Instructions to use Deep6763/breast-cancer-rf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Deep6763/breast-cancer-rf with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Deep6763/breast-cancer-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
| ["mean radius", "mean texture", "mean perimeter", "mean area", "mean smoothness", "mean compactness", "mean concavity", "mean concave points", "mean symmetry", "mean fractal dimension", "radius error", "texture error", "perimeter error", "area error", "smoothness error", "compactness error", "concavity error", "concave points error", "symmetry error", "fractal dimension error", "worst radius", "worst texture", "worst perimeter", "worst area", "worst smoothness", "worst compactness", "worst concavity", "worst concave points", "worst symmetry", "worst fractal dimension"] |