Consensus Clustering-Based Undersampling Approach to Imbalanced Learning

Table 4

Average AUC values of heterogeneous clustering schemes with C4.5 classifier.

Consensus function	IV	SV	LCS
Method	CONS2	CONS2	CONS2
Abalone19	0.766	0.767	0.782
Abalone9-18	0.812	0.812	0.812
Breast cancer	0.945	0.946	0.954
Ecoli-0_vs_1	0.990	0.990	1.000
Ecoli-0-1-3-7_vs_2-6	0.789	0.789	0.797
Ecoli1	0.970	0.980	0.980
Ecoli2	0.920	0.920	0.940
Ecoli3	0.960	0.960	0.980
Ecoli4	0.900	0.880	0.890
Glass0	0.824	0.824	0.826
Glass0123vs456	0.960	0.960	0.980
Glass016vs2	0.790	0.791	0.791
Glass016vs5	0.970	0.980	0.990
Glass1	0.765	0.765	0.782
Glass2	0.842	0.842	0.842
Glass4	0.820	0.800	0.800
Glass5	0.970	0.980	1.000
Glass6	0.870	0.860	0.850
Haberman	0.760	0.762	0.772
Iris0	0.990	1.000	1.000
New-thyroid1	0.970	0.980	0.990
New-thyroid2	0.970	0.980	0.990
Page-blocks0	0.980	0.990	1.000
Page-blocks13vs2	0.990	1.000	1.000
Pima	0.793	0.793	0.793
Segmemt0	0.990	0.990	1.000
Shuttle0vs4	1.000	1.000	1.000
Shuttle2vs4	0.990	1.000	1.000
Vehicle0	0.970	0.980	0.990
Vehicle1	0.767	0.767	0.768
Vehicle2	0.980	0.990	1.000
Vehicle3	0.803	0.804	0.806
Vowel0	0.970	0.980	0.980
Wisconsin	0.970	0.980	0.990
Yeast05679vs4	0.843	0.843	0.843
Yeast1	0.813	0.813	0.815
Yeast1289vs7	0.770	0.770	0.782
Yeast1458vs7	0.762	0.763	0.781
Yeast1vs7	0.787	0.788	0.812
Yeast2vs4	0.950	0.940	0.940
Yeast2vs8	0.851	0.851	0.851
Yeast3	0.970	0.980	0.990
Yeast4	0.880	0.860	0.890
Yeast5	0.980	0.990	1.000
Yeast6	0.820	0.800	0.810
Protein homology prediction	0.970	0.980	0.993
Twitter-sentiment	0.988	0.994	1.000
Average	0.897	0.898	0.906