Extended Data Fig. 2. Model design and training architecture.

a) Illustration of Logistic Regression (LR) and signature scoring models, hyperparameters and outputs (see Methods). The tables describe the 21 models. b) Illustration of the nested-cross-validation framework to train and evaluate the models. Here we adapt a leave-one-patient-out approach to better simulate the model performance on new data from a new patient (see Methods). In box plots, the boxes represent the median and the interquartile range (IQR), while the whiskers extend to 1.5 times the IQR.