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README.md

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+# 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
+