Muleex12/tourism-package-prediction-model

Tourism Package Prediction Model

This repository contains the best tuned Random Forest model developed for the Tourism Package Prediction MLOps project.

Model

Algorithm: Random Forest Classifier

Best Parameters

• n_estimators: 100
• max_depth: None
• min_samples_split: 2
• min_samples_leaf: 2
• class_weight: balanced
• random_state: 42

Test Performance

• Accuracy: 0.904
• Precision: 0.861
• Recall: 0.600
• F1 Score: 0.707

Files

• final_random_forest_model.pkl - trained Random Forest model
• preprocessor.pkl - preprocessing pipeline used before prediction

Target Variable

ProdTaken

The model predicts whether a customer will purchase a tourism package.