Dm Class Imbalance Metrics — Free Data Mining Tutorial
Learn Dm Class Imbalance Metrics in Data Mining with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Dm Class Imbalance Metrics in Data Mining with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
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Dm Class Imbalance Metrics in Data Mining
Precision: TP/(TP+FP) - false positive cost. Recall: TP/(TP+FN) - false negative cost.
F1-Score: harmonic mean balances both. PR-AUC better than ROC-AUC for imbalanced.
Choose metric based on business impact of errors.
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