Evolutionary Multilabel Feature Selection Using Promising Feature Subset Generation

Figure 2

Bonferroni-Dunn test results of four comparison methods with four evaluation measures (significance level ).

(a) Multilabel accuracy

(b) Hamming loss

(c) Ranking loss

(d) Normalized coverage