From: Prediction of novel mouse TLR9 agonists using a random forest approach
Algorithm | Cross-validation | Mean balanced accuracy | SD balanced accuracy | Mean MCC | SD MCC |
---|---|---|---|---|---|
RF | 5-fold | 77.8% | 0.08 | 0.57 | 0.15 |
GBM | 5-fold | 76.8% | 0.07 | 0.55 | 0.12 |
SDA | 5-fold | 74.6% | 0.08 | 0.50 | 0.14 |
SVM | 5-fold | 77.1% | 0.08 | 0.55 | 0.16 |
NN | 5-fold | 74.1% | 0.07 | 0.50 | 0.13 |
RF | 10-fold | 78.9% | 0.06 | 0.60 | 0.11 |
GBM | 10-fold | 77.7% | 0.05 | 0.57 | 0.10 |
SDA | 10-fold | 75.8% | 0.06 | 0.53 | 0.11 |
SVM | 10-fold | 78.4% | 0.05 | 0.58 | 0.11 |
NN | 10-fold | 72.9% | 0.05 | 0.48 | 0.10 |
RF | 15-fold | 77.0% | 0.06 | 0.55 | 0.11 |
GBM | 15-fold | 76.9% | 0.06 | 0.55 | 0.11 |
SDA | 15-fold | 73.5% | 0.06 | 0.49 | 0.11 |
SVM | 15-fold | 76.3% | 0.05 | 0.53 | 0.11 |
NN | 15-fold | 72.6% | 0.07 | 0.47 | 0.15 |
RF | 20-fold | 79.7% | 0.05 | 0.61 | 0.09 |
GBM | 20-fold | 78.5% | 0.07 | 0.58 | 0.12 |
SDA | 20-fold | 76.1% | 0.08 | 0.54 | 0.14 |
SVM | 20-fold | 75.4% | 0.05 | 0.52 | 0.09 |
NN | 20-fold | 74.9% | 0.07 | 0.52 | 0.13 |