Fig. 3

Accuracy, sensitivity and specificity for (a) decision tree and (b) bagging decision tree models. Decision tree models achieved high accuracy, sensitivity and specificity but were influenced by variation in the training dataset. The bagging decision tree model achieves high accuracy, sensitivity and specificity with lower variance between models constructed with different training datasets. For the decision tree models accuracy, sensitivity and specificity plateau with >25% of the data used in training while the performance of the bagging model plateaus with >40% of the data used in training