Figure 2.

A-C, Random forest and decision tree assesses the prediction of the “excessively sleepy” subtype vs all others with the use of sleepiness-related symptom items, in all cohorts. A, Variable importance scores of the full model with the use of all eight sleepiness-related symptoms items. B, Balanced accuracy of sequential models that include the most important to the least important symptom item in order of importance, in both training and testing samples, using a 5-fold cross-validation design. C, A decision tree fit with the top five sleepiness-related questions to illustrate the clinical applicability of the identification of the “excessively sleepy” subtype with the use of these questions. CV = cross-validation; ESS = Epworth Sleepiness Scale; VIMP = random forest variable importance