> ML_DATASET // BREAST-CANCER-WISCONSIN-DIAGNOSTIC_v1.0
Breast Cancer Wisconsin (Diagnostic)
UCI ML Repository / Wolberg, Street & Mangasarian · Oncology & Medical Diagnostics · 569 biopsy samples, 30 continuous nuclear morphometric features
Oncology & Medical DiagnosticsCC-BY-4.0569 biopsy samples, 30 continuous nuclear morphometric featuresopen
Dataset Profile & Characteristics
Label Type:Binary (Malignant vs Benign)
Languages:en
License Tier:permissive-open-source
Modalities:tabular
Intended Use
- Medical diagnostics binary classification benchmarking
- Feature selection and regularized logistic regression validation
Prohibited / Discouraged Use
- Autonomous clinical breast cancer diagnosis without certified pathology oversight
Bias, Leakage & Privacy Risk Analysis
Privacy / Sensitive Data Risks:
Anonymized fine needle aspirate (FNA) cell nuclei measurements; zero patient PII.
Known Bias:
Collected from single clinical center (Univ. of Wisconsin Hospitals) in 1995.
Known Benchmark Leakage:
Radius, perimeter, and area are algebraically coupled.