Table 3.

Setup to search for hyperparameters of the classifiers

Classifier	Search type	Parameter	Setup
Naive Bayes	–	–	Gaussian Probability Density Function
RF	Random	Number of estimators	50–3000 in steps of 50
		criterion	Gini or entropy
MLP	Random	Neurons in hidden layer	2–1000
		algorithm	Levenberg–Marquardt method
kNN	Grid	number of neighbors	3, 5, 7, 9, 11, 13, 15
SVM (linear kernel)	Random	C	$2^{-5}$ to $2^{15}$
SVM (RBF kernel)	Random	C	$2^{-5}$ to $2^{15}$
		$\gamma$	$2^{-15}$ to $2^3$