Korean Journal of Family Practice

Table. 3.

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.

Korean J Fam Pract 2022;12:173~178 https://doi.org/10.21215/kjfp.2022.12.3.173
© KJFP