Table 5.

Summary of ML models parameters for the second feature set.

Model	Binary Classification	Multiclass Classification
SVM	Kernel: Radial Basis Function Max iterations: 50,000	Kernel: Radial Basis Function Max iterations: 50,000
Decision Tree	Max depth: 7 Entropy criterion	Max depth: 8 Entropy criterion
Random Forest	Max depth: 7 Entropy criterion Trees: 2	Max depth: 8 Entropy criterion Trees: 9