Fig. 18
From: Graph clustering-based discretization of splitting and merging methods (GraphS and GraphM)
Ranking of AUC for imbalanced datasets. Average AUC ranking with different classifiers of: a C4.5, b KNN, c NB, d SVM, and e all classifiers, obtain from the non-parametric Friedman test and the critical difference (CD) of the Nemenyi post hoc test. Note that, the ranking in a–d are tested with 100 samples (20 imbalanced datasets and fivefolds), while the ranking in e is tested with 400 samples (20 imbalanced datasets of 4 classifiers and fivefolds)