Fig. 3.

Results of the penalized regression model for predicting the PWAT scale values developed starting from the extracted features. The correlation between the ground truth and the predicted values is estimated using Spearman's rank correlation coefficient (ref. plot legends). a Results on a single cross-validation of the model. With the dashed line, we highlight the axes bisector corresponding to a perfect prediction. The model tends to overestimate the low PWAT scale values due to the few samples characterized by this condition. We remark that the predictions are performed on a data set independent of the training set. b Results obtained by the same pipeline on 100 different cross-validations. A tenfold cross-validation was applied in each iteration to estimate Spearman's rank correlation coefficients. c Top ranking features involved in the prediction of PWAT scores. The informative power of the features was estimated using the coefficients of the lasso regression model