Table 2.

Summary of hyperparameters used by AI classifiers.

AI Classifiers	Parameters Used
RF	n_estimators: 200, max_depth: 5
DT	criterion: [‘gini’], splitter: [‘best’, ‘random’]
SVM	gamma: [‘auto’], probability: True, kernel: [‘rbf’]
Perceptron	alphafloat: [0.0001], l1_ratiofloat: [0.15]
GaussianNB	priors: None, var_smoothing: 1 $\times {10}^{-9}$