Breast Mass Biopsy Records with 32 Nuclear Features

569 breast mass biopsy records to classify malignant or benign tumors. The data includes 32 nuclear features derived from cell nuclei measurements. The original author, organization, and collection time range are unknown.

Use Cases

• Train a binary classifier to predict malignancy based on nuclear features.
• Benchmark feature selection methods using the 32 provided nuclear measurements.
• Develop educational models for demonstrating medical diagnostic AI.

Strengths

• Contains 569 individual biopsy records.
• Provides 32 distinct nuclear features per record for model training.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic or temporal bias inherent to Kaggle.

Provenance

Collection Method

Likely collected from digitized images of fine needle aspirate (FNA) of breast masses.