| # tourism product adoption prediction model | |
| this model predicts whether a customer will purchase a tourism package | |
| ## best parameters | |
| { | |
| "max_depth": null, | |
| "min_samples_split": 2, | |
| "n_estimators": 200 | |
| } | |
| ## performance | |
| cv accuracy: 0.9037 | |
| test accuracy: 0.9286 | |
| ## classification report | |
| precision recall f1-score support | |
| 0 0.92 0.99 0.96 661 | |
| 1 0.96 0.67 0.79 165 | |
| accuracy 0.93 826 | |
| macro avg 0.94 0.83 0.87 826 | |
| weighted avg 0.93 0.93 0.92 826 | |