Open access
Sep 2026
Reproducible and Explainable Machine Learning for Breast Cancer Classification: Sensitivity-Oriented Thresholding and Independent Methodological Replication
Background: WDBC is a small historical benchmark, and near-ceiling performance alone provides limited evidence of transportability. Methods: We evaluated five model families for discrimination, calibration, and paired statistical testing. We utilized sensitivity-oriented out-of-fold (OOF) thresholds and decision curve...
Younes Nadir, M. Rachdi, Abdellah Bakhouyi et al.
· Applied Sciences · 0 citations