Consensus Clustering-Based Undersampling Approach to Imbalanced Learning

Table 2

Average AUC values of state-of-the-art methods with C4.5 classifier.

	C4.5	UB4	UB24	Rus1	SBAG4	UB1	Centers	Centers_NN	KM	KM++	KMOD	SOM	DIANA
Abalone19	0.500	0.721	0.680	0.631	0.572	0.695	0.639	0.648	0.743	0.744	0.744	0.745	0.745
Abalone9-18	0.598	0.719	0.710	0.693	0.745	0.710	0.699	0.704	0.769	0.769	0.769	0.769	0.770
Breast cancer	0.867	0.927	0.929	0.929	0.925	0.922	0.889	0.914	0.839	0.847	0.854	0.845	0.857
Ecoli-0_vs_1	0.983	0.980	0.980	0.969	0.983	0.969	0.983	0.983	0.920	0.910	0.950	0.880	0.920
Ecoli-0-1-3-7_vs_2-6	0.748	0.745	0.781	0.794	0.828	0.726	0.715	0.726	0.774	0.774	0.775	0.775	0.775
Ecoli1	0.859	0.900	0.902	0.883	0.900	0.898	0.895	0.923	0.810	0.820	0.820	0.830	0.0.840
Ecoli2	0.864	0.884	0.881	0.899	0.888	0.870	0.864	0.878	0.800	0.810	0.820	0.820	0.830
Ecoli3	0.728	0.908	0.894	0.856	0.885	0.882	0.847	0.900	0.800	0.810	0.820	0.820	0.830
Ecoli4	0.844	0.888	0.899	0.942	0.933	0.891	0.905	0.862	0.800	0.810	0.810	0.820	0.820
Glass0	0.817	0.814	0.824	0.813	0.839	0.818	0.772	0.744	0.780	0.780	0.780	0.780	0.780
Glass0123vs456	0.916	0.904	0.917	0.930	0.946	0.894	0.914	0.902	0.810	0.810	0.820	0.830	0.840
Glass016vs2	0.594	0.754	0.625	0.617	0.559	0.636	0.645	0.708	0.773	0.773	0.773	0.773	0.774
Glass016vs5	0.894	0.943	0.943	0.989	0.866	0.943	0.943	0.943	0.810	0.820	0.830	0.840	0.850
Glass1	0.740	0.737	0.752	0.763	0.728	0.748	0.713	0.647	0.734	0.737	0.739	0.739	0.739
Glass2	0.719	0.769	0.706	0.780	0.779	0.758	0.658	0.756	0.783	0.783	0.783	0.783	0.783
Glass4	0.754	0.846	0.871	0.915	0.874	0.853	0.651	0.803	0.800	0.800	0.800	0.800	0.810
Glass5	0.898	0.949	0.949	0.943	0.878	0.949	0.888	0.949	0.820	0.830	0.840	0.840	0.850
Glass6	0.813	0.904	0.926	0.918	0.931	0.885	0.858	0.847	0.800	0.800	0.810	0.810	0.820
Haberman	0.576	0.664	0.668	0.655	0.656	0.658	0.620	0.595	0.715	0.715	0.716	0.717	0.718
Iris0	0.990	0.990	0.980	0.990	0.980	0.990	0.990	0.990	0.940	0.950	0.960	0.890	0.940
New-thyroid1	0.914	0.964	0.969	0.958	0.975	0.955	0.938	0.947	0.820	0.830	0.830	0.840	0.850
New-thyroid2	0.937	0.958	0.938	0.938	0.961	0.947	0.938	0.924	0.810	0.820	0.820	0.830	0.840
Page-blocks0	0.922	0.958	0.959	0.948	0.953	0.952	0.934	0.958	0.820	0.850	0.850	0.850	0.860
Page-blocks13vs2	0.998	0.978	0.975	0.987	0.988	0.975	0.911	0.992	0.980	0.980	0.980	0.930	0.950
Pima	0.701	0.760	0.753	0.726	0.751	0.758	0.753	0.727	0.776	0.776	0.776	0.776	0.777
Segmemt0	0.983	0.988	0.986	0.993	0.994	0.985	0.981	0.980	0.890	0.890	0.910	0.870	0.900
Shuttle0vs4	0.997	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.990	0.980	0.950
Shuttle2vs4	0.950	1.000	1.000	1.000	1.000	0.988	1.000	0.988	0.920	0.940	0.950	0.880	0.930
Vehicle0	0.930	0.952	0.954	0.958	0.965	0.945	0.942	0.948	0.820	0.830	0.840	0.840	0.850
Vehicle1	0.672	0.787	0.761	0.747	0.769	0.765	0.722	0.703	0.767	0.768	0.768	0.768	0.768
Vehicle2	0.956	0.964	0.964	0.970	0.966	0.957	0.942	0.956	0.820	0.840	0.840	0.850	0.860
Vehicle3	0.664	0.802	0.784	0.765	0.763	0.764	0.757	0.731	0.778	0.778	0.778	0.778	0.778
Vowel0	0.971	0.947	0.947	0.943	0.988	0.944	0.941	0.910	0.810	0.820	0.820	0.830	0.840
Wisconsin	0.945	0.960	0.971	0.964	0.960	0.957	0.945	0.945	0.820	0.820	0.830	0.840	0.850
Yeast05679vs4	0.680	0.794	0.814	0.803	0.818	0.782	0.756	0.769	0.826	0.826	0.826	0.826	0.826
Yeast1	0.664	0.722	0.721	0.719	0.734	0.716	0.741	0.738	0.779	0.779	0.779	0.779	0.779
Yeast1289vs7	0.616	0.734	0.689	0.721	0.658	0.675	0.632	0.700	0.754	0.755	0.755	0.755	0.755
Yeast1458vs7	0.500	0.606	0.617	0.567	0.623	0.563	0.559	0.603	0.727	0.727	0.728	0.728	0.730
Yeast1vs7	0.628	0.786	0.773	0.715	0.697	0.747	0.660	0.704	0.770	0.770	0.770	0.771	0.771
Yeast2vs4	0.831	0.936	0.929	0.933	0.897	0.940	0.914	0.882	0.800	0.810	0.820	0.820	0.830
Yeast2vs8	0.525	0.783	0.747	0.789	0.784	0.761	0.629	0.778	0.826	0.826	0.827	0.827	0.827
Yeast3	0.860	0.934	0.944	0.925	0.944	0.940	0.901	0.926	0.810	0.820	0.830	0.840	0.840
Yeast4	0.614	0.855	0.854	0.812	0.773	0.860	0.722	0.857	0.800	0.810	0.810	0.810	0.820
Yeast5	0.883	0.952	0.956	0.959	0.962	0.964	0.954	0.960	0.840	0.870	0.910	0.860	0.870
Yeast6	0.712	0.869	0.878	0.823	0.836	0.864	0.691	0.818	0.800	0.800	0.810	0.810	0.820
Protein homology prediction	0.922	0.956	0.961	0.956	0.945	0.952	0.928	0.947	0.820	0.828	0.835	0.840	0.850
Twitter-sentiment	0.962	0.979	0.978	0.980	0.981	0.976	0.966	0.979	0.903	0.914	0.927	0.888	0.909
Average	0.801	0.870	0.865	0.862	0.859	0.858	0.826	0.847	0.815	0.821	0.826	0.820	0.828