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tourism-wellness-model
anuragmishrarock/tourism-wellness-model
tourism-wellness-model is a tabular classification model from anuragmishrarock. Use it for the tabular classification task on the model card, and read the license before you ship it in a product. It is set up for sklearn.
Best Model: Gradient Boosting ROC-AUC: 0.9534 Accuracy: 0.9334 F1-Score: 0.8110
Access
Public
Updated May 29, 2026
Repo size
919 KB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pkl458 KB · 99%
At a glance
- Task
- Tabular Classification
- Library
- sklearn
- Access
- Public
- Created
- May 22, 2026
- Updated
- May 29, 2026
- SHA
- 0072d95d
Model card
From the Hugging Face model README
Tourism Wellness Package Purchase Prediction
Best Model: Gradient Boosting
ROC-AUC: 0.9534
Accuracy: 0.9334
F1-Score: 0.8110
Training Data
- Dataset: anuragmishrarock/tourism-wellness-dataset
- Train samples: 3302 | Test samples: 826
Models Evaluated
Decision Tree, Random Forest, AdaBoost, Gradient Boosting, XGBoost
Usage
import pickle, json
from huggingface_hub import hf_hub_download
model = pickle.load(open(hf_hub_download('anuragmishrarock/tourism-wellness-model', 'model.pkl'), 'rb'))
features = json.load(open(hf_hub_download('anuragmishrarock/tourism-wellness-model', 'feature_names.json')))
- Task
- Tabular Classification
- Library
- sklearn
- Languages
- en
- Created
- May 22, 2026
- Updated
- May 29, 2026