Table 8.

Classification results for LSR aging type using RandomSearchCV and GridSearchCV.

Search Method	Class	Precision	Recall	F1-Score
RandomSearchCV	0	0.90	0.98	0.94
	1	0.92	0.92	0.92
	2	0.91	0.95	0.98
Test Accuracy				0.98
Best Accuracy				0.93
Best Hyperparameters		{’svm__kernel’: ’rbf’, ’svm__C’: 0.1, ’rf__n_estimators’: 200, ’rf__max_depth’: 20, ’final_estimator__n_estimators’: 50, ’final_estimator__max_depth’: 20}
GridSearchCV	0	0.81	0.85	0.83
	1	0.91	0.88	0.90
	2	0.86	0.87	0.86
Test Accuracy				0.97
Best Accuracy				0.91
Best Hyperparameters		{’final_estimator__max_depth’: 10, ’final_estimator__n_estimators’: 200, ’rf__max_depth’: None, ’rf__n_estimators’: 50, ’svm__C’: 0.1, ’svm__kernel’: ’rbf’}