Table 2.

Required parameters to operate the classifier in the Weka suite, according to [34].

Method	Parameters	Weka Function
MLP	Learning rate (L), momentum (M), training time (N), number of neurons in the hidden layers (H), and seed (S)	MultilayerPerceptron
SVM	Cost (C), gamma (G), kernel type	LibSVM
KNN	Number of neighbors (KNN) and distance function (A)	IBk
MNLR	Ridge (R)	Logistic

In Weka, the parameter N of MLP refers to the number of epochs to train through and the nodes in the network are all sigmoid. Additionally, the radial basis function (RBF) kernel was used in all experiments using SVM and only one neighbor was set for the KNN classifier.