Table 7.

Classification results for LSR model type using RandomSearchCV and GridSearchCV.

Search Method	Class	Precision	Recall	F1-Score
RandomSearchCV	0	0.94	0.94	0.99
	1	0.98	0.91	0.94
	2	0.93	0.97	0.90
Test Accuracy				0.95
Best Accuracy				0.88
Best Hyperparameters		{’svm__kernel’: ’linear’, ’svm__C’: 1, ’rf__n_estimators’: 200, ’rf__max_depth’: None, ’final_estimator__n_estimators’: 100, ’final_estimator__max_depth’: 10}
GridSearchCV	0	0.91	0.90	0.95
	1	0.98	0.98	0.93
	2	0.93	0.93	0.93
Test Accuracy				0.94
Best Accuracy				0.90
Best Hyperparameters		{’final_estimator__max_depth’: 10, ’final_estimator__n_estimators’: 200, ’rf__max_depth’: 20, ’rf__n_estimators’: 200, ’svm__C’: 1, ’svm__kernel’: ’linear’}