Fig. 5
From: Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data
The performance of five methods on DLBCL with SMOTE over-resampling. The five subgraphs report TPR, G−mean, F−measure, AUCROC and precision, respectively