Fig 2.

(A) Global variable importance plot demonstrating the relative contribution of an input variable on the overall predictive performance of the ensemble model. (B) Decision curve analysis comparing the complete ensemble algorithm with conventional logistic regression and a simplified ensemble model using only preoperative use as a predictor. The downsloping line marked by “All” plots the net benefit from the default strategy of changing management for all patients, while the horizontal line marked “None” represents the strategy of changing management for none of the patients (net benefit is zero at all thresholds). The “all” line slopes down because at a threshold of zero, false positives are given no weight relative to true positives; as the threshold increased, false positives gain increased weight relative to true positives and the net benefit for the default strategy of changing management for all patients decreases.