multilabel

Multiclass and Multilabel Metrics: Micro, Macro, Weighted, and the Difference That Matters

How precision/recall/F1 scale past two classes — one-vs-rest, and the micro/macro/weighted averaging that decides whether rare classes count. Plus multilabel-specific metrics: subset accuracy, Hamming loss, and top-k — all on one running shelter-camera example, with scikit-learn.