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Imbalanced Binary Classification - A survey with code
Introduction
Loss functions
Classification metrics
The lift curve
The KS score and Youden’s J
Precision, recall, and
\(F\)
-scores
Choosing a baseline model
Feature selection via the Boruta algorithm
Probability calibration
Model interpretability: how is it affected by imbalance?
Index
