Table 4.

Evaluation results of the naive Bayesian, SVM, and RF models by endurance levels.

Endurance Level	Naive Bayesian				SVM				RF
	ACC	SE	SP	F1	ACC	SE	SP	F1	ACC	SE	SP	F1
0%	0.538	0.643	0.417	0.600	0.577	0.571	0.583	0.593	0.577	0.500	0.667	0.560
5%	0.604	0.778	0.381	0.689	0.583	0.630	0.524	0.630	0.604	0.667	0.524	0.655
10%	0.606	0.767	0.357	0.702	0.592	0.651	0.500	0.659	0592	0.651	0.500	0.659
15%	0.606	0.803	0.302	0.711	0.615	0.667	0.535	0.677	0.578	0.652	0.465	0.652
20%	0.602	0.825	0.264	0.714	0.602	0.688	0.472	0.675	0.564	0.675	0.396	0.651
30%	0.589	0.810	0.279	0.697	0.601	0.684	0.485	0.667	0.571	0.674	0.426	0.646

ACC: accuracy; SE: sensitivity; SP: specificity; SVM: support vector machine; RF: random forest.