Table 8 Hyperparameters used by each algorithm to train the model
Algorithms | Optimal hyperparameters (standard set) | Optimal hyperparameters (augmented set) |
|---|---|---|
LR | 'C': 1.0, 'penalty': 'l2', 'solver': 'newton-cg' | 'C': 1.0, 'penalty': 'l1', 'solver': 'liblinear' |
SVM | 'C': 3, 'degree': 3, 'kernel': 'rbf' | 'C': 5, 'degree': 3, 'kernel': 'rbf' |
XGB | 'eta': 0.3, 'max_depth': 3, 'objective': 'binary:logistic' | 'eta': 0.3, 'max_depth': 3, 'objective': 'binary:logitraw' |