Table 1.

Machine learning model’s hyperparameter.

Classifier	Hyperparameter value
LR	$random\_state$ = 9
LDA	solver = ’svd’
KNN	$n\_neighbors$ = 5
DT	Estimators = 100
RF	$n\_estimators$ = 200, $random\_state$ = 0
GaussianNB	$var\_smoothing$ = 1e−09
SVM	Kernel = ’linear’, c = 1, $random\_state$ = 0