Identification of male schizophrenia patients using brain morphology based on machine learning algorithms

Table 4 Performance of each machine learning algorithm

Algorithms	AUC	Balanced accuracy, %	Sensitivity	Specificity
GLM	0.728 (0.470-0.986)	61.84	0.737	0.500
RF	0.886 (0.754-1.000)	64.04	0.947	0.333
KNN	0.601 (0.257-0.945)	55.70	0.947	0.167
SVM	0.842 (0.670-1.000)	50.00	1.000	0.000

AUC: Area under receiver operating characteristic curves; GLM: General linear model; RF: Random forest; KNN: K-nearest neighbor; SVM: Support vector machine.