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;
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