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:
- a6d57fc18cc05b1069ec86493f96ad6fe9f7900e51d5e22835fbd5a7f19f7f65
- Size of remote file:
- 6.25 MB
- SHA256:
- eff065c65821d55059ac269c9dad644b34da5456f364020ccd13f22e15a9bb9b
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