Figure 6 .

Schematic representation of nested cross-validation procedure. The outer loop splits the sample into five parts, four parts are used as a training sample for hyperparameter optimization, and the resulting model is then used to predict the outcome in the remaining part (test sample). This process is repeated until predictions are available for all parts of the sample. Hyperparameter optimization is carried out within the inner loop, which consists of 10-fold cross validation.