
+    "# Train the Voting Classifier\n",
+    "voting_clf.fit(X_train, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Voting Classifier Performance:\n",
+      "Accuracy: 0.9975\n",
+      "Precision: 0.9977\n",
+      "Recall: 0.9972\n",
+      "F1 Score: 0.9974\n",
+      "ROC-AUC: 1.0000\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Evaluate the ensemble model\n",
+    "print(\"\\nVoting Classifier Performance:\")\n",
+    "voting_roc_auc = evaluate_model(voting_clf, X_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -214,19 +1006,43 @@
     }
    ],
    "source": [
-    "# Plot ROC Curve for both models\n",
+    "# Plot ROC Curve for all three models\n",
     "fpr_rf, tpr_rf, _ = roc_curve(y_test, rf_model.predict_proba(X_test)[:, 1])\n",
     "fpr_gbm, tpr_gbm, _ = roc_curve(y_test, gbm_model.predict_proba(X_test)[:, 1])\n",
+    "fpr_voting, tpr_voting, _ = roc_curve(y_test, voting_clf.predict_proba(X_test)[:, 1])\n",
     "\n",
     "plt.figure(figsize=(10, 6))\n",
     "plt.plot(fpr_rf, tpr_rf, label=f'Random Forest (AUC = {rf_roc_auc:.2f})')\n",
     "plt.plot(fpr_gbm, tpr_gbm, label=f'Gradient Boosting (AUC = {gbm_roc_auc:.2f})')\n",
+    "plt.plot(fpr_voting, tpr_voting, label=f'Voting Classifier (AUC = {voting_roc_auc:.2f})')\n",
     "plt.plot([0, 1], [0, 1], 'k--', label=\"Random Chance\")\n",
     "plt.xlabel('False Positive Rate')\n",
     "plt.ylabel('True Positive Rate')\n",
     "plt.title('ROC Curve')\n",
     "plt.legend(loc=\"lower right\")\n",
-    "plt.show()\n"
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Ensemble model saved as 'final_model.pkl'\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "# Save the Voting Classifier to a .pkl file\n",
+    "with open('C:/Users/Administrator/Documents/kifiya/Week_6/final_model.pkl', 'wb') as file:\n",
+    "    pickle.dump(voting_clf, file)\n",
+    "\n",
+    "print(\"Ensemble model saved as 'final_model.pkl'\")"
    ]
   }
  ],
diff --git a/requirements.txt b/requirements.txt
index bfd7d91..26cf8ea 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -3,5 +3,5 @@ matplotlib
 seaborn
 scorecardpy
 Scikit-learn
-
+pickle