Table 2.

SVM and random forest training configurations.

Classifier	Parameters
SVM	Regularization Constant (C): 1, 10, 100
	Kernel: linear, rbf, poly, sigmoid
Random Forest	Criterion: gini, entropy
	Number of Estimators: 5, 10, 50
	Max Depth: 5, 10, 50