Fig. 6
From: Deep learning diagnosis plus kinematic severity assessments of neurodivergent disorders
Receiver operating characteristics (ROC) for the final training evaluated on the test set. The ROC curves for different conditions are shown in a one-vs-rest approach when considering 5-Fold cross validation and using all kinematic variables data sets. The corresponding Area Under the Curve (AUC) for each is shown in the legend. As the curves tend to the top right corner, they approach a perfect classifier area of the ROC (an AUC of 1.0).
