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

Table 9

Geometric mean results of the best supervised classifiers in each dataset.

Dataset	ROS (RS: 100%) + RF-BD (Scer-Klac)	ROS (RS: 130%) + RF-BD (Scer-Klac)	RF-BDCS (Scer-Klac)	ROS (RS: 100%) + RF-BD (Scer-Cgla)	ROS (RS: 130%) + RF-BD (Scer-Cgla)	RF-BDCS (Scer-Cgla)	ROS (RS: 100%) + SVM-BD (regParam: 1.0); (Scer-Spombe)	ROS (RS: 100%) + SVM-BD (regParam: 0.5); (Scer-Spombe)
Blosum50	0.9818	0.9818	0.9896	0.9889	0.9885	0.9934	0.8393	0.8673
Blosum621	0.9801	0.9818	0.9855	0.9891	0.9903	0.9932	0.8707	0.8959
Blosum622	0.9793	0.9793	0.9905	0.9910	0.9910	0.9929	0.8536	0.8694
Pam250	0.9818	0.9818	0.9899	0.9912	0.9905	0.9941	0.8495	0.8839