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tourism-package-prediction-model
Muleex12/tourism-package-prediction-model
tourism-package-prediction-model is a machine learning model from Muleex12. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for scikit-learn.
This repository contains the best tuned Random Forest model developed for the Tourism Package Prediction MLOps project.
Access
Public
Updated Sep 17, 2026
Repo size
25.1 MB
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Repo makeup
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.pkl6.3 MB · 100%
At a glance
- Library
- scikit-learn
- Access
- Public
- Created
- Sep 14, 2026
- Updated
- Sep 17, 2026
- SHA
- 3e018072
Model card
From the Hugging Face model README
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 modelpreprocessor.pkl- preprocessing pipeline used before prediction
Target Variable
ProdTaken
The model predicts whether a customer will purchase a tourism package.
- Library
- scikit-learn
- Created
- Sep 14, 2026
- Updated
- Sep 17, 2026