An Effective Big Data Supervised Imbalanced Classification Approach for Ortholog Detection in Related Yeast Species

Table 12

AUC and -Mean results of the unsupervised and the best supervised classifiers in Experiments 1 and 2.

Algorithm	S. cerevisiae-K. lactis		S. cerevisiae-C. glabrata		S. cerevisiae-S. pombe
	AUC	-Mean	AUC	-Mean	AUC	-Mean
RBH	0.1497	0.0062	0.8196	0.7995	0.4697	0.4525
RSD 0.2 1e − 20	0.5862	0.4862	0.9238	0.9206	0.4874	0.4438
RSD 0.5 1e − 10	0.5926	0.4643	0.9340	0.9316	0.4980	0.4063
RSD 0.8 1e − 05	0.5886	0.4518	0.9382	0.9362	0.5009	0.3899
OMA	0.5765	0.4904	0.9287	0.9259	0.5151	0.4644
RF-BDCS	0.9889	0.9889	0.9934	0.9934	0.7294	0.6745
ROS (RS: 100%) + SVM-BD (regParam: 1.0)	0.9477	0.9477	0.9542	0.9542	0.8632	0.8533
ROS (RS: 100%) + SVM-BD (regParam: 0.5)	0.8845	0.8791	0.9540	0.9539	0.8845	0.8791