Table 16.

Hyperparameters optimized for each model.

Hyperparameters Used for Grid Search
Model	Parameters
SVM	C = 1, Gamma = 0.01, Kernel = Linear
KNN	Distance Metric = Manhattan, Neighbours = 4, Weights = Distance
Random Forest	Number of estimators = (10, 25, 50, 75, 100), ‘learning rate’ = (0.5, 1.0, 1.5)