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Tourism Package Prediction - XGBoost Model
This model predicts whether a customer will purchase a wellness tourism package.
Model Details
- Algorithm: XGBoost
- Task: Binary Classification
- Training Date: 2026-01-25
Performance Metrics
- Test Accuracy: 0.8608
- Test F1-Score: 0.6547
- Test ROC-AUC: 0.8915
Usage
import joblib
import pandas as pd
# Load the model
model = joblib.load('xgboost_tourism_model.joblib')
# Make predictions
predictions = model.predict(X_new)
predictions_proba = model.predict_proba(X_new)
Requirements
- scikit-learn>=1.0.0
- pandas>=1.3.0
- numpy>=1.21.0
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