Table 3.

Results on the classification of machine learning model.

Model	ACC	AUC	SP	ST
RF	0.841	0.832	0.936	0.728
RF∗	0.853	0.848	0.905	0.792
Gradient Boosting	0.852	0.843	0.941	0.746
Gradient Boosting∗	0.864	0.859	0.920	0.798
SVM	0.796	0.792	0.833	0.752
SVM∗	0.832	0.828	0.865	0.792
AdaBoost	0.839	0.830	0.921	0.740
AdaBoost∗	0.864	0.858	0.925	0.792
KNeighbors	0.729	0.716	0.852	0.580
KNeighbors∗	0.736	0.728	0.830	0.625

Models with an asterisk ∗ mean that K-means is applied before using these models.