Table 2. Type 2 helper T-cell signature training set prediction.

AUC	Sens	Spec	AUCSD	SensSD	SpecSD	Model
0.795	0.642	0.869	0.108	0.194	0.114	Random forest
0.772	0.500	0.840	0.090	0.208	0.192	Linear discriminant
0.754	0.636	0.808	0.08	0.152	0.095	Penalized logistic regression
0.753	0.624	0.832	0.097	0.173	0.136	Bagged CART
0.736	0.546	0.796	0.093	0.119	0.098	Sparse discriminant analysis
0.729	0.633	0.730	0.116	0.276	0.230	Naive Bayes
0.717	0.613	0.740	0.091	0.199	0.138	CART
0.701	0.666	0.762	0.114	0.209	0.126	Penalized discriminant analysis

AUC, area under the curve; Sens, sensitivity; Spec, specificity; AUCSD, area under the curve standard deviation; SensSD, sensitivity standard deviation; SpecSD, specificity standard deviation; CART, classification and regression tree