Imbalanced Learning Based on Logistic Discrimination

Table 4

The recalls and standard errors of ILLtD, LD-US, LD-OS, and LD.

Data set	ILLD	LD	LD-US	LD-OS
d1	0.8950 ± 0.1141	0.9350 ± 0.1001	0.8550 ± 0.0956	0.7600 ± 0.0937^•
d2	0.7800 ± 0.1619	0.8600 ± 0.1897	0.8400 ± 0.1430	0.7200 ± 0.2201
d3	0.7364 ± 0.2326	0.7727 ± 0.2278	0.7091 ± 0.1342	0.6273 ± 0.1890
d4	0.9709 ± 0.0143	0.9343 ± 0.0722	0.9228 ± 0.0286^•	0.8755 ± 0.0382^•
d5	0.6096 ± 0.0806	0.5413 ± 0.0550^•	0.6003 ± 0.0645	0.3693 ± 0.0670^•
d6	0.9755 ± 0.0535	0.9323 ± 0.1121	0.6619 ± 0.0996^•	0.8311 ± 0.1227^•
d7	0.4833 ± 0.1838	0.4764 ± 0.2075	0.3556 ± 0.1336	0.3167 ± 0.2010^•
d8	0.7786 ± 0.1831	0.9048 ± 0.1139	0.6310 ± 0.2457	0.4429 ± 0.2580^•
d9	0.7125 ± 0.1291	0.6750 ± 0.1133	0.5375 ± 0.1070^•	0.5687 ± 0.1486
d10	0.7574 ± 0.0593	0.7015 ± 0.0416^•	0.7412 ± 0.0506	0.7044 ± 0.0512^•
d11	0.6778 ± 0.0599	0.6778 ± 0.0608	0.6683 ± 0.0696	0.6698 ± 0.0664
d12	0.3923 ± 0.0674	0.5077 ± 0.1926	0.3692 ± 0.1013	0.0846 ± 0.0437^•
d13	0.9570 ± 0.0232	0.9744 ± 0.0087	0.9429 ± 0.0088	0.8404 ± 0.0575^•
d14	0.5500 ± 0.1080	0.7300 ± 0.2163°	0.5000 ± 0.2160	0.4300 ± 0.0949^•
Average	0.7340	0.7588	0.6668	0.5886