Table 1.
Models | CCR | Kappa | Se | Sp | Coverage |
---|---|---|---|---|---|
MACCS-GBM | 0.73 | 0.46 | 0.76 | 0.70 | 0.71 |
AtomPairs-GBM | 0.71 | 0.41 | 0.71 | 0.70 | 0.71 |
Morgan-GBM | 0.76 | 0.51 | 0.77 | 0.74 | 0.68 |
FeatMorgan-GBM | 0.74 | 0.47 | 0.76 | 0.71 | 0.66 |
Avalon-GBM | 0.74 | 0.47 | 0.79 | 0.68 | 0.77 |
MACCS-RF | 0.75 | 0.51 | 0.79 | 0.72 | 0.71 |
AtomPairs-RF | 0.75 | 0.50 | 0.73 | 0.77 | 0.71 |
Morgan-RF | 0.76 | 0.52 | 0.79 | 0.73 | 0.68 |
FeatMorgan-RF | 0.75 | 0.50 | 0.70 | 0.80 | 0.66 |
Avalon-RF | 0.74 | 0.49 | 0.76 | 0.73 | 0.77 |
MACCS-SVM | 0.77 | 0.53 | 0.77 | 0.76 | 0.71 |
AtomPairs-SVM | 0.74 | 0.48 | 0.74 | 0.74 | 0.71 |
Morgan-SVM | 0.76 | 0.53 | 0.80 | 0.73 | 0.68 |
FeatMorgan-SVM | 0.76 | 0.51 | 0.75 | 0.76 | 0.66 |
Avalon-SVM | 0.73 | 0.46 | 0.72 | 0.74 | 0.77 |
Consensus* | 0.77 | 0.53 | 0.79 | 0.74 | 1.00 |
GBM: Gradient Boosting Machine; SVM: Support Vector Machine; RF: Random Forest; CCR: correct classification rate; Kappa: Cohen’s kappa coefficient; Se: sensitivity; Sp: specificity.
Consensus model was developed by averaging the predictions of all 15 single models.