Table 4.

Optimal hyperparameters used in the algorithms.

Algorithms	Optimal Parameters
Artificial neural network	Batch size = 5, epochs = 20
Support vector machine	default
Logistic regression	C = 10
Random forest	default
XGBoost	number of estimators = 20
AdaBoost	number of estimators = 300, learning rate = 0.01