Classification performance of random forest and gradient boosting machine
Metrics | Random forest (95% CI) |
Gradient boosting machine (95% CI) |
---|---|---|
Accuracy | 0.761 (0.750–0.771) | 0.759 (0.749–0.769) |
Specificity | 0.740 (0.726–0.752) | 0.732 (0.718–0.745) |
Sensitivity | 0.805 (0.786–0.822) | 0.817 (0.799–0.834) |
G-mean | 0.771 (0.761–0.782) | 0.773 (0.762–0.783) |
AUC | 0.847 (0.837–0.857) | 0.852 (0.842–0.862) |
G-mean, geometric mean; AUC, area under the receiver operating characteristics curve.