Classifier | CV | Training | Test | Accuracy | Precision | Specificity | ROC AUC | MCC |
---|---|---|---|---|---|---|---|---|
Random Forest | k-fold | 58752 ± 0 (90.0% ± 0.0%) | 6528 ± 0 (10.0% ± 0.0%) | 0.83 ± 0.00 | 0.80 ± 0.01 | 0.79 ± 0.01 | 0.82 ± 0.00 | 0.64 ± 0.01 |
Random Forest | uniref50 k-fold | 58752 ± 0 (90.0% ± 0.0%) | 6528 ± 0 (10.0% ± 0.0%) | 0.81 ± 0.02 | 0.78 ± 0.04 | 0.76 ± 0.03 | 0.80 ± 0.02 | 0.61 ± 0.04 |