Table 9.

Classification results for EPDM model type using RandomSearchCV and GridSearchCV.

Search Method	Class	Precision	Recall	F1-Score
RandomSearchCV	0	0.80	0.83	0.86
	1	0.85	0.82	0.85
	2	0.82	0.87	0.89
Test Accuracy				0.84
Best Accuracy				0.83
Best Hyperparameters		{’svm__kernel’: ’rbf’, ’svm__C’: 10, ’rf__n_estimators’: 200, ’rf__max_depth’: None, ’final_estimator__n_estimators’: 100, ’final_estimator__max_depth’: None}
GridSearchCV	0	0.80	0.83	0.86
	1	0.85	0.82	0.85
	2	0.82	0.87	0.89
Test Accuracy				0.84
Best Accuracy				0.83
Best Hyperparameters		{’final_estimator__max_depth’: None, ’final_estimator__n_estimators’: 100, ’rf__max_depth’: None, ’rf__n_estimators’: 200, ’svm__C’: 10, ’svm__kernel’: ’rbf’}