Fig. 5From: Improved cost-sensitive representation of data for solving the imbalanced big data classification problemThe performance of the proposed cost sensitive method, S-MVML-LA [15], GMEB [10] and IGIS [20] versus the changes in percentage of selected features numbers on the kddcup_land_vs_satan dataset. a Accuracy, b f-scoreBack to article page