Table 1.
Classifier | Sn (%) | Sp (%) | Acc (%) | MCC (%) |
---|---|---|---|---|
xgboost | 52.52 | 81.25 | 71.98 | 46.05 |
Random Forest | 25.25 | 97.60 | 74.26 | 38.67 |
Adaboost + CART | 52.53 | 88.94 | 77.20 | 41.03 |
SVM | 73.74 | 90.87 | 85.34 | 65.92 |
PhagePred | 96.97 | 99.04 | 98.37 | 96.27 |
Acc: accuracy, Sn: sensitivity, Sp: specificity, MCC: Matthew’s correlation coefficient, CART: Classification and Regression Trees.