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. 2021 Sep 28;9:135697–135707. doi: 10.1109/ACCESS.2021.3116067

TABLE 1. Hyper-Parameters of Each Classifier.

Classifier Parameters
KNN n_neighbors=10.
RF n_estimators=100; max_depth=6; max_features=0.2.
XGboost n_estimators=100; learning_rate=0.3; objective=multi:softprob; subsample=0.5.
Bagging n_estimators=100; base_estimator=DecisionTree; max_features=0.2; max_samples=0.9.
ET n_estimators=100; max_features=0.2; min_samples_split=15.
SVM kernel=rbf; Inline graphic=3; gamma=0.1.