Summary
Binary classifiers are models that sort input data into one of two buckets, usually positive or negative. Evaluation metrics include AUROC, PR curve, confusion matrices, and others.
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Ref (1)
1.
Richardson E, Trevizani R, Greenbaum JA, Carter H, Nielsen M, Peters B. The receiver operating characteristic curve accurately assesses imbalanced datasets. Patterns. 2024;5(6):100994. Available from: https://doi.org/10.1016/j.patter.2024.100994