Table 3.

Performance comparison of six ML models

Model	F1	AUC	Accuracy	Sensitivity	Specificity
AB	0.809	0.809	0.809	0.8	0.818
LR	0.861	0.929	0.862	0.842	0.881
RF	0.927	0.975	0.927	0.941	0.913
BAG	0.953	0.992	0.953	0.987	0.919
MLP	0.945	0.978	0.945	0.972	0.919
GBM	0.95	0.984	0.95	0.967	0.933

Abbreviations ML, machine learning; AUC, area under the curve; AB, adaptive boosting; LR, logistic regression; RF, random forest; BAG, bootstrapped aggregating; MLP, multilayer perceptron; GBM, gradient boosting machine