Tabular Classification
Scikit-learn
Joblib
lightgbm
random-forest
shap
cardiovascular
tabular
sulianova
Eval Results (legacy)
Instructions to use kiselyovd/cardio-risk-rf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use kiselyovd/cardio-risk-rf with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("kiselyovd/cardio-risk-rf", "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
- Xet hash:
- c9a91be27ac071cf03236a5809bfcd49a8ff8a815d9e05d2ce08471698570e4b
- Size of remote file:
- 365 kB
- SHA256:
- d0b96ed0fb1209be8ed73ebb41d41225d6d106c2f291a285c6c9fc8950a2ad39
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