Imbalanced Learning Based on Logistic Discrimination

Table 6

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

Data set	ILLD	LD	LD-US	LD-OS
d1	0.9170 ± 0.0434	0.8930 ± 0.0693	0.9040 ± 0.0619	0.8636 ± 0.0553^•
d2	0.8469 ± 0.0823	0.8314 ± 0.0945	0.8628 ± 0.0701	0.8123 ± 0.1334
d3	0.7865 ± 0.1364	0.7391 ± 0.1094	0.7886 ± 0.0882	0.7407 ± 0.1256
d4	0.9679 ± 0.0031	0.9398 ± 0.0374^•	0.9437 ± 0.0126^•	0.9204 ± 0.0195^•
d5	0.6468 ± 0.0311	0.5679 ± 0.0300^•	0.5783 ± 0.0396^•	0.5429 ± 0.0421^•
d6	0.9784 ± 0.0253	0.9068 ± 0.0577^•	0.8060 ± 0.0596^•	0.9055 ± 0.0696^•
d7	0.6199 ± 0.1395	0.5082 ± 0.1867	0.5468 ± 0.1193	0.5003 ± 0.1611^•
d8	0.8442 ± 0.1140	0.8611 ± 0.0642	0.7530 ± 0.1540	0.6021 ± 0.2597^•
d9	0.7549 ± 0.0602	0.6858 ± 0.0658^•	0.6668 ± 0.0748^•	0.6847 ± 0.0992
d10	0.7926 ± 0.0292	0.7052 ± 0.0362^•	0.7439 ± 0.0221^•	0.7587 ± 0.0338^•
d11	0.8117 ± 0.0328	0.7793 ± 0.0336	0.7845 ± 0.0431	0.7920 ± 0.0465
d12	0.5394 ± 0.0259	0.4880 ± 0.0764^•	0.4991 ± 0.0575^•	0.2694 ± 0.1057^•
d13	0.9455 ± 0.0089	0.9495 ± 0.0064	0.9565 ± 0.0024°	0.8810 ± 0.0321^•
d14	0.7372 ± 0.0733	0.6512 ± 0.0995^•	0.6223 ± 0.2299	0.6515 ± 0.0722^•
Average	0.7992	0.7504	0.7469	0.7089