FIGURE 5.

Model development pipeline. First, we extracted feature matrix (X) and target array (y) from EEG recordings and SPSL surveys, respectively. Later, for every participant, we splitted these data structures into training and test set. Then, we performed grid search cross-validation to find the best set of hyperparameters for the four regressors considered. Subsequently, we refitted the regressor with best hyperparameters on the training set, and we assessed the model on the test set.