Decision Tree Ensembles to Predict Coronavirus Disease 2019 Infection: A Comparative Study

Table 1

Decision tree ensembles and the related packages.

Classifier	Package
Single decision tree	Weka
Random forest	Weka
Bagging	Weka
XGBoost	XGBoost (Python)
AdaBoost	Weka
Balanced random forest (RUS)	Imblearn (Python)
SmoteBagging	Ebmc (R)
RUSBagging	Imblearn (Python)
SmoteBoost	Ebmc (R)
RUSBoost	Imblearn (Python)
SMOTE oversampling (single decision tree)	SMOTE (Weka), Weka
SMOTE oversampling random forest	SMOTE (Weka), Weka
SMOTE oversampling Bagging	SMOTE (Weka), Weka
SMOTE oversampling AdaBoost	SMOTE (Weka), Weka
SMOTE oversampling XGBoost	Imblearn (Python), XGBoost (Python)
Random undersampling (single decision tree)	SpreadsubSample (Weka), Weka
RUS random forest	SpreadsubSample (Weka), Weka
RUSBagging	SpreadsubSample (Weka), Weka
RUS XGBoost	Imblearn (Python), XGBoost (Python)
RUS AdaBoost	SpreadsubSample (Weka), Weka