Instructions to use prashant91/wellness-tourism-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use prashant91/wellness-tourism-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("prashant91/wellness-tourism-model", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Wellness Tourism Package Prediction Model
Model Details
- Algorithm: DecisionTree
- Task: Binary Classification
- Framework: scikit-learn
Performance Metrics
- Accuracy: 0.9315
- Precision: 0.8378
- Recall: 0.8000
- F1 Score: 0.8185
Usage
import joblib
from huggingface_hub import hf_hub_download
model_path = hf_hub_download(
repo_id="prashant91/wellness-tourism-model",
filename="best_model.joblib"
)
model = joblib.load(model_path)
predictions = model.predict(X_test)
Inference Providers NEW
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