Table 11 Performance evaluation metrics of different machine learning methods for reduced dataset consisted of antioxidant and non-antioxident peptides using tenfold cross validation.
Leaming methods | Precision | Recall | F-measure | Accuracy | AUC |
|---|---|---|---|---|---|
SMO | 74.3 | 72.4 | 73.3 | 72.4 | 0.741 |
Rotation forest | 92.7 | 92.7 | 92.7 | 92.7 | 0.934 |
PART | 88.3 | 88.3 | 88.3 | 88.3 | 0.899 |
J48 | 88.3 | 91.2 | 89.7 | 91.2 | 0.916 |
Vote | 95.2 | 96.3 | 95.8 | 96.3 | 0.989 |
Random forest | 93.7 | 92.5 | 93.1 | 92.5 | 0.962 |
