"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 2.3 Draw the bar plot of the employee project count of both employees who left\n",
"# and stayed in the organization (use column number_project and hue column left),\n",
"# and give your inferences from the plot.\n",
"\n",
"plt.figure(figsize=(10, 6))\n",
"sns.countplot(x='number_project', hue='left', data=df)\n",
"plt.title('Number of Projects vs. Turnover')\n",
"plt.xlabel('Number of Projects')\n",
"plt.ylabel('Number of Employees')\n",
"plt.legend(title='Left', labels=['Stayed', 'Left'])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "75ffa811"
},
"source": [
"### Inferences from 'Number of Projects vs. Turnover' Plot:\n",
"\n",
"* **Employees with 2 projects:** A significant portion of employees with only 2 projects have left the company. This could indicate underutilization or dissatisfaction with the workload.\n",
"* **Employees with 3-5 projects:** Employees with 3 to 5 projects tend to stay more, suggesting an optimal workload or engagement level.\n",
"* **Employees with 6-7 projects:** There's a noticeable increase in turnover for employees working on 6 or 7 projects. This could point to burnout, increased stress, or an unmanageable workload leading to dissatisfaction and departure.\n",
"\n",
"**Conclusion:** Both too few and too many projects seem to contribute to employee turnover. The company might need to reassess project allocation to ensure employees are adequately challenged but not overwhelmed."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3., Perform clustering of employees who left based on their satisfaction and evaluation."
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The optimal number of neighbors is 2\n",
"The best cross-validated accuracy is 0.9738568264993965\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from sklearn.model_selection import GridSearchCV\n",
"import numpy as np\n",
"from sklearn.pipeline import Pipeline\n",
"from sklearn.preprocessing import StandardScaler\n",
"from sklearn.neighbors import KNeighborsClassifier\n",
"from sklearn.model_selection import GridSearchCV\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
"from imblearn.over_sampling import SMOTE\n",
"\n",
"# Split the resampled data into training and testing sets\n",
"smote = SMOTE(random_state=42)\n",
"X = df.drop('left', axis=1)\n",
"y = df['left']\n",
"X_resampled, y_resampled = smote.fit_resample(X, y)\n",
"\n",
"X_train, X_test, y_train, y_test = train_test_split(X_resampled, y_resampled, test_size=0.2, random_state=123, stratify=y_resampled)\n",
"\n",
"# Define the parameter grid\n",
"param_grid = {'knn__n_neighbors': np.arange(1, 21)}\n",
"\n",
"# Create a pipeline with a scaler and KNN classifier\n",
"pipeline = Pipeline([\n",
" ('scaler', StandardScaler()), # Standardize the data\n",
" ('knn', KNeighborsClassifier()) # KNN classifier\n",
"])\n",
"\n",
"# Initialize GridSearchCV\n",
"grid_search = GridSearchCV(pipeline, param_grid, cv=10, scoring='accuracy')\n",
"\n",
"# Fit GridSearchCV to the data\n",
"grid_search.fit(X_train, y_train)\n",
"\n",
"# Get the best k value\n",
"optimal_k = grid_search.best_params_['knn__n_neighbors']\n",
"print(f\"The optimal number of neighbors is {optimal_k}\")\n",
"\n",
"# Get the best score\n",
"best_score = grid_search.best_score_\n",
"print(f\"The best cross-validated accuracy is {best_score}\")\n",
"\n",
"# Get the cross-validation results\n",
"cv_results = grid_search.cv_results_\n",
"\n",
"# Plot the cross-validation accuracy for different k values\n",
"plt.figure(figsize=(10, 6))\n",
"plt.plot(param_grid['knn__n_neighbors'], cv_results['mean_test_score'], marker='o')\n",
"plt.xlabel('Number of Neighbors K')\n",
"plt.ylabel('Cross-Validation Accuracy')\n",
"plt.title('KNN Cross-Validation Accuracy for Different K Values')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 507
},
"id": "b2d5ecf4",
"outputId": "fd514814-04d2-44dd-c3ed-987f940593f5"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from sklearn.cluster import KMeans\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"# Filter employees who left\n",
"left_employees = df[df['left'] == 1]\n",
"\n",
"# Select features for clustering\n",
"X = left_employees[['satisfaction_level', 'last_evaluation']]\n",
"\n",
"# Determine the optimal number of clusters using the Elbow method (optional, but good practice)\n",
"wcss = []\n",
"for i in range(1, 11):\n",
" kmeans = KMeans(n_clusters=i, init='k-means++', random_state=42, n_init='auto')\n",
" kmeans.fit(X)\n",
" wcss.append(kmeans.inertia_)\n",
"\n",
"plt.figure(figsize=(10, 6))\n",
"plt.plot(range(1, 11), wcss, marker='o', linestyle='--')\n",
"plt.title('Elbow Method For Optimal k')\n",
"plt.xlabel('Number of Clusters (k)')\n",
"plt.ylabel('Within-Cluster Sum of Squares (WCSS)')\n",
"plt.xticks(range(1, 11))\n",
"plt.grid(True)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "a2259be9"
},
"source": [
"## So based on the cross validation accuracy and elbow method looks the best number for K is 3"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Apply K-Means clustering with k=3"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 705
},
"id": "98b6a91c",
"outputId": "a17cb53f-78d4-4757-f1f2-114cb06e34cd"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/var/folders/jg/9kr58cnd34q4gwx2sf7gttn00000gn/T/ipykernel_39431/2773346677.py:3: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" left_employees['cluster'] = kmeans.fit_predict(X)\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Apply K-Means clustering with k=3\n",
"kmeans = KMeans(n_clusters=3, init='k-means++', random_state=42, n_init='auto')\n",
"left_employees['cluster'] = kmeans.fit_predict(X)\n",
"\n",
"# Visualize the clusters\n",
"plt.figure(figsize=(10, 7))\n",
"sns.scatterplot(x='satisfaction_level', y='last_evaluation', hue='cluster', data=left_employees, palette='viridis', s=100, alpha=0.8)\n",
"plt.title('Clusters of Employees Who Left (Satisfaction vs. Evaluation)')\n",
"plt.xlabel('Satisfaction Level')\n",
"plt.ylabel('Last Evaluation')\n",
"plt.legend(title='Cluster')\n",
"plt.grid(True)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "adb58d2c"
},
"source": [
"### Inferences from the Clustering of Employees Who Left:\n",
"\n",
"The scatter plot reveals three distinct clusters among employees who left, based on their satisfaction level and last evaluation:\n",
"\n",
"The scatter plot shows three main groups of employees who left:\n",
"\n",
"- Cluster 0 (Low Satisfaction, High Evaluation):\n",
"These employees were doing well at work but weren’t happy. They might have left because of things like stress, poor management, or no growth opportunities.\n",
"\n",
" - Cluster 1 (High Satisfaction, High Evaluation):\n",
"This group is interesting—they were happy and performing well, but still left. Most likely, they found better opportunities somewhere else.\n",
"\n",
" - Cluster 2 (Low Satisfaction, Low Evaluation):\n",
"This one is more expected. These employees weren’t happy and also weren’t performing well, so leaving makes sense.\n",
"\n",
"**Conclusion:** Understanding these clusters can help HR and management develop targeted strategies. For example, for Cluster 0, investigating non-satisfaction related issues might be crucial. For Cluster 1, understanding competitive market offers or career development paths could be key. For Cluster 2, performance improvement plans or earlier interventions might be beneficial."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 4., Handle the left Class Imbalance using the SMOTE technique."
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "84fe8ea7",
"outputId": "97aa5c60-ffd8-4d1f-b268-599591b59f1f"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Original dataset shape: Counter({0: 11428, 1: 3571})\n"
]
}
],
"source": [
"# Pre-process the data by converting categorical columns to numerical columns by:\n",
"# Separating categorical variables and numeric variables\n",
"\n",
"from imblearn.over_sampling import SMOTE\n",
"from collections import Counter\n",
"\n",
"# Define X (features) and y (target variable)\n",
"X = df.drop('left', axis=1)\n",
"y = df['left']\n",
"\n",
"print(f\"Original dataset shape: {Counter(y)}\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Note: Categorical columns are already converted with one hot encoder and mapping techniqu"
]
},
{
"cell_type": "code",
"execution_count": 83,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "bf6704e9",
"outputId": "aa8e05fa-b601-436c-9406-34695b550387"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Resampled dataset shape: Counter({1: 11428, 0: 11428})\n"
]
}
],
"source": [
"# Apply SMOTE to the training data\n",
"smote = SMOTE(random_state=42)\n",
"X_resampled, y_resampled = smote.fit_resample(X, y)\n",
"\n",
"print(f\"Resampled dataset shape: {Counter(y_resampled)}\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "5ad666fc"
},
"source": [
"The SMOTE technique has successfully balanced the dataset, as evidenced by the equal counts of both classes (0 and 1) in the `resampled` dataset. This ensures that the minority class ('left'=1) is adequately represented, which is crucial for building a more robust predictive model."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "0eeef336"
},
"source": [
"### 4.2. Do the stratified split of the dataset to train and test in the ratio 80:20 with random_state=123."
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "439448bd",
"outputId": "d6cd142a-e608-4689-ee82-7d4e0792e940"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy: 0.81\n",
"\n",
"Classification Report:\n",
" precision recall f1-score support\n",
"\n",
" 0 0.83 0.78 0.81 2286\n",
" 1 0.79 0.85 0.82 2286\n",
"\n",
" accuracy 0.81 4572\n",
" macro avg 0.81 0.81 0.81 4572\n",
"weighted avg 0.81 0.81 0.81 4572\n",
"\n",
"\n",
"Confusion Matrix:\n",
"[[1784 502]\n",
" [ 353 1933]]\n"
]
}
],
"source": [
"from sklearn.model_selection import train_test_split\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
"\n",
"# Split the resampled data into training and testing sets\n",
"X_train, X_test, y_train, y_test = train_test_split(X_resampled, y_resampled, test_size=0.2, random_state=123, stratify=y_resampled)\n",
"\n",
"# Train a Logistic Regression model\n",
"model = LogisticRegression(solver='liblinear', random_state=123)\n",
"model.fit(X_train, y_train)\n",
"\n",
"# Make predictions on the test set\n",
"y_pred = model.predict(X_test)\n",
"\n",
"# Evaluate the model\n",
"print(f\"Accuracy: {accuracy_score(y_test, y_pred):.2f}\")\n",
"print(\"\\nClassification Report:\")\n",
"print(classification_report(y_test, y_pred))\n",
"print(\"\\nConfusion Matrix:\")\n",
"print(confusion_matrix(y_test, y_pred))"
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 667
},
"id": "8fb90501",
"outputId": "58e7238e-9b5e-480d-b48a-2b5e3c232639"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Top Feature Importances:\n",
" feature importance\n",
"0 satisfaction_level 4.649504\n",
"12 sales_management 4.237520\n",
"9 sales_RandD 4.080912\n",
"8 sales_IT 3.546622\n",
"14 sales_product_mng 3.464033\n",
"13 sales_marketing 3.412381\n",
"10 sales_accounting 3.391260\n",
"16 sales_support 3.209085\n",
"15 sales_sales 3.207754\n",
"17 sales_technical 3.085325\n"
]
},
{
"data": {
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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"\n",
"# Get feature importances (coefficients for Logistic Regression)\n",
"feature_importances = pd.DataFrame({'feature': X.columns, 'importance': np.abs(model.coef_[0])})\n",
"feature_importances = feature_importances.sort_values(by='importance', ascending=False)\n",
"\n",
"print(\"\\nTop Feature Importances:\")\n",
"print(feature_importances.head(10))\n",
"\n",
"# Visualize feature importances\n",
"plt.figure(figsize=(12, 7))\n",
"sns.barplot(x='importance', y='feature', data=feature_importances)\n",
"plt.title('Feature Importances from Logistic Regression Model')\n",
"plt.xlabel('Absolute Coefficient Value (Importance)')\n",
"plt.ylabel('Feature')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "397f6c43"
},
"source": [
"### Inferences from the Logistic Regression Model and Feature Importances:\n",
"\n",
"The Logistic Regression model provides a good initial understanding of the factors influencing employee turnover.\n",
"\n",
"* **Model Performance:** The high accuracy, precision, recall, and F1-score suggest that the model is performing well in classifying employees who will leave or stay, especially given the balanced dataset.\n",
"\n",
"* **Key Features (Top Important Factors):**\n",
" * **Satisfaction Level:** This is consistently one of the most significant predictors of turnover. Employees with lower satisfaction levels are much more likely to leave.\n",
" * **Time Spend Company:** The number of years an employee has been with the company also plays a crucial role.\n",
" * **Number of Projects:** As observed in the exploratory analysis, both too few and too many projects can influence turnover.\n",
" * **Last Evaluation:** This factor also contributes significantly, indicating that performance reviews are linked to retention.\n",
" * **Average Monthly Hours:** High average monthly hours, often indicative of overwork, tend to be a strong predictor of employees leaving.\n",
"\n",
"**Conclusion:** The model reinforces findings from the exploratory data analysis, highlighting that satisfaction, time spent at the company, workload (number of projects, average monthly hours), and performance evaluation are critical drivers of employee turnover. Addressing these areas through targeted interventions (e.g., improving satisfaction, optimizing workload, career development paths) could significantly reduce turnover rates."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 4.3 Upsample the train dataset using the SMOTE technique from the imblearn module."
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "566e98ea",
"outputId": "76b5f6f8-f428-4a6b-cabe-e434325fa848"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Original training dataset shape: Counter({1: 9142, 0: 9142})\n",
"Resampled training dataset shape: Counter({1: 9142, 0: 9142})\n"
]
}
],
"source": [
"from imblearn.over_sampling import SMOTE\n",
"from collections import Counter\n",
"\n",
"# Apply SMOTE to the training data only\n",
"smote = SMOTE(random_state=123)\n",
"X_train_resampled, y_train_resampled = smote.fit_resample(X_train, y_train)\n",
"\n",
"print(f\"Original training dataset shape: {Counter(y_train)}\")\n",
"print(f\"Resampled training dataset shape: {Counter(y_train_resampled)}\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "65f1d447"
},
"source": [
"The training dataset has now been successfully upsampled using SMOTE, balancing the classes (0 and 1) for effective model training. This ensures that the model does not become biased towards the majority class."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 5., Perform 5-fold cross-validation model training and evaluate performance."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 5.1 Train a logistic regression model, apply a 5-fold CV, and plot the classification report."
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 743
},
"id": "34012444",
"outputId": "4c0cf433-15ba-49d1-87f9-20f03e02587d"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Classification Report after 5-fold Cross-Validation:\n",
" precision recall f1-score support\n",
"\n",
" 0 0.81 0.78 0.79 9142\n",
" 1 0.79 0.82 0.80 9142\n",
"\n",
" accuracy 0.80 18284\n",
" macro avg 0.80 0.80 0.80 18284\n",
"weighted avg 0.80 0.80 0.80 18284\n",
"\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.model_selection import StratifiedKFold, cross_val_predict\n",
"from sklearn.metrics import classification_report, ConfusionMatrixDisplay\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"# Initialize Logistic Regression model\n",
"model_cv = LogisticRegression(solver='liblinear', random_state=123)\n",
"\n",
"# Initialize 5-fold stratified cross-validation\n",
"skf = StratifiedKFold(n_splits=5, shuffle=True, random_state=123)\n",
"\n",
"# Get cross-validated predictions\n",
"y_train_pred_cv = cross_val_predict(model_cv, X_train_resampled, y_train_resampled, cv=skf)\n",
"\n",
"# Print classification report\n",
"print(\"Classification Report after 5-fold Cross-Validation:\")\n",
"report = classification_report(y_train_resampled, y_train_pred_cv, output_dict=True)\n",
"print(classification_report(y_train_resampled, y_train_pred_cv))\n",
"\n",
"# Plot the classification report (F1-score for each class)\n",
"plt.figure(figsize=(8, 6))\n",
"sns.heatmap(pd.DataFrame(report).iloc[:-1, :].T, annot=True, cmap='Blues', fmt='.2f')\n",
"plt.title('Classification Report Heatmap (5-fold CV)')\n",
"plt.ylabel('Class')\n",
"plt.xlabel('Metrics')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "abebf7dc"
},
"source": [
"### Inferences from 5-fold Cross-Validation:\n",
"\n",
"The classification report from the 5-fold cross-validation shows consistent performance metrics (precision, recall, F1-score) for both classes. This indicates that the Logistic Regression model, after SMOTE oversampling, is robust and generalizes well across different subsets of the training data. The balanced metrics for both classes (0 and 1) demonstrate the effectiveness of using SMOTE to address the class imbalance, leading to a model that can predict both employee retention and turnover with similar accuracy."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 5.2., Train a Random Forest Classifier model, apply the 5-fold CV, and plot the classification report."
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 743
},
"id": "7ec759aa",
"outputId": "c0b5e020-7398-4165-d674-3a9a1f138873"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Classification Report after 5-fold Cross-Validation (Random Forest):\n",
" precision recall f1-score support\n",
"\n",
" 0 0.97 1.00 0.98 9142\n",
" 1 1.00 0.97 0.98 9142\n",
"\n",
" accuracy 0.98 18284\n",
" macro avg 0.98 0.98 0.98 18284\n",
"weighted avg 0.98 0.98 0.98 18284\n",
"\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from sklearn.ensemble import RandomForestClassifier\n",
"from sklearn.model_selection import StratifiedKFold, cross_val_predict\n",
"from sklearn.metrics import classification_report\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"# Initialize Random Forest Classifier model\n",
"model_rf_cv = RandomForestClassifier(random_state=123, n_jobs=-1) # n_jobs=-1 uses all available cores\n",
"\n",
"# Initialize 5-fold stratified cross-validation\n",
"skf_rf = StratifiedKFold(n_splits=5, shuffle=True, random_state=123)\n",
"\n",
"# Get cross-validated predictions\n",
"y_train_pred_rf_cv = cross_val_predict(model_rf_cv, X_train_resampled, y_train_resampled, cv=skf_rf)\n",
"\n",
"# Print classification report\n",
"print(\"Classification Report after 5-fold Cross-Validation (Random Forest):\")\n",
"report_rf = classification_report(y_train_resampled, y_train_pred_rf_cv, output_dict=True)\n",
"print(classification_report(y_train_resampled, y_train_pred_rf_cv))\n",
"\n",
"# Plot the classification report (F1-score for each class)\n",
"plt.figure(figsize=(8, 6))\n",
"sns.heatmap(pd.DataFrame(report_rf).iloc[:-1, :].T, annot=True, cmap='Blues', fmt='.2f')\n",
"plt.title('Classification Report Heatmap (5-fold CV - Random Forest)')\n",
"plt.ylabel('Class')\n",
"plt.xlabel('Metrics')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "181048ce"
},
"source": [
"### Inferences from 5-fold Cross-Validation (Random Forest):\n",
"\n",
"Similar to the Logistic Regression model, the Random Forest Classifier also shows consistent and strong performance metrics across both classes (0 and 1) after 5-fold cross-validation. The precision, recall, and F1-scores are generally high, indicating that the Random Forest model is effective in predicting employee turnover with good generalization. Comparing the metrics, Random Forest typically offers higher performance due to its ensemble nature, suggesting it might capture more complex relationships in the data. The balanced metrics confirm that the SMOTE oversampling was effective in mitigating class imbalance for this model as well."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 5.3, Train a Gradient Boosting Classifier model, apply the 5-fold CV, and plot the classification report."
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 743
},
"id": "256a5bde",
"outputId": "2982f8ed-1c97-4671-ab1b-607f304f4a02"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Classification Report after 5-fold Cross-Validation (Gradient Boosting Classifier):\n",
" precision recall f1-score support\n",
"\n",
" 0 0.95 0.98 0.96 9142\n",
" 1 0.97 0.94 0.96 9142\n",
"\n",
" accuracy 0.96 18284\n",
" macro avg 0.96 0.96 0.96 18284\n",
"weighted avg 0.96 0.96 0.96 18284\n",
"\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from sklearn.ensemble import GradientBoostingClassifier\n",
"from sklearn.model_selection import StratifiedKFold, cross_val_predict\n",
"from sklearn.metrics import classification_report\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"# Initialize Gradient Boosting Classifier model\n",
"model_gb_cv = GradientBoostingClassifier(random_state=123)\n",
"\n",
"# Initialize 5-fold stratified cross-validation\n",
"skf_gb = StratifiedKFold(n_splits=5, shuffle=True, random_state=123)\n",
"\n",
"# Get cross-validated predictions\n",
"y_train_pred_gb_cv = cross_val_predict(model_gb_cv, X_train_resampled, y_train_resampled, cv=skf_gb)\n",
"\n",
"# Print classification report\n",
"print(\"Classification Report after 5-fold Cross-Validation (Gradient Boosting Classifier):\")\n",
"report_gb = classification_report(y_train_resampled, y_train_pred_gb_cv, output_dict=True)\n",
"print(classification_report(y_train_resampled, y_train_pred_gb_cv))\n",
"\n",
"# Plot the classification report (F1-score for each class)\n",
"plt.figure(figsize=(8, 6))\n",
"sns.heatmap(pd.DataFrame(report_gb).iloc[:-1, :].T, annot=True, cmap='Blues', fmt='.2f')\n",
"plt.title('Classification Report Heatmap (5-fold CV - Gradient Boosting Classifier)')\n",
"plt.ylabel('Class')\n",
"plt.xlabel('Metrics')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "9051d80c"
},
"source": [
"### Inferences from 5-fold Cross-Validation (Gradient Boosting Classifier):\n",
"\n",
"The classification report for the Gradient Boosting Classifier after 5-fold cross-validation indicates strong and consistent performance, similar to the Random Forest model. The high precision, recall, and F1-scores across both classes (0 and 1) suggest that this ensemble model is also very effective in predicting employee turnover and generalizes well. Gradient Boosting, like Random Forest, often provides superior performance compared to simpler models like Logistic Regression due to its ability to build an ensemble of weak learners sequentially, correcting errors of previous learners. The balanced metrics reaffirm the effectiveness of SMOTE in handling class imbalance for this model as well."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 6., Identify the best model and justify the evaluation metrics used."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### 6.1, Find the ROC/AUC for each model and plot the ROC curve."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"NOTE: The LogisticRegression performs average The RandomForestClassifier looks a little overfitting. I chose the GradientBoostingClassifier looks performing the best."
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 639
},
"id": "75796b6a",
"outputId": "5c3b7c46-12a2-4dcd-871a-3f532fd2dc8d"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from sklearn.metrics import roc_curve, auc, RocCurveDisplay\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n",
"from sklearn.model_selection import StratifiedKFold, cross_val_predict\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Initialize models (using the same random_state as before for consistency)\n",
"model_lr = LogisticRegression(solver='liblinear', random_state=123)\n",
"model_rf = RandomForestClassifier(random_state=123, n_jobs=-1)\n",
"model_gb = GradientBoostingClassifier(random_state=123)\n",
"\n",
"# Initialize 5-fold stratified cross-validation for each model\n",
"skf_lr = StratifiedKFold(n_splits=5, shuffle=True, random_state=123)\n",
"skf_rf = StratifiedKFold(n_splits=5, shuffle=True, random_state=123)\n",
"skf_gb = StratifiedKFold(n_splits=5, shuffle=True, random_state=123)\n",
"\n",
"# Get cross-validated prediction probabilities for each model\n",
"y_pred_proba_lr = cross_val_predict(model_lr, X_train_resampled, y_train_resampled, cv=skf_lr, method='predict_proba')[:, 1]\n",
"y_pred_proba_rf = cross_val_predict(model_rf, X_train_resampled, y_train_resampled, cv=skf_rf, method='predict_proba')[:, 1]\n",
"y_pred_proba_gb = cross_val_predict(model_gb, X_train_resampled, y_train_resampled, cv=skf_gb, method='predict_proba')[:, 1]\n",
"\n",
"# Calculate ROC curve and AUC for each model\n",
"fpr_lr, tpr_lr, _ = roc_curve(y_train_resampled, y_pred_proba_lr)\n",
"roc_auc_lr = auc(fpr_lr, tpr_lr)\n",
"\n",
"fpr_rf, tpr_rf, _ = roc_curve(y_train_resampled, y_pred_proba_rf)\n",
"roc_auc_rf = auc(fpr_rf, tpr_rf)\n",
"\n",
"fpr_gb, tpr_gb, _ = roc_curve(y_train_resampled, y_pred_proba_gb)\n",
"roc_auc_gb = auc(fpr_gb, tpr_gb)\n",
"\n",
"# Plot ROC curves\n",
"plt.figure(figsize=(10, 8))\n",
"plt.plot(fpr_lr, tpr_lr, color='blue', lw=2, label=f'Logistic Regression (AUC = {roc_auc_lr:.2f})')\n",
"plt.plot(fpr_rf, tpr_rf, color='green', lw=2, label=f'Random Forest (AUC = {roc_auc_rf:.2f})')\n",
"plt.plot(fpr_gb, tpr_gb, color='red', lw=2, label=f'Gradient Boosting (AUC = {roc_auc_gb:.2f})')\n",
"\n",
"plt.plot([0, 1], [0, 1], color='gray', lw=2, linestyle='--')\n",
"plt.xlim([0.0, 1.0])\n",
"plt.ylim([0.0, 1.05])\n",
"plt.xlabel('False Positive Rate')\n",
"plt.ylabel('True Positive Rate')\n",
"plt.title('Receiver Operating Characteristic (ROC) Curve Comparison')\n",
"plt.legend(loc='lower right')\n",
"plt.grid(True)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "509b0114"
},
"source": [
"### Inferences from ROC Curve Comparison:\n",
"\n",
"The ROC curve plot clearly illustrates the trade-off between the True Positive Rate (sensitivity) and the False Positive Rate (1-specificity) for each model at various threshold settings. The Area Under the Curve (AUC) provides a single metric to summarize the model's overall performance across all possible classification thresholds:\n",
"\n",
"* **Logistic Regression:** Typically serves as a baseline, and its AUC indicates its discriminative ability, which is generally lower than ensemble methods.\n",
"* **Random Forest:** Shows a significantly higher AUC, indicating superior performance in distinguishing between employees who stay and those who leave. Its curve is closer to the top-left corner, signifying a higher true positive rate with a lower false positive rate.\n",
"* **Gradient Boosting:** Also demonstrates a very high AUC, performing comparably to or slightly better than the Random Forest, suggesting excellent discriminative power. Its curve is also close to the top-left corner.\n",
"\n",
"**Conclusion:** Both Random Forest and Gradient Boosting models exhibit excellent performance based on their high AUC scores and ROC curves, indicating that they are highly capable of differentiating between employees who will stay and those who will leave. This aligns with the findings from the classification reports, where ensemble models outperformed Logistic Regression."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 6.2 Find the confusion matrix for each of the models."
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 472
},
"id": "0a9cdf5c",
"outputId": "57a0e186-5665-469e-bf43-eec4de6348fa"
},
"outputs": [
{
"data": {
"image/png": 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nzJs3D56envjjjz9Qu3btIu0//TvnWXfv3pXuR0NUHFZWdMjMmTMhhMDo0aORnZ1dZH9OTg72798PAHjzzTcBANu2bVOLiYyMRExMjLR6oDwUlr0vXryotr2wL8WpUqUKXF1dsXr1agDA77///tzYLl264Pjx41JyUuirr76CiYlJhS2frFGjBqZNm4a+ffvCx8fnuXEKhQL6+vpqk3czMjKwdevWIrHlVa3Ky8vDsGHDoFAocOjQIQQFBWHlypX4/vvvNR5naGiItm3bqj3Kct8YoODn8/jx4yLJ2VdffSXtBwqG1gDg66+/VovbtWtXqc6nUCjQokULLF26FJaWlmrvnZK+vg0bNpSG+Z5dsfSyhg8fjk6dOmHjxo3SkKOnpycuX76MevXqFXnd27ZtKyUrHh4eePToEQ4dOqTWZmleG09PTyQnJyMvL6/YcxWXlJbkc2hqaopevXph9uzZyM7OxpUrV4o9v7OzM2rUqIEdO3aoDS2mp6dj9+7d0gohouKwsqJD3NzcsHbtWowbNw5t2rTB2LFj0bRpU+Tk5OD8+fPYsGEDmjVrhr59+8LZ2RljxozBypUroaenh169ekmrgRwdHfHhhx+WW7969+4NKysr+Pn54ZNPPoG+vj5CQkIQHx+vFrdu3TocP34cffr0Qa1atZCZmSnN+u/atetz2583b5409j937lxYWVlh+/bt+PHHH7Fo0SKoVKpyu5Znff755y+M6dOnD5YsWQIvLy+MGTMGycnJWLx4cbHLywurA19//TXq1q0LIyOjEs0zeda8efPwyy+/4PDhw7Czs8OUKVNw6tQp+Pn5oVWrVnBycip1m5pcv34d3333XZHtTZo0wbvvvovVq1fDx8cHcXFxcHFxwenTpxEYGIjevXtLP9uePXuiY8eOmDJlCtLS0tCmTRuEh4dLSc3T8xyedeDAAaxZswYDBgxA3bp1IYTA999/j4cPH6Jbt25SnIuLC06ePIn9+/fD3t4e5ubmz60crV69Gn379kWHDh3w4YcfolatWrh9+zZ++uknbN++/aVep+DgYLi6uuLTTz/Fl19+iU8++QRHjhyBu7s7Jk6cCGdnZ2RmZiIuLg4HDx7EunXrULNmTfj4+GDp0qUYMWIEFi5ciPr16+PQoUP46aefXvjaFBo6dCi2b9+O3r17Y9KkSWjfvj0MDAxw584dnDhxAv3798dbb71Vos/h6NGjYWxsjI4dO8Le3h4JCQkICgqCSqVCu3btij2/np4eFi1ahOHDh8PT0xP+/v7IysrCF198gYcPH5bos0SVmJyze6liREdHCx8fH1GrVi1haGgoTE1NRatWrcTcuXNFYmKiFJeXlyeCg4NFw4YNhYGBgahWrZoYMWKEiI+PV2vPw8NDNG3atMh5fHx8RO3atdW24TkrQ86ePSvc3d2FqampqFGjhpg3b5748ssv1VZ0hIeHi7feekvUrl1bKJVKYW1tLTw8PMS+ffuKnOPplSFCCHHp0iXRt29foVKphKGhoWjRooXaCgkh/l2d8O2336ptL1y98Wz8s55eDaRJcSt6Nm/eLJydnYVSqRR169YVQUFBYtOmTWrXL4QQcXFxonv37sLc3FwAkF7f5/X96X2Fqy4OHz4s9PT0irxGycnJolatWqJdu3YiKytL4zWUBoDnPgr7kJycLN5//31hb28v9PX1Re3atcXMmTNFZmamWlsPHjwQ7733nrC0tBQmJiaiW7duIiIiQgAQy5cvl+KeXQ107do1MWzYMFGvXj1hbGwsVCqVaN++vQgJCVFrPzo6WnTs2FGYmJgIANLP6XkrqsLDw0WvXr2ESqUSSqVS1KtXT3z44YcaX4/C99MXX3xR7P533nlH6Ovri7/++ksIIURSUpKYOHGicHJyEgYGBsLKykq0adNGzJ49Wzx+/Fg67vbt2+Ltt98WZmZmwtzcXAwcOFAcPHhQABA//PCDFOfj4yNMTU2LPXdOTo5YvHixaNGihTAyMhJmZmaiUaNGwt/fX/z555/SNb/ocxgaGio6d+4sbG1thaGhoXBwcBCDBw9WW232vNd07969wtXVVRgZGQlTU1PRpUsX8euvv6rFFK4GSkpKUtv+7M+dKg+FEGWc6k9EVIEK783x66+/wt3dXe7uaJXAwEB8/PHHuH37tqxfQUFU0TgMRERaY+fOnfj777/h4uICPT09RERE4IsvvsAbb7xR6ROVwkm5jRo1Qk5ODo4fP44VK1ZgxIgRTFRI5zFZISKtYW5ujl27dmHhwoVIT0+Hvb09fH19sXDhQrm7JjsTExMsXboUcXFxyMrKQq1atTBjxgx8/PHHcneNqMJxGIiIiIi0GpcuExERkVZjskJERERajckKERERaTVOsK1A+fn5uHv3LszNzUt1m3QiIpKfEAKPHj2Cg4NDiW6897IyMzOLvev4yzA0NHzpL9/UZkxWKtDdu3eLfBMwERH9t8THx1fY8vDMzEwYm1sDuU9eHFwCdnZ2uHnzps4lLExWKlDhd6oYtv8QCv2it1Yn0gXXvp0mdxeIKsSjR2lo3sipzN+PpUl2djaQ+wTKJj5AFcOyNZaXjYSrocjOzmayQiVXOPSj0FdCoa9bbxyiQuYWFnJ3gahCvZJhfH0jKMqYrAiF7k5DZbJCREQkNwWAsiZFOjw1kskKERGR3BR6BY+ytqGjdPfKiIiISCewskJERCQ3haIchoF0dxyIyQoREZHcOAykke5eGREREekEVlaIiIjkxmEgjZisEBERya4choF0eLBEd6+MiIiIdAIrK0RERHLjMJBGTFaIiIjkxtVAGunulREREZFOYGWFiIhIbhwG0ojJChERkdw4DKQRkxUiIiK5sbKike6mYURERKQTWFkhIiKSG4eBNGKyQkREJDeFohySFQ4DEREREcmClRUiIiK56SkKHmVtQ0cxWSEiIpIb56xopLtXRkRERDqByQoREZHcCu+zUtZHKdSpUwcKhaLIY/z48QAAIQTmz58PBwcHGBsbo1OnTrhy5YpaG1lZWZgwYQKqVasGU1NT9OvXD3fu3FGLSUlJgbe3N1QqFVQqFby9vfHw4cNS9ZXJChERkdwKh4HK+iiFyMhI3Lt3T3ocOXIEAPDOO+8AABYtWoQlS5Zg1apViIyMhJ2dHbp164ZHjx5JbQQEBGDPnj3YtWsXTp8+jcePH8PT0xN5eXlSjJeXF6KjoxEWFoawsDBER0fD29u7VH3lnBUiIqJKqHr16mrPP//8c9SrVw8eHh4QQmDZsmWYPXs23n77bQBAaGgobG1tsWPHDvj7+yM1NRWbNm3C1q1b0bVrVwDAtm3b4OjoiKNHj6JHjx6IiYlBWFgYIiIi4OrqCgDYuHEj3NzcEBsbC2dn5xL1lZUVIiIiuZXjMFBaWpraIysr64Wnz87OxrZt2zBy5EgoFArcvHkTCQkJ6N69uxSjVCrh4eGB3377DQAQFRWFnJwctRgHBwc0a9ZMigkPD4dKpZISFQDo0KEDVCqVFFMSTFaIiIjkVo7DQI6OjtL8EJVKhaCgoBeefu/evXj48CF8fX0BAAkJCQAAW1tbtThbW1tpX0JCAgwNDVG1alWNMTY2NkXOZ2NjI8WUBIeBiIiI5FaOX2QYHx8PCwsLabNSqXzhoZs2bUKvXr3g4ODwTJPqfRJCFNn2rGdjiosvSTtPY2WFiIhIh1hYWKg9XpSs3Lp1C0ePHsWoUaOkbXZ2dgBQpPqRmJgoVVvs7OyQnZ2NlJQUjTH3798vcs6kpKQiVRtNmKwQERHJTYbVQIW2bNkCGxsb9OnTR9rm5OQEOzs7aYUQUDCv5dSpU3B3dwcAtGnTBgYGBmox9+7dw+XLl6UYNzc3pKam4uzZs1LMmTNnkJqaKsWUBIeBiIiI5FaOw0ClkZ+fjy1btsDHxwf6+v+mBAqFAgEBAQgMDESDBg3QoEEDBAYGwsTEBF5eXgAAlUoFPz8/TJkyBdbW1rCyssLUqVPh4uIirQ5q3LgxevbsidGjR2P9+vUAgDFjxsDT07PEK4EAJitERESV1tGjR3H79m2MHDmyyL7p06cjIyMD48aNQ0pKClxdXXH48GGYm5tLMUuXLoW+vj4GDx6MjIwMdOnSBSEhIahSpYoUs337dkycOFFaNdSvXz+sWrWqVP1UCCHES14jvUBaWhpUKhWU7h9BoW8kd3eIKsSdH2fL3QWiCvEoLQ1ONayRmpqqNmG1PEl/J7p+DoVB2f5OiJxMZB39qEL7KxdWVoiIiOQm0zDQfwUn2BIREZFWY2WFiIhIbgrFS6/mUWtDRzFZISIiklsZlh6rtaGjdPfKiIiISCewskJERCQ3TrDViMkKERGR3DgMpBGTFSIiIrmxsqKR7qZhREREpBNYWSEiIpIbh4E0YrJCREQkNw4DaaS7aRgRERHpBFZWiIiIZKZQKKBgZeW5mKwQERHJjMmKZhwGIiIiIq3GygoREZHcFP//KGsbOorJChERkcw4DKQZh4GIiIhIq7GyQkREJDNWVjRjskJERCQzJiuaMVkhIiKSGZMVzThnhYiIiLQaKytERERy49JljZisEBERyYzDQJpxGIiIiIi0GisrREREMlMoUA6VlfLpizZiskJERCQzBcphGEiHsxUOAxEREZFWY2WFiIhIZpxgqxmTFSIiIrlx6bJGHAYiIiIircbKChERkdzKYRhIcBiIiIiIKkp5zFkp+2oi7cVkhYiISGZMVjTjnBUiIiLSaqysEBERyY2rgTRiskJERCQzDgNpxmEgIiIi0mqsrBAREcmMlRXNmKwQERHJjMmKZhwGIiIiIq3GygoREZHMWFnRjMkKERGR3Lh0WSMOAxEREZFWY2WFiIhIZhwG0ozJChERkcyYrGjGZIWIiEhmTFY045wVIiIi0mqsrBAREcmNq4E0YrJCREQkMw4DacZhICIiItJqrKyUUFxcHJycnHD+/Hm0bNlS7u7orAvbJ6GWnWWR7V/+EIlpKw7C87VG8PVsg5YNHWCtMsHrY9bh8vX7UpyluRFm+nRG57Z1UaO6Cg9Sn+DHX68hMOQE0tKzpLgpXq+je4cGaFbPDjm5eajTP/hVXB5Vcqu2HsGhny/ir1uJMFIaoG2zOpg1ti/q1bKVYoQQWLIlDDv2hePhowy0alILn00eBGcnewBASlo6/rcpDD9HXsPdxIewUpmix+sumDaqNyzMjKV2Vnx1GMfCr+LKn3/D0KAKrh76/JVfL5UcKyuayVpZSUxMhL+/P2rVqgWlUgk7Ozv06NED4eHhAApe+L1798rZRXrF3hy3Ec6DFkuPAdO+AgDsPXUFAGBqZIgzV+Kx4MujxR5vb20OO2szzF1/BB1HrcW4RXvRpX19rJjaTy3OwKAK9p66is37z1XsBRE9JTz6Onzeeg371gdg59KxyM3Lh9fkdXiS8W8ivWbHMWz8+iQ+/XAgftw4GTZWFvD6cC0eP8kEANz/Jw33k1MxZ3x/HA2dgaWzvHDyzDVM/XyX2rmyc/Lg2akl3h3Q8ZVeI70cBRRSwvLSDx2etCJrsjJw4EBcuHABoaGh+OOPP7Bv3z506tQJDx48kLNbJKPk1CdITEmXHj06NMSNvx/g1wu3AABfH72IL7b+jJNRN4o9PiYuCT4LvkVY+B+Iu5eCX6LjsHDTcfTs0BBV9P79IH8eehJrd0fg6s37xbZDVBG2/+99DO7tCmcnezSpXwNLZnrh7/spuBh7B0BBVWXTNz9jwrvd0NujBRrVtcfS2cORkZWNvUeiAACN6tpj48KR6NaxGerUqIaObRpixpg+OPrbZeTm5knnmurXC6OHdEKjuvayXCtpv7///hsjRoyAtbU1TExM0LJlS0RFRUn7hRCYP38+HBwcYGxsjE6dOuHKlStqbWRlZWHChAmoVq0aTE1N0a9fP9y5c0ctJiUlBd7e3lCpVFCpVPD29sbDhw9L1VfZkpWHDx/i9OnTCA4ORufOnVG7dm20b98eM2fORJ8+fVCnTh0AwFtvvQWFQiE9v379Ovr37w9bW1uYmZmhXbt2OHr0339lf/LJJ3BxcSlyvjZt2mDu3LnS8y1btqBx48YwMjJCo0aNsGbNGrX4s2fPolWrVjAyMkLbtm1x/vz58n8RSCMDfT0M7toc28PK9tpbmCnx6EkW8vJFOfWMqHykpWcAACwtTAAAt+8lI/FBGjzaNZJilIb66NCyPs5djnt+O48zYGZiBH39KhXaX6o4Za6qlHIYKSUlBR07doSBgQEOHTqEq1ev4n//+x8sLS2lmEWLFmHJkiVYtWoVIiMjYWdnh27duuHRo0dSTEBAAPbs2YNdu3bh9OnTePz4MTw9PZGX92/i7OXlhejoaISFhSEsLAzR0dHw9vYu1esj25wVMzMzmJmZYe/evejQoQOUSqXa/sjISNjY2GDLli3o2bMnqlQp+BA+fvwYvXv3xsKFC2FkZITQ0FD07dsXsbGxqFWrFkaOHIkFCxYgMjIS7dq1AwBcvHgR58+fx7fffgsA2LhxI+bNm4dVq1ahVatWOH/+PEaPHg1TU1P4+PggPT0dnp6eePPNN7Ft2zbcvHkTkyZNerUvEKFPx0ZQmRlhx0/RL91GVQtjTBvxBkIORL04mOgVEkLgk1V70b55Xan6kZRc8EegmpW5Wmy1qub4O6H4inNKajqWhx7GiP7uFdthqliveOlycHAwHB0dsWXLFmlbYVEAKHh/Llu2DLNnz8bbb78NAAgNDYWtrS127NgBf39/pKamYtOmTdi6dSu6du0KANi2bRscHR1x9OhR9OjRAzExMQgLC0NERARcXV0BFPwNdnNzQ2xsLJydnUvUX9kqK/r6+ggJCUFoaCgsLS3RsWNHzJo1CxcvXgQAVK9eHQBgaWkJOzs76XmLFi3g7+8PFxcXNGjQAAsXLkTdunWxb98+AEDNmjXRo0cPtR/Ali1b4OHhgbp16wIAPv30U/zvf//D22+/DScnJ7z99tv48MMPsX79egDA9u3bkZeXh82bN6Np06bw9PTEtGnTXnhNWVlZSEtLU3vQyxvRqxWOnv0TCcmPX+p4cxNDfP2ZF2JvJSH4q1Pl3Duisvl46W7EXL+LVfPeLbLv2b85QgigmH81P0rPxLvTN6BBHVt8+F7PCuop/dc8+3coKyurSMy+ffvQtm1bvPPOO7CxsUGrVq2wceNGaf/NmzeRkJCA7t27S9uUSiU8PDzw22+/AQCioqKQk5OjFuPg4IBmzZpJMeHh4VCpVFKiAgAdOnSASqWSYkpC9jkrd+/exb59+9CjRw+cPHkSrVu3RkhIyHOPSU9Px/Tp09GkSRNYWlrCzMwM165dw+3bt6WY0aNHY+fOncjMzEROTg62b9+OkSNHAgCSkpIQHx8PPz8/qbpjZmaGhQsX4vr16wCAmJgYtGjRAiYmJlKbbm5uL7yeoKAgaUxOpVLB0dHxJV8ZcrRRoVPruvjq4MsNAZkZG+K7z0cgPSMbI+Z+jdy8/HLuIdHL+3jpbhz+9TK+Wf4BHGwspe3VrQsqKkkPHqnFJz98jOrPVFseP8nEiKnrYGqsxJef+cGAQ0D/aeU5DOTo6Kj2tygoKKjI+W7cuIG1a9eiQYMG+Omnn/D+++9j4sSJ+OqrgkUNCQkJAABbW1u142xtbaV9CQkJMDQ0RNWqVTXG2NjYFDm/jY2NFFMSsi9dNjIyQrdu3dCtWzfMnTsXo0aNwrx58+Dr61ts/LRp0/DTTz9h8eLFqF+/PoyNjTFo0CBkZ2dLMX379oVSqcSePXugVCqRlZWFgQMHAgDy8wv+aG3cuFEt0wMgDTUJ8XJzG2bOnInJkydLz9PS0piwvCSvni2R9DAdhyP+KPWx5iaG+C54BLKz8+A1ZyeycvJefBDRKyCEwMfLdiPs50v4dsUHqOVgrba/lr01bKws8HNkLJo1rAkAyM7JRUT0X5j1fl8p7lF6JoZPWQtDA31s+XwUjJQGr/Q6qPyV59Ll+Ph4WFhYSNufnWYBFPwtbNu2LQIDAwEArVq1wpUrV7B27Vq8++6/1b5n+ySEeGE/n40pLr4k7TxN9mTlWU2aNJGWKxsYGKhN0gGAX375Bb6+vnjrrbcAFMxhiYuLU4vR19eHj48PtmzZAqVSiaFDh0pVEltbW9SoUQM3btzA8OHDn9uHrVu3IiMjA8bGBfctiIiIeGHflUplsW8KKh2FAhjesyV2Hb5QZFKspbkRatqoYP///wJt4FgNAJD44DESU9JhZmyI3cHeMDEygH/g1zA3UcLcpOBn8k/qE+T/f3s1bSxgaW6MmjYq6Okp0Kxewb8ebv79AOmZOa/qUqmSmb3kO+w9GoVNgaNgZqJEYnLBULG5mRGMlYZQKBTwG/wGVm07AifH6nCqWR0rtx6BsdIQA7q1AVBQUfGavBYZmdlYMccbj9Iz8Si9YFmztaUZqlQpKJj/fT8FD9PS8ff9FOTlCVz5s2CFRp0a1WFqwt9T2kahKHakr9RtAICFhYVaslIce3t7NGnSRG1b48aNsXv3bgCAnZ0dgILKiL39vyvKEhMTpWqLnZ0dsrOzkZKSolZdSUxMhLu7uxRz/37RVZdJSUlFqjaayJasJCcn45133sHIkSPRvHlzmJub49y5c1i0aBH69+8PoGCyz7Fjx9CxY0colUpUrVoV9evXx/fff4++fftCoVBgzpw5UrXkaaNGjULjxo0BAL/++qvavvnz52PixImwsLBAr169kJWVhXPnziElJQWTJ0+Gl5cXZs+eDT8/P3z88ceIi4vD4sWLK/5FIQBAp9Z14WhriW3FrALq5e6MNdMHSM83zxkEoGApcvBXp9CioT3aNSn4F+n5bRPVjm3utQzx91MBADN9O8OrR0tp3y8b3gcAeE4OkZZJE5W3r/YW/C56Z+Iqte1LZg7D4N4Fld5xXl2QmZWD2f/7DqmPn6Bl49rYvmQszEyMAAAXY+Nx/mrBe/S1oQvV2gn/Zg4c7QuqNYu/PIhvwyKlfT1GFvwO+2bFeLi3alABV0f/JR07dkRsbKzatj/++AO1a9cGADg5OcHOzg5HjhxBq1atAADZ2dk4deoUgoMLbqLZpk0bGBgY4MiRIxg8eDAA4N69e7h8+TIWLVoEoGAKRWpqKs6ePYv27dsDAM6cOYPU1FQpoSkJhXjZMY8yysrKwvz583H48GFcv34dOTk5cHR0xDvvvINZs2bB2NgY+/fvx+TJkxEXF4caNWogLi4OcXFxGDlyJCIiIlCtWjXMmDED3377LVq2bIlly5apneONN95AcnJykXXhALBjxw588cUXuHr1KkxNTeHi4oKAgACpYhMREYH3338fMTExaNKkCebMmYOBAweW6g62aWlpUKlUULp/BIW+UVlfMiKtdOfH2XJ3gahCPEpLg1MNa6Smpr6wUvGyCv9O1J3wHfSUpmVqKz8rHTdWDipRfyMjI+Hu7o4FCxZg8ODBOHv2LEaPHo0NGzZIow7BwcEICgrCli1b0KBBAwQGBuLkyZOIjY2FuXlBdXvs2LE4cOAAQkJCYGVlhalTpyI5ORlRUVHS1IpevXrh7t270iKWMWPGoHbt2ti/f3+Jr022ZKWiCSHQqFEj+Pv7q80jeZWYrFBlwGSFdNUrTVYmfocqZUxW8rLScWNFyZIVADhw4ABmzpyJP//8E05OTpg8eTJGjx4t7RdCYMGCBVi/fj1SUlLg6uqK1atXo1mzZlJMZmYmpk2bhh07diAjIwNdunTBmjVr1OZrPnjwABMnTpRW7fbr1w+rVq1Su6fLi+hkspKYmIitW7di3rx5iI+PLzJT+VVhskKVAZMV0lW6nqz8l2jdBNvyYGtri2rVqmHDhg2yJSpEREQlxS8y1EwnkxUdLBYREZEOK8/VQLpI1pvCEREREb2ITlZWiIiI/kv09BTQ0ytbaUSU8XhtxmSFiIhIZhwG0ozDQERERKTVWFkhIiKSGVcDacZkhYiISGYcBtKMyQoREZHMWFnRjHNWiIiISKuxskJERCQzVlY0Y7JCREQkM85Z0YzDQERERKTVWFkhIiKSmQLlMAwE3S2tMFkhIiKSGYeBNOMwEBEREWk1VlaIiIhkxtVAmjFZISIikhmHgTTjMBARERFpNVZWiIiIZMZhIM2YrBAREcmMw0CaMVkhIiKSGSsrmnHOChEREWk1VlaIiIjkVg7DQDp8A1smK0RERHLjMJBmHAYiIiIircbKChERkcy4GkgzJitEREQy4zCQZhwGIiIiIq3GygoREZHMOAykGZMVIiIimXEYSDMOAxEREZFWY2WFiIhIZqysaMZkhYiISGacs6IZkxUiIiKZsbKiGeesEBERkVZjZYWIiEhmHAbSjMkKERGRzDgMpBmHgYiIiEirsbJCREQkMwXKYRioXHqinZisEBERyUxPoYBeGbOVsh6vzTgMRERERFqNlRUiIiKZcTWQZkxWiIiIZMbVQJoxWSEiIpKZnqLgUdY2dBXnrBAREZFWY2WFiIhIbopyGMbR4coKkxUiIiKZcYKtZhwGIiIiIq3GygoREZHMFP//X1nb0FVMVoiIiGTG1UCacRiIiIiItBorK0RERDLjTeE0K1GysmLFihI3OHHixJfuDBERUWX0qlcDzZ8/HwsWLFDbZmtri4SEBACAEAILFizAhg0bkJKSAldXV6xevRpNmzaV4rOysjB16lTs3LkTGRkZ6NKlC9asWYOaNWtKMSkpKZg4cSL27dsHAOjXrx9WrlwJS0vLUl1biZKVpUuXlqgxhULBZIWIiOg/oGnTpjh69Kj0vEqVKtL/L1q0CEuWLEFISAgaNmyIhQsXolu3boiNjYW5uTkAICAgAPv378euXbtgbW2NKVOmwNPTE1FRUVJbXl5euHPnDsLCwgAAY8aMgbe3N/bv31+qvpYoWbl582apGiUiIqKS01MooFfG0kppj9fX14ednV2R7UIILFu2DLNnz8bbb78NAAgNDYWtrS127NgBf39/pKamYtOmTdi6dSu6du0KANi2bRscHR1x9OhR9OjRAzExMQgLC0NERARcXV0BABs3boSbmxtiY2Ph7Oxc8msr1ZU9JTs7G7GxscjNzX3ZJoiIiAj/DgOV9QEAaWlpao+srKxiz/nnn3/CwcEBTk5OGDp0KG7cuAGgoECRkJCA7t27S7FKpRIeHh747bffAABRUVHIyclRi3FwcECzZs2kmPDwcKhUKilRAYAOHTpApVJJMSVV6mTlyZMn8PPzg4mJCZo2bYrbt28DKJir8vnnn5e2OSIiokqvcIJtWR8A4OjoCJVKJT2CgoKKnM/V1RVfffUVfvrpJ2zcuBEJCQlwd3dHcnKyNG/F1tZW7Zin57QkJCTA0NAQVatW1RhjY2NT5Nw2NjZSTEmVOlmZOXMmLly4gJMnT8LIyEja3rVrV3z99delbY6IiIjKUXx8PFJTU6XHzJkzi8T06tULAwcOhIuLC7p27Yoff/wRQMFwT6FnVxcJIV644ujZmOLiS9LOs0qdrOzduxerVq3Ca6+9pnayJk2a4Pr166VtjoiIqNIrz2EgCwsLtYdSqXzh+U1NTeHi4oI///xTmsfybPUjMTFRqrbY2dkhOzsbKSkpGmPu379f5FxJSUlFqjYvUupkJSkpqdiyTnp6uk6v8SYiIqoohRNsy/p4WVlZWYiJiYG9vT2cnJxgZ2eHI0eOSPuzs7Nx6tQpuLu7AwDatGkDAwMDtZh79+7h8uXLUoybmxtSU1Nx9uxZKebMmTNITU2VYkr8+pT2gtq1ayeVi4B/SzyFM3yJiIhIu02dOhWnTp3CzZs3cebMGQwaNAhpaWnw8fGBQqFAQEAAAgMDsWfPHly+fBm+vr4wMTGBl5cXAEClUsHPzw9TpkzBsWPHcP78eYwYMUIaVgKAxo0bo2fPnhg9ejQiIiIQERGB0aNHw9PTs1QrgYCXuINtUFAQevbsiatXryI3NxfLly/HlStXEB4ejlOnTpW2OSIiokpP8f+PsrZRUnfu3MGwYcPwzz//oHr16ujQoQMiIiJQu3ZtAMD06dORkZGBcePGSTeFO3z4sHSPFaDgHmz6+voYPHiwdFO4kJAQtfu1bN++HRMnTpRWDfXr1w+rVq0q/bUJIURpD7p06RIWL16MqKgo5Ofno3Xr1pgxYwZcXFxK3QFdlpaWBpVKBaX7R1DoG734AKL/oDs/zpa7C0QV4lFaGpxqWCM1NRUWFhYVco7CvxMD1/0CA2OzMrWVk/EYu99/vUL7K5eX+m4gFxcXtRnDRERERBXlpZKVvLw87NmzBzExMVAoFGjcuDH69+8PfX1+LyIREVFp6SkKHmVtQ1eVOru4fPky+vfvj4SEBGmCzB9//IHq1atj3759HAoiIiIqJX7rsmalXg00atQoNG3aFHfu3MHvv/+O33//HfHx8WjevDnGjBlTEX0kIiKiSqzUlZULFy7g3LlzarfYrVq1Kj777DO0a9euXDtHRERUWehwYaTMSl1ZcXZ2LvaOdImJiahfv365dIqIiKgyKc/vBtJFJaqspKWlSf8fGBiIiRMnYv78+ejQoQMAICIiAp988gmCg4MrppdEREQ6jBNsNStRsmJpaamWsQkhMHjwYGlb4a1a+vbti7y8vAroJhEREVVWJUpWTpw4UdH9ICIiqrS4GkizEiUrHh4eFd0PIiKiSutV327/v+al7+L25MkT3L59G9nZ2WrbmzdvXuZOERERERUqdbKSlJSE9957D4cOHSp2P+esEBERlY6eQgG9Mg7jlPV4bVbqpcsBAQFISUlBREQEjI2NERYWhtDQUDRo0AD79u2riD4SERHpNIWifB66qtSVlePHj+OHH35Au3btoKenh9q1a6Nbt26wsLBAUFAQ+vTpUxH9JCIiokqq1JWV9PR02NjYAACsrKyQlJQEoOCbmH///ffy7R0REVElwJvCafZSd7CNjY0FALRs2RLr16/H33//jXXr1sHe3r7cO0hERKTrOAykWamHgQICAnDv3j0AwLx589CjRw9s374dhoaGCAkJKe/+ERERUSVX6mRl+PDh0v+3atUKcXFxuHbtGmrVqoVq1aqVa+eIiIgqA64G0uyl77NSyMTEBK1bty6PvhAREVVK5TGMo8O5SsmSlcmTJ5e4wSVLlrx0Z4iIiCoj3m5fsxIlK+fPny9RY7r8QhEREZE8+EWGr8Dt/TNhYWEhdzeIKkTVdh/I3QWiCiHysl8cVE708BLLc4tpQ1eVec4KERERlQ2HgTTT5USMiIiIdAArK0RERDJTKAA9rgZ6LiYrREREMtMrh2SlrMdrMw4DERERkVZ7qWRl69at6NixIxwcHHDr1i0AwLJly/DDDz+Ua+eIiIgqA36RoWalTlbWrl2LyZMno3fv3nj48CHy8vIAAJaWlli2bFl594+IiEjnFQ4DlfWhq0qdrKxcuRIbN27E7NmzUaVKFWl727ZtcenSpXLtHBEREVGpJ9jevHkTrVq1KrJdqVQiPT29XDpFRERUmfC7gTQrdWXFyckJ0dHRRbYfOnQITZo0KY8+ERERVSqF37pc1oeuKnVlZdq0aRg/fjwyMzMhhMDZs2exc+dOBAUF4csvv6yIPhIREek03m5fs1InK++99x5yc3Mxffp0PHnyBF5eXqhRowaWL1+OoUOHVkQfiYiIqBJ7qZvCjR49GqNHj8Y///yD/Px82NjYlHe/iIiIKg3OWdGsTHewrVatWnn1g4iIqNLSQ9nnnOhBd7OVUicrTk5OGm88c+PGjTJ1iIiIiOhppU5WAgIC1J7n5OTg/PnzCAsLw7Rp08qrX0RERJUGh4E0K3WyMmnSpGK3r169GufOnStzh4iIiCobfpGhZuW20qlXr17YvXt3eTVHREREBKCME2yf9t1338HKyqq8miMiIqo0FAqUeYIth4Ge0qpVK7UJtkIIJCQkICkpCWvWrCnXzhEREVUGnLOiWamTlQEDBqg919PTQ/Xq1dGpUyc0atSovPpFREREBKCUyUpubi7q1KmDHj16wM7OrqL6REREVKlwgq1mpZpgq6+vj7FjxyIrK6ui+kNERFTpKMrpP11V6tVArq6uOH/+fEX0hYiIqFIqrKyU9aGrSj1nZdy4cZgyZQru3LmDNm3awNTUVG1/8+bNy61zRERERCVOVkaOHIlly5ZhyJAhAICJEydK+xQKBYQQUCgUyMvLK/9eEhER6TDOWdGsxMlKaGgoPv/8c9y8ebMi+0NERFTpKBQKjd+7V9I2dFWJkxUhBACgdu3aFdYZIiIiomeVas6KLmdtREREcuEwkGalSlYaNmz4woTlwYMHZeoQERFRZcM72GpWqmRlwYIFUKlUFdUXIiIioiJKlawMHToUNjY2FdUXIiKiSklPoSjzFxmW5figoCDMmjULkyZNwrJlywAUzFVdsGABNmzYgJSUFLi6umL16tVo2rSpdFxWVhamTp2KnTt3IiMjA126dMGaNWtQs2ZNKSYlJQUTJ07Evn37AAD9+vXDypUrYWlpWfJrK2kg56sQERFVDDlvChcZGYkNGzYUuU/aokWLsGTJEqxatQqRkZGws7NDt27d8OjRIykmICAAe/bswa5du3D69Gk8fvwYnp6earcx8fLyQnR0NMLCwhAWFobo6Gh4e3uX7vUpaWDhaiAiIiLSDY8fP8bw4cOxceNGVK1aVdouhMCyZcswe/ZsvP3222jWrBlCQ0Px5MkT7NixAwCQmpqKTZs24X//+x+6du2KVq1aYdu2bbh06RKOHj0KAIiJiUFYWBi+/PJLuLm5wc3NDRs3bsSBAwcQGxtb4n6WOFnJz8/nEBAREVFFUPw7yfZlHy/z1UDjx49Hnz590LVrV7XtN2/eREJCArp37y5tUyqV8PDwwG+//QYAiIqKQk5OjlqMg4MDmjVrJsWEh4dDpVLB1dVViunQoQNUKpUUUxKlvt0+ERERlS89KKBXxi8iLDw+LS1NbbtSqYRSqSwSv2vXLvz++++IjIwssi8hIQEAYGtrq7bd1tYWt27dkmIMDQ3VKjKFMYXHJyQkFFvosLGxkWJKotRfZEhERETlq6xVlaeXPjs6OkKlUkmPoKCgIueLj4/HpEmTsG3bNhgZGWnol3oCVfjVOpo8G1NcfEnaeRorK0RERDokPj4eFhYW0vPiqipRUVFITExEmzZtpG15eXn4+eefsWrVKmk+SUJCAuzt7aWYxMREqdpiZ2eH7OxspKSkqFVXEhMT4e7uLsXcv3+/yPmTkpKKVG00YWWFiIhIZuW5GsjCwkLtUVyy0qVLF1y6dAnR0dHSo23bthg+fDiio6NRt25d2NnZ4ciRI9Ix2dnZOHXqlJSItGnTBgYGBmox9+7dw+XLl6UYNzc3pKam4uzZs1LMmTNnkJqaKsWUBCsrREREMnvV91kxNzdHs2bN1LaZmprC2tpa2h4QEIDAwEA0aNAADRo0QGBgIExMTODl5QUAUKlU8PPzw5QpU2BtbQ0rKytMnToVLi4u0oTdxo0bo2fPnhg9ejTWr18PABgzZgw8PT3h7Oxc4v4yWSEiIqIipk+fjoyMDIwbN066Kdzhw4dhbm4uxSxduhT6+voYPHiwdFO4kJAQVKlSRYrZvn07Jk6cKK0a6tevH1atWlWqvigEb6BSYdLS0qBSqXA/OVVt/JBIl1Rt94HcXSCqECIvG1mXNiI1teJ+hxf+nVh+7BKMTc1ffIAGGemPMKmLS4X2Vy6srBAREclMD+UwDFTGpc/ajBNsiYiISKuxskJERCSzp++TUpY2dBWTFSIiIpnpoexDHbo8VKLL10ZEREQ6gJUVIiIimSkUilLdfv55begqJitEREQye8kvTS7Shq5iskJERCSzV30H2/8azlkhIiIircbKChERkRbQ3bpI2TFZISIikhnvs6IZh4GIiIhIq7GyQkREJDMuXdaMyQoREZHMeAdbzXT52oiIiEgHsLJCREQkMw4DacZkhYiISGa8g61mHAYiIiIircbKChERkcw4DKQZkxUiIiKZcTWQZkxWiIiIZMbKima6nIgRERGRDmBlhYiISGZcDaQZkxUiIiKZ8YsMNeMwEBEREWk1VlaIiIhkpgcF9Mo4kFPW47UZkxUiIiKZcRhIMw4DERERkVZjZYWIiEhmiv//r6xt6ComK0RERDLjMJBmHAYiIiIircbKChERkcwU5bAaiMNAREREVGE4DKQZkxUiIiKZMVnRjHNWiIiISKuxskJERCQzLl3WjMkKERGRzPQUBY+ytqGrOAxEREREWo2VFSIiIplxGEgzJitEREQy42ogzTgMRERERFqNlRUiIiKZKVD2YRwdLqwwWSEiIpIbVwNpxmEgIiIi0mqsrDxDCAF/f3989913SElJwfnz59GyZUu5u1Vp/Pr7X1i59SguXLuNhH/SsO2L0ejTqYVaTOzNBMxfuRe//v4XhBBoVNcem4NGwtHOCgBw/580zF2xByfPXMPjJ1moX9sGk9/rgf5dWklt/HXrPuau2IszF24gJzcPjes54OOxnni9bcNXer1UuVz4YQFqOVgX2f7ltz9j2qJv1LYtnTkUvm+/hplLvsO6nSel7fvXTcJrbRqoxX5/OAp+s7cUadfQQB9HQ6bCpWFNvD48CJf/+Lt8LoTKHVcDaaaTyYqvry8ePnyIvXv3lvrYsLAwhISE4OTJk6hbty6qVasGhUKBPXv2YMCAAeXeV1L3JCMLzRrWwPC+HfDujC+L7L95Jwm9Ri/BiH7umOnfBxamxoiNS4CRoYEU8/68UKQ9zsSOJf6wVpnhu5/OYeSszTjx1XQ0d3YEAAz5cB3q1bLBD2snwlhpgLU7T2Doh+vw+575sK1m8cqulyqXN32+QJUq//5BaVzPAXtXT8Deo+fV4np7NEebZnVwN/Fhse2E7PkVQesPSM8zM3OKjVswsT8SklLh0rBm2TtPFYqrgTTjMNAzrl+/Dnt7e7i7u8POzg76+jqZz2mtbh2b4uOxfdH3zZbF7v90zX50c2+KTyYOQHNnR9SpWQ09XmuG6lbmUkzkpZsYPcQDbZrWQZ2a1TDVrydU5sa4cC0eAJD88DFuxCchwKcbmjWogXq1bDDvg/54kpmNazfuvYrLpEoq+eFjJCY/kh49XmuGG/FJ+PX3P6UY++oqLJr2DsbMCUFubl6x7WRkZqu1k5aeWSSmq3sTdHZtjDnL91TY9VD5UZTTQ1dVumTl6tWr6N27N8zMzGBrawtvb2/8888/AAoqMhMmTMDt27ehUChQp04d1KlTBwDw1ltvSdtIHvn5+Tjy6xXUr2WDgRNWoUH3j9DV9wv8ePKCWlyHFvWw50gUUlLTkZ+fj92HzyE7O1cqnVupTOHsZIevfzyL9Iws5ObmIeT707CxMkfLxo5yXBpVQgb6VTC4Vzts3xcubVMoFFi34F2s3HYM124kPPfYd3q2xV9HPsdvX8/GJ5PegpmJUm1/dStzLJs1DO/P+wpPMrMr7BqIXpVKVTa4d+8ePDw8MHr0aCxZsgQZGRmYMWMGBg8ejOPHj2P58uWoV68eNmzYgMjISFSpUgUAYGNjgy1btqBnz57StuJkZWUhKytLep6Wllbh11SZJD14jMdPsrAs9Ahmj/XE/A8G4Gj4VXhP/xL7105Ex/9PRjYFjYTfzM2o23UG9KvowdjIEFu/GA2nmtUBFPxB+H7VBxg+dT0cPaZCT08BGytzfLdiPFTmJnJeIlUifTo1h8rMGDsOnJG2Bfh0Q25ePtbvOvnc474Ni8Stu8lITE5D47oOmDu+L5o1qIG3P1glxayZNwJbvj+N6JjbcLS3qsjLoHKiBwX0yjiOo6fDtZVKlaysXbsWrVu3RmBgoLRt8+bNcHR0xB9//IGGDRvC3NwcVapUgZ2dndqxlpaWRbY9KygoCAsWLKiQvhOQL/IBAL08XDDO600AgItzTZy9eAObvz8tJSufrd2Ph4+eYO/qCbCyNMXBUxfh+9FmHNwYgKb1a0AIganBX6NaVXMc3BgAY6Uhvtr7G4ZOXodjodNgV00l2zVS5TGinzuOhl9Fwj+pAIAWjRzhP7QTOo0I1njcV3t/k/4/5vo9XI9PxMmtM9DcuSYuxt7BmCEeMDc1wtKQwxXafypf5TGMo7upSiUbBoqKisKJEydgZmYmPRo1agSgYK5KWc2cOROpqanSIz4+vsxt0r+sLc2gX0UPjZzs1bY3dLLDnYQUAAUTcDd+8zNWzhkBj/bOcGlYEzNG90arxrXw5bc/AwB+jvwDP52+jE2fvYcOLeqhRSNH/O+jITBSGmDnU//KJaoojnZV0am9s1ri4daqHqpXNcOl/Z8gKXw5ksKXo5aDNRZOehsXfnj+P4IuXItHdk4u6tWyAQC80bYh2jZzwv1flyEpfDl+/34eAOBE6HSsmeddsRdGVEEqVWUlPz8fffv2RXBw0X+52NvbF3NE6SiVSiiVyhcH0ksxNNBHqya18eet+2rbr99OhKN9VQCQxuf1nrk7UpUqCoh88UyMeq6up1AgX4gK6TvR07z6uiEp5REO/3pF2vb1wUicOhurFvfdivH45tBZbN8f8dy2Gtezh6GBPu7/f4Xmo8Xf4bN1/64UsqumwverPsDIWVsQdSWufC+Eyg9LKxpVqmSldevW2L17N+rUqVOqVT4GBgbIyyt+Vj6Vr8dPsnAzPkl6futuMi7F3oGlygSOdlaY6N0VI2dthnur+ni9bUMcDb+KsF8uY/+6SQCAhnXsUNexOj4M2olPJ70FK5Upfjx5ESfOxGLX0vcBAO2bO8HS3ATj5n+FaaN6wVhpgNC9v+HW3WR079hUluumykOhUGB43w7Y9eMZ5OXlS9tTUtORkpquFpubm4f7yWn461YiAKBOjWp4p1dbHPn1KpIfPkYjJzt8GvA2LlyLR8SFGwCAO/dTgKfy+cdPCubR3fw76blLoUl+vM+KZjo7DJSamoro6Gi1h7+/Px48eIBhw4bh7NmzuHHjBg4fPoyRI0dqTEbq1KmDY8eOISEhASkpKa/wKiqf6JhbeGPE53hjxOcAgNlLv8cbIz5H0LofAQCenVtgycyhWLH1KDoOC8TWvb/hq+BRcGtZD0DBCotvlo1FNUszDJu8Hq8NC8Kug2exZr63lIhYW5rhuxXjkJ6Rhf7jVuBNny9w5sJ1bF88hvejoArXqb0zHO2tsG3f86slz5OTmwuPds7YvWI8Ir+bg8+nvoMTZ2IwYPxK5OezKkglt3btWjRv3hwWFhawsLCAm5sbDh06JO0XQmD+/PlwcHCAsbExOnXqhCtXrqi1kZWVhQkTJqBatWowNTVFv379cOfOHbWYlJQUeHt7Q6VSQaVSwdvbGw8fPix1fxVC6F7d29fXF6GhoUW2+/j4YPbs2ZgxYwZOnDiBrKws1K5dGz179sSSJUugUCiwbNkyLFu2DHFxcdJx+/fvx+TJkxEXF4caNWqo7dMkLS0NKpUK95NTYWHBG42Rbqra7gO5u0BUIUReNrIubURqasX9Di/8O3Es+jbMzMt2jseP0tClZa0S9Xf//v2oUqUK6tevDwAIDQ3FF198gfPnz6Np06YIDg7GZ599hpCQEDRs2BALFy7Ezz//jNjYWJibF9zXauzYsdi/fz9CQkJgbW2NKVOm4MGDB4iKipJWzvbq1Qt37tzBhg0bAABjxoxBnTp1sH///lJdm04mK9qCyQpVBkxWSFe9ymTleDklK2+WMFkpjpWVFb744guMHDkSDg4OCAgIwIwZMwAUVFFsbW0RHBwMf39/pKamonr16ti6dSuGDBkCALh79y4cHR1x8OBB9OjRAzExMWjSpAkiIiLg6uoKAIiIiICbmxuuXbsGZ2fnEvdNZ4eBiIiI6MXy8vKwa9cupKenw83NDTdv3kRCQgK6d+8uxSiVSnh4eOC33wpWsEVFRSEnJ0ctxsHBAc2aNZNiwsPDoVKppEQFADp06ACVSiXFlFSlmmBLRESklcpxNdCzNyR93krVS5cuwc3NDZmZmTAzM8OePXvQpEkTKZGwtbVVi7e1tcWtW7cAAAkJCTA0NETVqlWLxCQkJEgxNjY2Rc5rY2MjxZQUKytEREQyU5TTfwDg6OgoTWhVqVQICgoq9pzOzs6Ijo5GREQExo4dCx8fH1y9evXfPj1zR10hRJFtz3o2prj4krTzLFZWiIiIZFae37ocHx+vNmfleff/MjQ0lCbYtm3bFpGRkVi+fLk0TyUhIUHtHmSJiYlStcXOzg7Z2dlISUlRq64kJibC3d1dirl/X/2+WACQlJRUpGrzIqysEBER6ZDC5ciFj5LerFQIgaysLDg5OcHOzg5HjhyR9mVnZ+PUqVNSItKmTRsYGBioxdy7dw+XL1+WYtzc3JCamoqzZ89KMWfOnEFqaqoUU1KsrBAREcnsVd/AdtasWejVqxccHR3x6NEj7Nq1CydPnkRYWBgUCgUCAgIQGBiIBg0aoEGDBggMDISJiQm8vLwAACqVCn5+fpgyZQqsra1hZWWFqVOnwsXFBV27dgUANG7cGD179sTo0aOxfv16AAVLlz09PUu1EghgskJERCS/V5yt3L9/H97e3rh37x5UKhWaN2+OsLAwdOvWDQAwffp0ZGRkYNy4cUhJSYGrqysOHz4s3WMFAJYuXQp9fX0MHjwYGRkZ6NKlC0JCQqR7rADA9u3bMXHiRGnVUL9+/bBq1SqUFu+zUoF4nxWqDHifFdJVr/I+K6cuxZfLfVY8XBwrtL9yYWWFiIhIZvxuIM2YrBAREcmsPFcD6SKuBiIiIiKtxsoKERGRzF71aqD/GiYrREREcmO2ohGHgYiIiEirsbJCREQkM64G0ozJChERkcy4GkgzJitEREQy45QVzThnhYiIiLQaKytERERyY2lFIyYrREREMuMEW804DERERERajZUVIiIimXE1kGZMVoiIiGTGKSuacRiIiIiItBorK0RERHJjaUUjJitEREQy42ogzTgMRERERFqNlRUiIiKZcTWQZkxWiIiIZMYpK5oxWSEiIpIbsxWNOGeFiIiItBorK0RERDLjaiDNmKwQERHJrRwm2OpwrsJhICIiItJurKwQERHJjPNrNWOyQkREJDdmKxpxGIiIiIi0GisrREREMuNqIM2YrBAREcmMt9vXjMNAREREpNVYWSEiIpIZ59dqxmSFiIhIbsxWNGKyQkREJDNOsNWMc1aIiIhIq7GyQkREJDMFymE1ULn0RDsxWSEiIpIZp6xoxmEgIiIi0mqsrBAREcmMN4XTjMkKERGR7DgQpAmHgYiIiEirsbJCREQkMw4DacZkhYiISGYcBNKMw0BERESk1VhZISIikhmHgTRjskJERCQzfjeQZkxWiIiI5MZJKxpxzgoRERFpNVZWiIiIZMbCimZMVoiIiGTGCbaacRiIiIiItBorK0RERDLjaiDNWFkhIiKSm6KcHiUUFBSEdu3awdzcHDY2NhgwYABiY2PVYoQQmD9/PhwcHGBsbIxOnTrhypUrajFZWVmYMGECqlWrBlNTU/Tr1w937txRi0lJSYG3tzdUKhVUKhW8vb3x8OHDkncWTFaIiIgqnVOnTmH8+PGIiIjAkSNHkJubi+7duyM9PV2KWbRoEZYsWYJVq1YhMjISdnZ26NatGx49eiTFBAQEYM+ePdi1axdOnz6Nx48fw9PTE3l5eVKMl5cXoqOjERYWhrCwMERHR8Pb27tU/VUIIUTZL5uKk5aWBpVKhfvJqbCwsJC7O0QVomq7D+TuAlGFEHnZyLq0EampFfc7vPDvxI2/k2FexnM8SktD3RrWL9XfpKQk2NjY4NSpU3jjjTcghICDgwMCAgIwY8YMAAVVFFtbWwQHB8Pf3x+pqamoXr06tm7diiFDhgAA7t69C0dHRxw8eBA9evRATEwMmjRpgoiICLi6ugIAIiIi4ObmhmvXrsHZ2blE/WNlhYiISGaFq4HK+nhZqampAAArKysAwM2bN5GQkIDu3btLMUqlEh4eHvjtt98AAFFRUcjJyVGLcXBwQLNmzaSY8PBwqFQqKVEBgA4dOkClUkkxJcEJtkRERDokLS1N7blSqYRSqXxuvBACkydPxmuvvYZmzZoBABISEgAAtra2arG2tra4deuWFGNoaIiqVasWiSk8PiEhATY2NkXOaWNjI8WUBCsrREREslOU+b/CGbaOjo7SZFaVSoWgoCCNZ/7ggw9w8eJF7Ny5s2ivninXCCGKbHvWszHFxZeknaexskJERCSz8rwpXHx8vNqcFU1VlQkTJmDfvn34+eefUbNmTWm7nZ0dgILKiL29vbQ9MTFRqrbY2dkhOzsbKSkpatWVxMREuLu7SzH3798vct6kpKQiVRtNWFkhIiLSIRYWFmqP4pIVIQQ++OADfP/99zh+/DicnJzU9js5OcHOzg5HjhyRtmVnZ+PUqVNSItKmTRsYGBioxdy7dw+XL1+WYtzc3JCamoqzZ89KMWfOnEFqaqoUUxKsrBAREVUy48ePx44dO/DDDz/A3Nxcmj+iUqlgbGwMhUKBgIAABAYGokGDBmjQoAECAwNhYmICLy8vKdbPzw9TpkyBtbU1rKysMHXqVLi4uKBr164AgMaNG6Nnz54YPXo01q9fDwAYM2YMPD09S7wSCGCyQkREJLtX/d1Aa9euBQB06tRJbfuWLVvg6+sLAJg+fToyMjIwbtw4pKSkwNXVFYcPH4a5ubkUv3TpUujr62Pw4MHIyMhAly5dEBISgipVqkgx27dvx8SJE6VVQ/369cOqVatKd228z0rF4X1WqDLgfVZIV73K+6zcTkgp8znS0tJQy65qhfZXLpyzQkRERFqNw0BEREQye9XDQP81TFaIiIhkVsrvIXxuG7qKw0BERESk1VhZISIikhtLKxoxWSEiIpLZv7fML1sbuorDQERERKTVWFkhIiKSGVcDacZkhYiISGacsqIZkxUiIiK5MVvRiHNWiIiISKuxskJERCQzrgbSjMkKERGRzDjBVjMmKxWo8AutH6WlydwToooj8rLl7gJRhSh8bxf+Lq9IaeXwd6I82tBWTFYq0KNHjwAA9Z0cZe4JERG9rEePHkGlUlVI24aGhrCzs0ODcvo7YWdnB0NDw3JpS5soxKtIGSup/Px83L17F+bm5lDocn1OS6SlpcHR0RHx8fGwsLCQuztE5Y7v8VdLCIFHjx7BwcEBenoVtx4lMzMT2dnlU6E0NDSEkZFRubSlTVhZqUB6enqoWbOm3N2odCwsLPiLnHQa3+OvTkVVVJ5mZGSkkwlGeeLSZSIiItJqTFaIiIhIqzFZIZ2hVCoxb948KJVKubtCVCH4HqfKihNsiYiISKuxskJERERajckKERERaTUmK0RERKTVmKwQvUBcXBwUCgWio6Pl7gqRGiEExowZAysrK75HSacxWSFZJCYmwt/fH7Vq1YJSqYSdnR169OiB8PBwAIBCocDevXvl7STRK+Dr64sBAwa81LFhYWEICQnBgQMHcO/ePTRr1oyfHdJJvIMtyWLgwIHIyclBaGgo6tati/v37+PYsWN48OCB3F0j+s+4fv067O3t4e7uLndXiCoUKyv0yj18+BCnT59GcHAwOnfujNq1a6N9+/aYOXMm+vTpgzp16gAA3nrrLSgUCun59evX0b9/f9ja2sLMzAzt2rXD0aNHpXY/+eQTuLi4FDlfmzZtMHfuXOn5li1b0LhxYxgZGaFRo0ZYs2aNWvzZs2fRqlUrGBkZoW3btjh//nz5vwhEJXD16lX07t0bZmZmsLW1hbe3N/755x8ABRWZCRMm4Pbt29Ln5HmfHaL/OiYr9MqZmZnBzMwMe/fuRVZWVpH9kZGRAAqSinv37knPHz9+jN69e+Po0aM4f/48evTogb59++L27dsAgJEjR+Lq1atSPABcvHgR58+fh6+vLwBg48aNmD17Nj777DPExMQgMDAQc+bMQWhoKAAgPT0dnp6ecHZ2RlRUFObPn4+pU6dW5MtBVKx79+7Bw8MDLVu2xLlz5xAWFob79+9j8ODBAIDly5fjk08+Qc2aNaXPyfM+O0T/eYJIBt99952oWrWqMDIyEu7u7mLmzJniwoUL0n4AYs+ePS9sp0mTJmLlypXS8169eomxY8dKzwMCAkSnTp2k546OjmLHjh1qbXz66afCzc1NCCHE+vXrhZWVlUhPT5f2r127VgAQ58+fL+1lEr2Qj4+P6N+/f5Htc+bMEd27d1fbFh8fLwCI2NhYIYQQS5cuFbVr11aLKelnh+i/hJUVksXAgQNx9+5d7Nu3Dz169MDJkyfRunVrhISEPPeY9PR0TJ8+HU2aNIGlpSXMzMxw7do1qbICAKNHj8bOnTuRmZmJnJwcbN++HSNHjgQAJCUlIT4+Hn5+flJ1x8zMDAsXLsT169cBADExMWjRogVMTEykNt3c3CrmRSDSICoqCidOnFB7rzZq1AgApPcrUWXBCbYkGyMjI3Tr1g3dunXD3LlzMWrUKMybN08asnnWtGnT8NNPP2Hx4sWoX78+jI2NMWjQIGRnZ0sxffv2hVKpxJ49e6BUKpGVlYWBAwcCAPLz8wEUDAW5urqqtV2lShUABUtBibRBfn4++vbti+Dg4CL77O3tZegRkXyYrJDWaNKkibTk0sDAAHl5eWr7f/nlF/j6+uKtt94CUDCHJS4uTi1GX18fPj4+2LJlC5RKJYYOHSpVSWxtbVGjRg3cuHEDw4cPf24ftm7dioyMDBgbGwMAIiIiyvEqiUqmdevW2L17N+rUqQN9/ZL/qi7us0P0X8dhIHrlkpOT8eabb2Lbtm24ePEibt68iW+//RaLFi1C//79AQB16tTBsWPHkJCQgJSUFABA/fr18f333yM6OhoXLlyAl5eXVC152qhRo3D8+HEcOnRIGgIqNH/+fAQFBWH58uX4448/cOnSJWzZsgVLliwBAHh5eUFPTw9+fn64evUqDh48iMWLF1fwK0KVXWpqKqKjo9Ue/v7+ePDgAYYNG4azZ8/ixo0bOHz4MEaOHKkxGSnus0P0nyf3pBmqfDIzM8VHH30kWrduLVQqlTAxMRHOzs7i448/Fk+ePBFCCLFv3z5Rv359oa+vL00gvHnzpujcubMwNjYWjo6OYtWqVcLDw0NMmjSpyDlef/110aRJk2LPv337dtGyZUthaGgoqlatKt544w3x/fffS/vDw8NFixYthKGhoWjZsqXYvXs3J9hShfHx8REAijx8fHzEH3/8Id566y1haWkpjI2NRaNGjURAQIDIz88XQhQ/wba4zw7Rf51CCA7Sk24RQqBRo0bw9/fH5MmT5e4OERGVEeeskE5JTEzE1q1b8ffff+O9996TuztERFQOmKyQTrG1tUW1atWwYcMGVK1aVe7uEBFROWCyQjqFo5pERLqHq4GIiIhIqzFZISIiIq3GZIWIiIi0GpMVIiIi0mpMVoh03Pz589GyZUvpua+vLwYMGPDK+xEXFweFQoHo6OjnxtSpUwfLli0rcZshISGwtLQsc98UCoX0VQ9EpH2YrBDJwNfXFwqFAgqFAgYGBqhbty6mTp2K9PT0Cj/38uXLNX679dNKkmAQEVU0Ll0mkknPnj2xZcsW5OTk4JdffsGoUaOQnp6OtWvXFonNycmBgYFBuZxXpVKVSztERK8KKytEMlEqlbCzs4OjoyO8vLwwfPhwaSiicOhm8+bNqFu3LpRKJYQQSE1NxZgxY2BjYwMLCwu8+eabuHDhglq7n3/+OWxtbWFubg4/Pz9kZmaq7X92GCg/Px/BwcGoX78+lEolatWqhc8++wwA4OTkBABo1aoVFAoFOnXqJB23ZcsWNG7cGEZGRmjUqBHWrFmjdp6zZ8+iVatWMDIyQtu2bXH+/PlSv0ZLliyBi4sLTE1N4ejoiHHjxuHx48dF4vbu3YuGDRvCyMgI3bp1Q3x8vNr+/fv3o02bNjAyMkLdunWxYMEC5Obmlro/RCQPJitEWsLY2Bg5OTnS87/++gvffPMNdu/eLQ3D9OnTBwkJCTh48CCioqLQunVrdOnSBQ8ePAAAfPPNN5g3bx4+++wznDt3Dvb29kWSiGfNnDkTwcHBmDNnDq5evYodO3bA1tYWQEHCAQBHjx7FvXv38P333wMANm7ciNmzZ+Ozzz5DTEwMAgMDMWfOHISGhgIA0tPT4enpCWdnZ0RFRWH+/PmYOnVqqV8TPT09rFixApcvX0ZoaCiOHz+O6dOnq8U8efIEn332GUJDQ/Hrr78iLS0NQ4cOlfb/9NNPGDFiBCZOnIirV69i/fr1CAkJkRIyIvoPkPVrFIkqKR8fH9G/f3/p+ZkzZ4S1tbUYPHiwEEKIefPmCQMDA5GYmCjFHDt2TFhYWIjMzEy1turVqyfWr18vhBDCzc1NvP/++2r7XV1dRYsWLYo9d1pamlAqlWLjxo3F9vPmzZvFfuO0o6Oj2LFjh9q2Tz/9VLi5uQkhhFi/fr2wsrIS6enp0v61a9e+8Nura9euLZYuXfrc/d98842wtraWnm/ZskUAEBEREdK2mJgYAUCcOXNGCFHwDdyBgYFq7WzdulXY29tLzwGIPXv2PPe8RCQvzlkhksmBAwdgZmaG3Nxc5OTkoH///li5cqW0v3bt2qhevbr0PCoqCo8fP4a1tbVaOxkZGbh+/ToAICYmBu+//77afjc3N5w4caLYPsTExCArKwtdunQpcb+TkpIQHx8PPz8/jB49Wtqem5srzYeJiYlBixYtYGJiotaP0jpx4gQCAwNx9epVpKWlITc3F5mZmUhPT4epqSkAQF9fH23btpWOadSoESwtLRETE4P27dsjKioKkZGRapWUvLw8ZGZm4smTJ2p9JCLtxGSFSCadO3fG2rVrYWBgAAcHhyITaAv/GBfKz8+Hvb09Tp48WaStl12+a2xsXOpj8vPzARQMBbm6uqrtq1KlCoDy+Y6mW7duoXfv3nj//ffx6aefwsrKCqdPn4afn5/acBlQsPT4WYXb8vPzsWDBArz99ttFYoyMjMrcTyKqeExWiGRiamqK+vXrlzi+devWSEhIgL6+PurUqVNsTOPGjREREYF3331X2hYREfHcNhs0aABjY2McO3YMo0aNKrLf0NAQQEElopCtrS1q1KiBGzduYPjw4cW226RJE2zduhUZGRlSQqSpH8U5d+4ccnNz8b///Q96egXT67755psicbm5uTh37hzat28PAIiNjcXDhw/RqFEjAAWvW2xsbKleayLSLkxWiP4junbtCjc3NwwYMADBwcFwdnbG3bt3cfDgQQwYMABt27bFpEmT4OPjg7Zt2+K1117D9u3bceXKFdStW7fYNo2MjDBjxgxMnz4dhoaG6NixI5KSknDlyhX4+fnBxsYGxsbGCAsLQ82aNWFkZASVSoX58+dj4sSJsLCwQK9evZCVlYVz584hJSUFkydPhpeXF2bPng0/Pz98/PHHiIuLw+LFi0t1vfXq1UNubi5WrlyJvn374tdff8W6deuKxBkYGGDChAlYsWIFDAwM8MEHH6BDhw5S8jJ37lx4enrC0dER77zzDvT09HDx4kVcunQJCxcuLP0PgoheOa4GIvqPUCgUOHjwIN544w2MHDkSDRs2xNChQxEXFyet3hkyZAjmzp2LGTNmoE2bNrh16xbGjh2rsd05c+ZgypQpmDt3Lho3bowhQ4YgMTERQMF8kBUrVmD9+vVwcHBA//79AQCjRo3Cl19+iZCQELi4uMDDwwMhISHSUmczMzPs378fV69eRatWrTB79mwEBweX6npbtmyJJUuWIDg4GM2aNcP27dsRFBRUJM7ExAQzZsyAl5cX3NzcYGxsjF27dkn7e/TogQMHDuDIkSNo164dOnTogCVLlqB27dql6g8RyUchymNwmYiIiKiCsLJCREREWo3JChEREWk1JitERESk1ZisEBERkVZjskJERERajckKERERaTUmK0RERKTVmKwQERGRVmOyQkRERFqNyQoRERFpNSYrREREpNWYrBAREZFW+z8wpwNN2kKjqgAAAABJRU5ErkJggg==",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Confusion Matrix for Gradient Boosting\n",
"cm_gb = confusion_matrix(y_train_resampled, y_train_pred_gb_cv)\n",
"disp_gb = ConfusionMatrixDisplay(confusion_matrix=cm_gb, display_labels=['Stayed', 'Left'])\n",
"disp_gb.plot(cmap=plt.cm.Reds)\n",
"plt.title('Confusion Matrix - Gradient Boosting')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "c5d40fae"
},
"source": [
"### Inferences from Confusion Matrices:\n",
"\n",
"* **Logistic Regression:**\n",
" * Shows a good balance between correctly identifying employees who stayed (True Negatives) and those who left (True Positives), but with a notable number of False Positives and False Negatives, indicating it's not as precise as the ensemble methods.\n",
"\n",
"* **Random Forest:**\n",
" * Demonstrates significantly fewer False Positives and False Negatives compared to Logistic Regression. It has a high number of True Positives and True Negatives, confirming its strong performance in correctly classifying both groups.\n",
"\n",
"* **Gradient Boosting:**\n",
" * Similar to Random Forest, Gradient Boosting also shows excellent performance with very few misclassifications. It accurately identifies a large proportion of both employees who stayed and those who left.\n",
"\n",
"**Conclusion:** The confusion matrices visually reinforce the findings from the classification reports and ROC curves. Both Random Forest and Gradient Boosting models excel at distinguishing between employees who stay and those who leave, with very high rates of correct classifications across both categories. This further solidifies their status as superior models for this prediction task compared to Logistic Regression."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 6.3 Explain which metric needs to be used from the confusion matrix: Recall or Precision?"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 321
},
"id": "d1f7ef5e",
"outputId": "657c4e6e-d0e6-411b-d5bb-3e29737b3cd6"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"# Extract data from reports\n",
"data = []\n",
"\n",
"# Logistic Regression\n",
"data.append({'Model': 'Logistic Regression', 'Metric': 'Precision', 'Class': '0 (Stayed)', 'Score': report['0']['precision']})\n",
"data.append({'Model': 'Logistic Regression', 'Metric': 'Recall', 'Class': '0 (Stayed)', 'Score': report['0']['recall']})\n",
"data.append({'Model': 'Logistic Regression', 'Metric': 'Precision', 'Class': '1 (Left)', 'Score': report['1']['precision']})\n",
"data.append({'Model': 'Logistic Regression', 'Metric': 'Recall', 'Class': '1 (Left)', 'Score': report['1']['recall']})\n",
"\n",
"# Random Forest\n",
"data.append({'Model': 'Random Forest', 'Metric': 'Precision', 'Class': '0 (Stayed)', 'Score': report_rf['0']['precision']})\n",
"data.append({'Model': 'Random Forest', 'Metric': 'Recall', 'Class': '0 (Stayed)', 'Score': report_rf['0']['recall']})\n",
"data.append({'Model': 'Random Forest', 'Metric': 'Precision', 'Class': '1 (Left)', 'Score': report_rf['1']['precision']})\n",
"data.append({'Model': 'Random Forest', 'Metric': 'Recall', 'Class': '1 (Left)', 'Score': report_rf['1']['recall']})\n",
"\n",
"# Gradient Boosting\n",
"data.append({'Model': 'Gradient Boosting', 'Metric': 'Precision', 'Class': '0 (Stayed)', 'Score': report_gb['0']['precision']})\n",
"data.append({'Model': 'Gradient Boosting', 'Metric': 'Recall', 'Class': '0 (Stayed)', 'Score': report_gb['0']['recall']})\n",
"data.append({'Model': 'Gradient Boosting', 'Metric': 'Precision', 'Class': '1 (Left)', 'Score': report_gb['1']['precision']})\n",
"data.append({'Model': 'Gradient Boosting', 'Metric': 'Recall', 'Class': '1 (Left)', 'Score': report_gb['1']['recall']})\n",
"\n",
"df_metrics = pd.DataFrame(data)\n",
"\n",
"# Create the plot using sns.catplot for faceting\n",
"g = sns.catplot(x='Model', y='Score', hue='Class', col='Metric', data=df_metrics, kind='bar', palette='viridis', col_wrap=2, height=6, aspect=1.2)\n",
"g.set_axis_labels(\"\", \"Score\")\n",
"g.set_titles(\"{col_name}\")\n",
"g.set_xticklabels(rotation=45)\n",
"g.fig.suptitle('Precision and Recall Comparison Across Models (by Class)', y=1.03, fontsize=16)\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "057e2299"
},
"source": [
"### Inferences from Precision and Recall Comparison Visualization:\n",
"\n",
"The generated bar plots support the earlier quantitative analysis while also revealing an important insight about model behavior:\n",
"\n",
" - Logistic Regression shows the lowest precision and recall across both classes, making it a useful baseline but limited in capturing complex patterns in the data.\n",
"\n",
" - Random Forest achieves the highest precision and recall scores for both the 'Stayed' (Class 0) and 'Left' (Class 1) categories. However, these exceptionally high scores may indicate overfitting, meaning the model is likely capturing noise and performing overly well on the training data but may not generalize as effectively to unseen data.\n",
"\n",
" - Gradient Boosting, on the other hand, delivers consistently strong performance with precision and recall values close to those of Random Forest. While slightly lower, its results are more balanced and reliable, suggesting better generalization.\n",
"\n",
"\n",
"**Overall**, although Random Forest shows the highest raw metrics, Gradient Boosting is selected as the best model because it provides a strong trade-off between performance and generalization, reducing the risk of overfitting while still maintaining high predictive accuracy for both classes."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 7., Suggest various retention strategies for targeted employees."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 7.1., Using the best model, predict the probability of employee turnover in the test data."
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 401
},
"id": "010e9d52",
"outputId": "1d8dfd3a-c88e-4df6-a711-e60283435562"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Employees with Highest Predicted Turnover Probabilities:\n"
]
},
{
"data": {
"text/html": [
"
"
],
"text/plain": [
" satisfaction_level last_evaluation number_project \\\n",
"9991 0.700000 0.470000 2 \n",
"17470 0.234845 0.711603 5 \n",
"15917 0.352990 0.655711 3 \n",
"\n",
" average_montly_hours time_spend_company Work_accident \\\n",
"9991 176 5 0 \n",
"17470 271 4 0 \n",
"15917 141 2 0 \n",
"\n",
" promotion_last_5years salary sales_IT sales_RandD ... sales_hr \\\n",
"9991 0 0 0 0 ... 0 \n",
"17470 0 1 0 0 ... 0 \n",
"15917 0 0 0 0 ... 0 \n",
"\n",
" sales_management sales_marketing sales_product_mng sales_sales \\\n",
"9991 0 0 1 0 \n",
"17470 0 0 0 1 \n",
"15917 0 0 0 1 \n",
"\n",
" sales_support sales_technical actual_left \\\n",
"9991 0 0 0 \n",
"17470 0 0 1 \n",
"15917 0 0 1 \n",
"\n",
" predicted_turnover_probability turnover_zone \n",
"9991 0.286417 Low-Risk Zone (Yellow) \n",
"17470 0.435671 Low-Risk Zone (Yellow) \n",
"15917 0.332501 Low-Risk Zone (Yellow) \n",
"\n",
"[3 rows x 21 columns]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Categorize employees into zones based on predicted turnover probability\n",
"def categorize_zone(score):\n",
" if score < 0.20:\n",
" return 'Safe Zone (Green)'\n",
" elif 0.20 <= score < 0.60:\n",
" return 'Low-Risk Zone (Yellow)'\n",
" elif 0.60 <= score < 0.80:\n",
" return 'Medium-Risk Zone (Orange)'\n",
" else:\n",
" return 'High-Risk Zone (Red)'\n",
"\n",
"turnover_predictions_df['turnover_zone'] = turnover_predictions_df['predicted_turnover_probability'].apply(categorize_zone)\n",
"\n",
"# Display the count of employees in each zone\n",
"print(\"Employee Turnover Zones:\")\n",
"display(turnover_predictions_df['turnover_zone'].value_counts())\n",
"\n",
"# Display some employees from each zone\n",
"print(\"\\nSample Employees from each Turnover Zone:\")\n",
"for zone in turnover_predictions_df['turnover_zone'].unique():\n",
" print(f\"\\n--- {zone} ---\")\n",
" display(turnover_predictions_df[turnover_predictions_df['turnover_zone'] == zone].head(3))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "f738eaf1"
},
"source": [
"### Retention Strategies by Turnover Zone:\n",
"\n",
"By categorizing employees into different zones based on their predicted turnover probability, we can implement more targeted and effective retention strategies:\n",
"\n",
"1. **Safe Zone (Green) - Predicted Turnover Probability < 20%:**\n",
" * **Description:** These employees are highly likely to stay. They generally have high satisfaction, good performance, and feel engaged.\n",
" * **Strategy:** Maintain engagement and reinforce positive aspects. Focus on regular check-ins, recognizing achievements, providing opportunities for growth (even if they're already satisfied), and ensuring they remain advocates for the company culture. These employees can also serve as mentors for newer staff.\n",
" * **Actions:** Continue with standard HR practices, leadership development programs, and opportunities for internal mobility.\n",
"\n",
"2. **Low-Risk Zone (Yellow) - Predicted Turnover Probability 20% - 60%:**\n",
" * **Description:** These employees have some indicators that *could* lead to turnover but are not immediately at high risk. They might be passively looking or could be swayed by minor external factors.\n",
" * **Strategy:** Proactive engagement and identification of potential friction points. Implement early intervention strategies to address any emerging concerns before they escalate. Focus on career development and ensuring a clear path forward.\n",
" * **Actions:** Conduct \"stay interviews\" to understand what keeps them engaged, offer mentorship, provide skill development opportunities, clarify career progression paths, and regularly review compensation and benefits to ensure competitiveness.\n",
"\n",
"3. **Medium-Risk Zone (Orange) - Predicted Turnover Probability 60% - 80%:**\n",
" * **Description:** Employees in this zone show significant indicators of potential turnover. They are likely actively disengaged or exploring other options. Urgent and direct intervention is required.\n",
" * **Strategy:** Aggressive retention efforts focused on understanding their specific grievances and offering tailored solutions. This group might include those performing well but with low satisfaction (Cluster 0) or those feeling stagnant.\n",
" * **Actions:** Direct manager intervention, personalized career coaching, review of workload and responsibilities, potential reassignment to new projects, addressing specific concerns about work environment or management, and consideration of salary adjustments or promotion opportunities where appropriate. Emphasize their value to the company.\n",
"\n",
"4. **High-Risk Zone (Red) - Predicted Turnover Probability > 80%:**\n",
" * **Description:** These employees are highly likely to leave, and some may have already made up their minds. This group often includes those with very low satisfaction and/or poor performance (Cluster 2).\n",
" * **Strategy:** While retention efforts can still be made, it might also be pragmatic to focus on knowledge transfer and smooth transitions if departure is inevitable. For those who are still undecided, a last-ditch effort might involve significant changes (e.g., new role, significant pay raise, extensive support).\n",
" * **Actions:** Immediate and direct conversation with HR and management to understand their intentions. Offer substantial incentives or changes if appropriate and feasible. If departure is certain, focus on minimizing disruption, ensuring a positive exit experience, and conducting thorough exit interviews to gather critical feedback for future prevention."
]
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