Evolutionary Multilabel Feature Selection Using Promising Feature Subset Generation

Table 6

Summary of the Friedman statistics (, ) and critical value in terms of each evaluation measure.

Evaluation measure		Critical value ()
Multilabel accuracy	30.333	2.845
Hamming loss	65.642
Ranking loss	75.472
Normalized coverage	16.355