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).