Fig. 3

Accuracy measures obtained for the 1000 sparse logistic regression models generated via EN and the twiner regularization (MSE, mean squared error; AUC, area under the curve), for the train and test sets, considering the ‘T-core/periphery vs. N-periphery’ case study (Model III)