Ensemble of Rotation Trees for Imbalanced Medical Datasets

Table 3

The recalls and standard errors of ERT, RURO, EasyEnsemble, BalanceCascade, Bagging, and C4.5.

Dataset	ERT	RURF	EasyEnsemble	BalanceCascade	Bagging	C4.5
d1	0.5917 ± 0.1733	0.2975 ± 0.1572●	0.4476 ± 0.1687●	0.4522 ± 0.1607●	0.2433 ± 0.1362●	0.2471 ± 0.1441●
d2	0.9946 ± 0.0140	0.9847 ± 0.0261●	0.9643 ± 0.0382●	0.9660 ± 0.0379●	0.9502 ± 0.0487●	0.9198 ± 0.0492●
d3	0.7834 ± 0.0681	0.5528 ± 0.0846●	0.7828 ± 0.0766●	0.7824 ± 0.0777●	0.6110 ± 0.0912●	0.5915 ± 0.1178●
d4	0.8150 ± 0.2265	0.4792 ± 0.2728●	0.7742 ± 0.2285●	0.7658 ± 0.2302●	0.3642 ± 0.2757●	0.3442 ± 0.2618●
d5	0.5300 ± 0.5016	0.2300 ± 0.4230●	0.3000 ± 0.4606●	0.3000 ± 0.4606●	0.2900 ± 0.4560●	0.2800 ± 0.4513●
d6	0.9975 ± 0.0250	0.9242 ± 0.1382●	0.9350 ± 0.1311●	0.9342 ± 0.1373●	0.8692 ± 0.1758●	0.8983 ± 0.1767●
d7	0.9975 ± 0.0250	0.9158 ± 0.1404●	0.9467 ± 0.1217●	0.9433 ± 0.1247●	0.8750 ± 0.1893●	0.8775 ± 0.1912●
d8	0.9861 ± 0.0230	0.8884 ± 0.0651●	0.9805 ± 0.0303●	0.9814 ± 0.0289	0.8658 ± 0.0760●	0.8684 ± 0.0717●
Average	0.8370	0.6591	0.7664	0.7657	0.6336	0.6283

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