Figure 4 ROC curve for ensemble analysis
Precision, sensitivity, specificity, G-Mean= sqrt
(Sensitivity×Specificity), F1-Score, area under ROC curve AUC and other
parameters together were used as predictive evaluation indicators.
ARF-OOBEE and 6 machine learning algorithms for comparative experiments,
including Naive Bayes (NB), Support Vector Machine (SVM), Logistic
Regression (LR), Multilayer Perceptron (MLP), Deep Forest (GCForest),
eXtreme Gradient boosting (XGBoost).