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breast-cancer-rf
IlamathiV/breast-cancer-rf
breast-cancer-rf is a machine learning model from IlamathiV. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for sklearn.
Trained automatically via GitHub Actions CI/CD. Deployed only when the evaluation accuracy meets the quality gate defined in params.yaml.
Access
Public
Updated Aug 8, 2026
Repo size
600 KB
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0
Public
Repo makeup
Click a slice to open those files.
.pkl600 KB · 100%
At a glance
- Library
- sklearn
- Access
- Public
- Created
- Aug 8, 2026
- Updated
- Aug 8, 2026
- SHA
- 224d8a23
Model card
From the Hugging Face model README
Breast Cancer Classifier (RandomForest)
Trained automatically via GitHub Actions CI/CD. Deployed only when the
evaluation accuracy meets the quality gate defined in params.yaml.
Metrics
| Metric | Value |
|---|---|
| Accuracy | 0.9474 |
| Precision | 0.9583 |
| Recall | 0.9583 |
| F1 | 0.9583 |
| ROC-AUC | 0.9940 |
Usage
import joblib
from huggingface_hub import hf_hub_download
path = hf_hub_download(repo_id="IlamathiV/breast-cancer-rf", filename="model.pkl")
model = joblib.load(path)
predictions = model.predict(X)
- Library
- sklearn
- Created
- Aug 8, 2026
- Updated
- Aug 8, 2026