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samuelalex37
/
olist-delivery-risk-model

Tabular Classification
Scikit-learn
Joblib
scikit-learn
calibrated-classifier
e-commerce
logistics
Model card Files Files and versions
xet
Community

Instructions to use samuelalex37/olist-delivery-risk-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use samuelalex37/olist-delivery-risk-model with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("samuelalex37/olist-delivery-risk-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
olist-delivery-risk-model
1.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
samuelalex37's picture
samuelalex37
Model card for Gradient Boosting, ROC-AUC 0.8101
c53ca20 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    3.74 kB
    Model card for Gradient Boosting, ROC-AUC 0.8101 about 1 month ago
  • model.joblib

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    1.19 MB
    xet
    Gradient Boosting calibrated, ROC-AUC 0.8101, threshold 0.155 about 1 month ago
  • model_metadata.json
    2.08 kB
    Gradient Boosting calibrated, ROC-AUC 0.8101, threshold 0.155 about 1 month ago