Fig. 4

Radar charts of ML model performance metrics. Note: Because of data limitations, all five models studied by Dexheimer JW were missing accuracy, with the SVM also missing AUC; the NB model studied by Farion KJ was missing AUC; and the BN model studied by Sanders DL was missing accuracy. BN, Bayesian Network; MMHC, Max-Min Hill-Climbing; ANN, Artificial Neural Network; GP, Gaussian process; SVM, Support Vector Machine; NB, Naive Bayes model; RF, Random Forest; DT, Decision Tree; KNN, K- Nearest Neighbor; DS, Decision stumps; DNN, Deep Neural Network