A Novel Selective Ensemble Algorithm for Imbalanced Data Classification Based on Exploratory Undersampling

Table 3

Performance results of all methods based on AUC evaluation metric. The values with boldface mean the best result.

Dataset	CART	RUSB	SMOB	UNBag	SMBag	AdaC	RAMO	RotF	Easy	RotE-un	RotEasy
Spambase	0.9308	0.9762	0.9847	0.9800	0.9798	0.9846	0.9808	0.9858	0.9881	0.9889	0.9891
Vote	0.8732	0.9932	0.9855	0.9879	0.8875	0.8955	0.9924	0.9871	0.9926	0.9873	0.9868
Wdbc	0.9315	0.9899	0.9913	0.9872	0.9876	0.9874	0.9946	0.9892	0.9948	0.9952	0.9928
Ionosphere	0.8827	0.8599	0.9786	0.8798	0.8742	0.9749	0.9872	0.8933	0.9728	0.9731	0.8876
Pima	0.7226	0.8187	0.8102	0.8305	0.8127	0.1876	0.7971	0.7711	0.8258	0.8191	0.8317
German	0.6918	0.7861	0.7814	0.7823	0.7974	0.2139	0.7711	0.8007	0.7924	0.8032	0.8891
Phoneme	0.8852	0.8180	0.9682	0.9525	0.9582	0.9608	0.9691	0.9629	0.9623	0.9617	0.9736
Haberman	0.6329	0.6135	0.6595	0.6827	0.6458	0.3285	0.6219	0.6643	0.6645	0.6969	0.8435
Vehicle	0.7289	0.8701	0.8636	0.8669	0.8477	0.1923	0.8465	0.8738	0.8684	0.8154	0.9272
Cmc	0.6655	0.7118	0.6670	0.7322	0.7060	0.2756	0.6626	0.7165	0.7117	0.8341	0.8460
House	0.6812	0.8136	0.8258	0.8259	0.8121	0.5293	0.8274	0.8181	0.8486	0.8438	0.8917
Scrapie	0.6334	0.6393	0.6065	0.6543	0.6256	0.3479	0.6099	0.6395	0.6465	0.6444	0.7208
Yeast	0.8525	0.9733	0.9648	0.9749	0.9539	0.9739	0.9695	0.9721	0.9756	0.9759	0.9767
Mfeat_zer	0.8538	0.9923	0.9965	0.9793	0.9715	0.9843	0.9939	0.9944	0.9933	0.9906	0.9889
Mfeat_kar	0.8611	0.9942	0.9962	0.9761	0.9796	0.9854	0.9923	0.9906	0.9932	0.9942	0.9932
Satimage	0.7955	0.9462	0.9703	0.9522	0.9535	0.9607	0.9704	0.9593	0.9596	0.9576	0.9716
Abalone7	0.6887	0.8423	0.8144	0.8569	0.8245	0.8368	0.8191	0.8506	0.8485	0.8554	0.8647
Sick	0.9521	0.9879	0.9885	0.9882	0.9843	0.9858	0.9876	0.9818	0.9883	0.9884	0.9896
Cbands	0.8795	0.9952	0.9974	0.9913	0.9935	0.9938	0.9958	0.9954	0.9936	0.9955	0.9958
Ozone	0.6825	0.8807	0.8895	0.8911	0.8566	0.8689	0.8772	0.8778	0.8957	0.9018	0.9220
Average	0.7912	0.8751	0.8870	0.8885	0.8726	0.7234	0.8833	0.8862	0.8958	0.8955	0.9241