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

Table 10

AUC and -Mean results of 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
RF-BD	0.6979	0.6291	0.7455	0.7005	0.5172	0.1851
ROS (RS: 100%) + RF-BD	0.9809	0.9807	0.9901	0.9900	0.6096	0.4527
ROS (RS: 130%) + RF-BD	0.9813	0.9812	0.9901	0.9901	0.6121	0.4581
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
ROS (RS: 100%) + SVM-BD (regParam: 0.0)	0.6135	0.4961	0.9432	0.9431	0.6135	0.4961
ROS (RS: 130%) + SVM-BD (regParam: 1.0)	0.8164	0.7956	0.9523	0.9522	0.8164	0.7956
ROS (RS: 130%) + SVM-BD (regParam: 0.5)	0.8629	0.8528	0.9539	0.9539	0.8629	0.8528
ROS (RS: 130%) + SVM-BD (regParam: 0.0)	0.6248	0.5147	0.9429	0.9428	0.6248	0.5147