Table 4.

Model parameters.

Model	Parameter
DT	default
GB	estimator = 100, learning rate = 0.1, max. depth = 3, random state = 0.
kNN	k = 3.
MLP	network solver = adam, alpha=1e-5, hidden layer = 128, input layer = 9 output layer = 5, max iteration = 600, random state = 42.
RF	tree = 30, random state = 42.
SVM	kernel = RBF, gamma = 0.8, C = 1.