Table 2.

Classification performance using independent measures.

Study	Measures used	Classifier	Parameters tuned	Accuracy	Sensitivity	Specificity	F1	AUC
1	Subcortical volumes	Support Vector Classifier	Regularization parameter C, Max iterations	72%	79%	57%	0.79	0.68
2	Cortical volumes	Nu-Support Vector Classifier	Regularization parameter C, Max iterations, Kernel	73%	81%	57%	0.73	0.69
3	Cortical surface areas	Support Vector Classifier	Regularization parameter C, Max iterations	73%	77%	65%	0.74	0.72
4	Cortical thickness	Support Vector Classifier	Regularization parameter C, Max iterations	75%	81%	61%	0.75	0.71
5	Cortical mean curvature	Logistic Regression	Regularization parameter C, Max iterations, penalty, solver	70%	73%	65%	0.71	0.69