README.md

# 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