Fig. 4From: Machine learning for predicting neurodegenerative diseases in the general older population: a cohort studyTime-dependent assessment of models predicting new events of neurodegenerative diseases. The curves represent the evolution of the performance assessed with time-dependent AUC, balanced accuracy, sensitivity and specificity for each of the five models. Panel A: The average of AUC from 40 imputed test datasets in 4, 6, 8, 10 and 12 years after the enrolment. Panel B: The average of balanced accuracy from 40 imputed test datasets in 4, 6, 8, 10 and 12 years after the enrolment. Panel C: The average of sensitivity from 40 imputed test datasets in 4, 6, 8, 10 and 12 years after the enrolment. Panel D: The average of specificity from 40 imputed test datasets in 4, 6, 8, 10 and 12 years after the enrolmentBack to article page