Research Article
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 |
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