Figure 4. AUC results of classification analysis (minimal clinically important difference < 5.5 versus ≥ 5.5).

Violin plots show the median, 1^st and 3^rd quartile, minimum and maximum value of the AUC distribution calculated by five machine learning methods (Elastic-Net (EN) = green, Random Forest (RF) = yellow, Artificial Neural Network (ANN) = purple, Support Vector Machines (SVM) = blue and Classification And Regression Trees (CART) = pink, Logistic Regression (LR)= gray) using (A) clinical, (B) clinical + regional disconnectivity and (C) clinical + pair-wise disconnectivity datasets. A significant difference between the performances of two methods was shown with a star above the violin plots.