Research Article
Predicting Protein-Protein Interactions via Random Ferns with Evolutionary Matrix Representation
Table 3
Five-fold cross-validation results by using two models on the Yeast dataset.
| | Classifier | Testing set | ACC (%) | PE (%) | SN (%) | MCC (%) | AUC (%) |
| | SVM | 1 | 81.63 | 84.29 | 77.73 | 69.91 | 87.06 | | 2 | 80.02 | 83.86 | 75.61 | 67.92 | 86.23 | | 3 | 79.44 | 80.79 | 76.39 | 67.25 | 84.55 | | 4 | 80.20 | 83.28 | 75.63 | 68.11 | 84.74 | | 5 | 80.69 | 82.83 | 76.83 | 68.72 | 86.34 | | Average | | | | | | | RFs | 1 | 95.26 | 99.41 | 91.06 | 90.94 | 94.79 | | 2 | 94.99 | 99.33 | 90.85 | 90.47 | 93.44 | | 3 | 94.81 | 98.81 | 90.55 | 90.12 | 94.11 | | 4 | 94.77 | 99.21 | 90.27 | 90.05 | 94.00 | | 5 | 95.31 | 98.92 | 91.49 | 91.02 | 94.99 | | Average | | | | | | | Random Forest | Average | | | | | | | XGBoost | Average | | | | | |
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