Imbalanced Learning Based on Logistic Discrimination

Table 7

The AUCs and standard errors of ILLD, LD, LD-US, and LD-OS.

Data set	ILLD	LD	LD-US	LD-OS
d1	0.9206 ± 0.0397	0.8949 ± 0.0695	0.9065 ± 0.0589	0.8723 ± 0.0485^•
d2	0.8560 ± 0.0704	0.8412 ± 0.0804	0.8671 ± 0.0664	0.8289 ± 0.1123
d3	0.8021 ± 0.1120	0.7527 ± 0.1009	0.7966 ± 0.0809	0.7590 ± 0.1083
d4	0.9680 ± 0.0031	0.9405 ± 0.0365^•	0.9441 ± 0.0124^•	0.9218 ± 0.0186^•
d5	0.6510 ± 0.0283	0.5706 ± 0.0309^•	0.5802 ± 0.0397^•	0.5881 ± 0.0269^•
d6	0.9788 ± 0.0244	0.9090 ± 0.0560^•	0.8242 ± 0.0491^•	0.9116 ± 0.0604^•
d7	0.6580 ± 0.0922	0.5532 ± 0.0858^•	0.6128 ± 0.0795	0.6014 ± 0.0844
d8	0.8519 ± 0.1075	0.8672 ± 0.0581	0.7816 ± 0.1258	0.7055 ± 0.1172^•
d9	0.7611 ± 0.0546	0.6895 ± 0.0634^•	0.6859 ± 0.0659^•	0.7047 ± 0.0774
d10	0.7946 ± 0.0282	0.7059 ± 0.0360^•	0.7452 ± 0.0214^•	0.7617 ± 0.0329^•
d11	0.8260 ± 0.0267	0.7891 ± 0.0316^•	0.7959 ± 0.0368	0.8042 ± 0.0423
d12	0.5724 ± 0.0177	0.5093 ± 0.0616^•	0.5319 ± 0.0401^•	0.5315 ± 0.0207^•
d13	0.9457 ± 0.0087	0.9498 ± 0.0064	0.9566 ± 0.0023°	0.8824 ± 0.0307^•
d14	0.7734 ± 0.0538	0.6655 ± 0.0990^•	0.6806 ± 0.1220	0.7140 ± 0.0471^•
Average	0.8114	0.7599	0.7649	0.7562