Table 7.

Mean AUCs of different algorithms based on 10-fold cross-validation done twice. The bottom row gives the average AUCs. Best results are underlined.

Data Set	ISMB	ISMB-MS	NISMB	NB	DT	LR	NN	kNN	LBR	AB
australian	0.9315	0.9303	0.9313	0.9200	0.9032	0.9187	0.8937	0.9092	0.9186	0.9172
breast-cancer	0.9926	0.9922	0.9925	0.9933	0.9613	0.9879	0.9818	0.9930	0.9933	0.9802
cleveland	0.9098	0.9079	0.9084	0.9141	0.7952	0.9089	0.8781	0.8995	0.9141	0.8350
corral	1.0000	0.9997	1.0000	0.9252	0.9916	0.9459	1.0000	0.9827	0.9373	0.9932
crx	0.9303	0.9280	0.9302	0.9301	0.9087	0.9138	0.9002	0.9057	0.9302	0.9140
diabetes	0.8468	0.8468	0.8466	0.8438	0.7991	0.8439	0.8311	0.8148	0.8423	0.8004
flare	0.7289	0.7288	0.7261	0.7557	0.4916	0.7451	0.6445	0.6797	0.7520	0.7034
german	0.7662	0.7633	0.7641	0.7903	0.6736	0.7839	0.7340	0.7442	0.7891	0.7911
glass2	0.8703	0.8653	0.8700	0.8769	0.7982	0.8845	0.8483	0.8384	0.8826	0.8744
glass	0.9364	0.9361	0.9361	0.9408	0.8834	0.9101	0.9241	0.9112	0.9434	0.9488
heart	0.9055	0.9049	0.9073	0.9106	0.8239	0.9032	0.8649	0.8791	0.9106	0.8332
hepatitis	0.9225	0.9262	0.9237	0.9013	0.8203	0.7784	0.8436	0.8792	0.8970	0.9004
iris	0.9890	0.9900	0.9905	0.9938	0.9629	0.9846	0.9785	0.9886	0.9938	0.9808
lymphography	0.9139	0.9156	0.9173	0.9193	0.7741	0.8571	0.9192	0.9087	0.9175	0.8830
pima	0.8431	0.8424	0.8424	0.8450	0.7977	0.8456	0.8237	0.8134	0.8449	0.8284
postoperative	0.5026	0.4943	0.4538	0.5035	0.4228	0.4515	0.4113	0.3665	0.5035	0.4975
sonar	0.9203	0.9204	0.9217	0.9343	0.8521	0.9275	0.9331	0.9132	0.9345	0.9142
vehicle	0.9234	0.9228	0.9235	0.8655	0.8761	0.9016	0.8931	0.9032	0.9109	0.8965
vote	0.9875	0.9850	0.9854	0.9684	0.9578	0.9582	0.9871	0.9735	0.9660	0.9498
wine	0.9994	0.9994	0.9994	1.0000	0.9660	0.9967	0.9994	0.9981	1.0000	1.0000
zoo	0.9994	0.9992	0.9992	0.9989	0.9565	0.9967	0.9916	0.9995	0.9989	0.9622
average	0.8962	0.8952	0.8938	0.8919	0.8293	0.8783	0.8705	0.8715	0.8943	0.8764