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visit-with-us-wellness-tourism-model
obviouslyme/visit-with-us-wellness-tourism-model
visit-with-us-wellness-tourism-model is a machine learning model from obviouslyme. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a Random Forest classifier trained to predict whether a customer will purchase the Wellness Tourism Package offered by Visit with Us.
Access
Public
Updated Dec 7, 2025
Repo size
31.7 MB
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Repo makeup
Click a slice to open those files.
.joblib15.7 MB · 100%
At a glance
- Access
- Public
- Created
- Dec 4, 2025
- Updated
- Dec 7, 2025
- SHA
- 333a60ed
Model card
From the Hugging Face model README
Wellness Tourism Package Purchase Prediction Model
This model is a Random Forest classifier trained to predict whether a customer will purchase the Wellness Tourism Package offered by Visit with Us.
Data
- Source: Hugging Face dataset
obviouslyme/visit-with-us-wellness-tourism-dataset - Target:
ProdTaken(0 = No, 1 = Yes)
Model
- Algorithm:
RandomForestClassifierfrom scikit-learn - Preprocessing: numeric imputation + scaling, categorical imputation + one-hot encoding
- Entire preprocessing + model pipeline is saved as
best_model_pipeline.joblib.
Training & Evaluation
Training and evaluation were performed in a single MLOps notebook, with experiment tracking
logged to artifacts/experiments.csv.
Key metrics on the held-out test set (see notebook for exact values):
- Accuracy
- F1-score
- Precision
- Recall
- ROC-AUC
- Created
- Dec 4, 2025
- Updated
- Dec 7, 2025