Ensemble of Rotation Trees for Imbalanced Medical Datasets

Table 4

The f-measures and standard errors of ERT, RURO, EasyEnsemble, BalanceCascade, Bagging, and C4.5.

Dataset	ERT	RURF	EasyEnsemble	BalanceCascade	Bagging	C4.5
d1	0.5031 ± 0.1159	0.3893 ± 0.1756●	0.4407 ± 0.1314●	0.4453 ± 0.1225●	0.3383 ± 0.1672●	0.3415 ± 0.1702●
d2	0.9587 ± 0.0234	0.9607 ± 0.0250	0.9328 ± 0.0311●	0.9350 ± 0.0312●	0.9429 ± 0.0346●	0.9171 ± 0.0369●
d3	0.6884 ± 0.0528	0.6196 ± 0.0695●	0.6749 ± 0.0518●	0.6749 ± 0.0519●	0.6434 ± 0.0722●	0.6148 ± 0.0836●
d4	0.6227 ± 0.1668	0.5117 ± 0.2505●	0.5673 ± 0.1808●	0.5632 ± 0.1847●	0.4154 ± 0.2792●	0.3856 ± 0.2671●
d5	0.3497 ± 0.3659	0.2300 ± 0.4230●	0.1019 ± 0.1694●	0.1043 ± 0.1775●	0.2900 ± 0.4560●	0.2800 ± 0.4513●
d6	0.9483 ± 0.0731	0.9408 ± 0.0972	0.8831 ± 0.1293●	0.8881 ± 0.1345●	0.8987 ± 0.1299●	0.8974 ± 0.1356●
d7	0.9506 ± 0.0669	0.9410 ± 0.0910	0.8623 ± 0.1332●	0.8572 ± 0.1329●	0.8912 ± 0.1387●	0.8762 ± 0.1424●
d8	0.8046 ± 0.0492	0.9168 ± 0.0439○	0.7682 ± 0.0557●	0.7674 ± 0.0562●	0.8991 ± 0.0516○	0.8878 ± 0.0532○
Average	0.7283	0.6887	0.6539	0.6544	0.6649	0.6501

●: ERT is significantly better; ○: ERT is significantly worse; level of significance: 0.05.