Ensemble of Rotation Trees for Imbalanced Medical Datasets

Table 5

The g-means and standard errors of ERT, RURO, EasyEnsemble, BalanceCascade, Bagging, and C4.5.

Dataset	ERT	RURF	EasyEnsemble	BalanceCascade	Bagging	C4.5
d1	0.6289 ± 0.0991	0.4993 ± 0.1640●	0.5726 ± 0.1133●	0.5767 ± 0.1046●	0.4470 ± 0.1722●	0.4507 ± 0.1713●
d2	0.9756 ± 0.0144	0.9747 ± 0.0174	0.9544 ± 0.0229●	0.9560 ± 0.0231●	0.9576 ± 0.0280●	0.9366 ± 0.0291●
d3	0.7573 ± 0.0463	0.6945 ± 0.0548●	0.7443 ± 0.0461●	0.7444 ± 0.0460●	0.7173 ± 0.0575●	0.6947 ± 0.0685●
d4	0.7848 ± 0.1580	0.6122 ± 0.2577●	0.7451 ± 0.1567●	0.7391 ± 0.1684●	0.4999 ± 0.3021●	0.4759 ± 0.2990●
d5	0.5036 ± 0.4774	0.2300 ± 0.4230●	0.2440 ± 0.3786●	0.2445 ± 0.3792●	0.2900 ± 0.4560●	0.2800 ± 0.4513●
d6	0.9873 ± 0.0206	0.9553 ± 0.0777●	0.9449 ± 0.0784●	0.9457 ± 0.0832●	0.9224 ± 0.1040●	0.9334 ± 0.1055●
d7	0.9879 ± 0.0193	0.9520 ± 0.0779●	0.9431 ± 0.0725●	0.9408 ± 0.0734●	0.9226 ± 0.1125●	0.9203 ± 0.1131●
d8	0.9775 ± 0.0128	0.9404 ± 0.0352●	0.9710 ± 0.0159●	0.9713 ± 0.0151●	0.9279 ± 0.0414●	0.9284 ± 0.0394●
Average	0.8254	0.7323	0.7649	0.7648	0.7106	0.7025

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