Extended Data Fig. 6: Model performance on test and training data.
From: Personal clinical history predicts antibiotic resistance of urinary tract infections

AUC for receiver operator characteristic for prediction of resistance based on demographics, sample history and purchase history, individually and in a complete model combining all feature sets. Each feature set was modeled using LR, and the complete model was modeled by both LR and GBDT. To identify overfitting, model performance on the testing data set (gray) was contrasted with model performance on the training data set (black; Extended Data Fig. 1 for definition of training and test time periods). A low level of overfitting is seen for all drugs except trimethoprim, which showed no overfitting. See Supplementary Fig. 4 for feature importance in GBDT models.