Tourism Purchase Prediction — Random Forest
Trained on the Wellness Tourism Package dataset to predict ProdTaken (binary).
Metrics (test set)
- Accuracy : 0.9328
- Precision: 0.9040
- Recall : 0.7290
- F1 : 0.8071
- ROC-AUC : 0.9724
Hyper-parameters
{'n_estimators': 400, 'min_samples_split': 5, 'min_samples_leaf': 1, 'max_features': 'sqrt', 'max_depth': None, 'bootstrap': False}
Usage
import joblib, gzip
with gzip.open('best_model.pkl.gz', 'rb') as f:
model = joblib.load(f)
prediction = model.predict(X_new)
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