Research Article
An Effective Big Data Supervised Imbalanced Classification Approach for Ortholog Detection in Related Yeast Species
Table 11
Run time results in seconds of the big data solutions in Experiments 1 and 2.
| | Datasets | S. cerevisiae-K. lactis | S. cerevisiae-C. glabrata | S. cerevisiae-S. pombe |
| | RF-BD | 1201.59 | 2174.90 | 2060.99 | | ROS (RS: 100%) + RF-BD | 2983.75 | 4562.38 | 4440.03 | | ROS (RS: 130%) + RF-BD | 3345.04 | 4805.50 | 4681.51 | | RF-BDCS | 1302.41 | 2362.04 | 2025.15 | | SVM-BD | 461.87 | 482.85 | 480.45 | | ROS (RS: 100%) + SVM-BD (regParam: 1.0) | 867.38 | 1011.59 | 1012.46 | | ROS (RS: 100%) + SVM-BD (regParam: 0.5) | 874.62 | 1008.77 | 1013.32 | | ROS (RS: 100%) + SVM-BD (regParam: 0.0) | 859.17 | 1008.24 | 999.31 | | ROS (RS: 130%) + SVM-BD (regParam: 1.0) | 927.14 | 1079.19 | 1079.58 | | ROS (RS: 130%) + SVM-BD (regParam: 0.5) | 929.17 | 1084.19 | 1076.33 | | ROS (RS: 130%) + SVM-BD (regParam: 0.0) | 924.42 | 1076.37 | 1077.21 |
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