TABLE 2.

Comparison of metrics in machine learning models.

Model	Accuracy	Recall	Precision	F1
Support vector machine	0.640	0.620	0.620	0.620
K‐nearest neighbors	0.558	0.950	0.131	0.230
Decision tree	0.589	0.521	1.000	0.685
Random forest	0.613	0.727	0.447	0.554
Extra trees	0.613	0.388	0.776	0.518

Note: The peak of each index is shown in bold.