Ensemble of Rotation Trees for Imbalanced Medical Datasets

Table 6

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

Dataset	ERT	RURF	EasyEnsemble	BalanceCascade	Bagging	C4.5
d1	0.6404 ± 0.0906	0.6117 ± 0.0846●	0.6078 ± 0.0872●	0.6099 ± 0.0828●	0.5929 ± 0.0719●	0.5944 ± 0.0755●
d2	0.9759 ± 0.0141	0.9750 ± 0.0171	0.9548 ± 0.0226●	0.9564 ± 0.0228●	0.9580 ± 0.0275●	0.9372 ± 0.0287●
d3	0.7592 ± 0.0458	0.7157 ± 0.0459●	0.7472 ± 0.0462●	0.7473 ± 0.0460●	0.7295 ± 0.0511●	0.7099 ± 0.0569●
d4	0.8039 ± 0.1158	0.6992 ± 0.1415●	0.7590 ± 0.1372●	0.7559 ± 0.1364●	0.6502 ± 0.1416●	0.6376 ± 0.1272●
d5	0.7258 ± 0.2437	0.6150 ± 0.2115●	0.5429 ± 0.2065●	0.5445 ± 0.2060●	0.6446 ± 0.2283●	0.6396 ± 0.2259●
d6	0.9876 ± 0.0198	0.9590 ± 0.0701●	0.9478 ± 0.0735●	0.9488 ± 0.0774●	0.9299 ± 0.0900●	0.9403 ± 0.0896●
d7	0.9882 ± 0.0186	0.9560 ± 0.0705●	0.9464 ± 0.0656●	0.9442 ± 0.0666●	0.9311 ± 0.0954●	0.9285 ± 0.0972●
d8	0.9776 ± 0.0128	0.9426 ± 0.0326●	0.9712 ± 0.0158●	0.9715 ± 0.0151●	0.9310 ± 0.0382●	0.9314 ± 0.0360○
Average	0.8573	0.8093	0.8096	0.8098	0.7959	0.7899

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