Among these classifiers, GP and ET are the best-performing models with an accuracy of 0.91 and 0.89, respectively (Table ). GP achieved high Sensitivity (0.84) and perfect Specificity (1.00), demonstrating its capacity to accurately identify both positive and negative instances. GP also achieved a perfect Precision of 1.00, showing high predictive reliability.