Skip to main content
. 2021 Dec 16;192:116366. doi: 10.1016/j.eswa.2021.116366

Table 12.

Main parameters of the implemented supervised shallow classifiers: SVMs with 2-degree (SVM-2D) and 3-degree (SVM-3D) polynomial, and Radial Basis Function (SVM-RBF) kernels; MLPs equipped with single hidden layers composed by 50 (MLP-50), 100 (MLP-100), and 200 (MLP-200) neurons; RFs composed by 100 (RF-100), 500 (RF-500), and 1000 (RF-1000) binary trees.

Model Main parameters
2-degree polynomial kernel (SVM-2D)
SVM 3-degree polynomial kernel (SVM-3D)
RBF kernel (SVM-RBF)

50 neurons in the hidden layer (MLP-50)
MLP 100 neurons in the hidden layer (MLP-100)
200 neurons in the hidden layer (MLP-200)

RF with 100 randomly generated binary trees (RF-100)
RB RF with 500 randomly generated binary trees (RF-500)
RF with 1000 randomly generated binary trees (RF-1000)