Table 2 Resubstitution and cross-validation results based on random forest models
Evaluation indicators | 24,761 k-mer predictors | Six k-mer predictors | One k-mer predictor | |||
|---|---|---|---|---|---|---|
Resubstitution estimate | Ten-fold cross-validation | Resubstitution estimate | Ten-fold cross-validation | Resubstitution estimate | Ten-fold cross-validation | |
Accuracy | 0.9900 | 0.9887 | 0.9912 | 0.9858 | 0.9812 | 0.9812 |
Sensitivity | 0.9858 | 0.9862 | 0.9918 | 0.9844 | 0.9836 | 0.9836 |
Specificity | 0.9967 | 0.9935 | 0.9903 | 0.9880 | 0.9773 | 0.9772 |
PPV | 0.9980 | 0.9959 | 0.9939 | 0.9925 | 0.9857 | 0.9857 |
NPV | 0.9773 | 0.9771 | 0.9871 | 0.9752 | 0.9741 | 0.9741 |
Kappa | 0.9788 | 0.9759 | 0.9815 | 0.9700 | 0.9603 | 0.9603 |
