Table 2 Five-fold cross validation results of the DT, RF and SVM models trained with multiple types of features
Training feature | Classifier | Sensitivity (%) | Specificity (%) | Accuracy (%) | MCC |
|---|---|---|---|---|---|
AAC + AAPC | DT | 53.9 | 50.6 | 51.7 | 0.04 |
RF | 58.4 | 60.1 | 59.6 | 0.18 | |
SVM | 53.9 | 57.3 | 56.2 | 0.11 | |
AAC + B62 | DT | 42.7 | 66.3 | 58.4 | 0.09 |
RF | 59.6 | 59.0 | 59.2 | 0.18 | |
SVM | 68.5 | 34.8 | 46.1 | 0.03 | |
AAC + PSSM | DT | 32.6 | 64.6 | 53.9 | − 0.03 |
RF | 59.6 | 59.0 | 59.2 | 0.18 | |
SVM | 39.3 | 59.6 | 52.8 | − 0.01 | |
AAPC + PSSM | DT | 31.5 | 69.7 | 56.9 | 0.01 |
RF | 62.9 | 54.5 | 57.3 | 0.16 | |
SVM | 39.3 | 59.6 | 52.8 | − 0.01 | |
AAC + AAPC + B62 | DT | 40.4 | 63.5 | 55.8 | 0.04 |
RF | 60.7 | 54.5 | 56.6 | 0.14 | |
SVM | 68.5 | 34.3 | 45.7 | 0.03 | |
AAC + AAPC + PSSM | DT | 31.5 | 64.6 | 53.6 | − 0.04 |
RF | 62.9 | 62.9 | 62.9 | 0.24 | |
SVM | 69.7 | 39.3 | 49.4 | 0.09 |