Table 3.

Confusion matrix of the support vector machine classifier with the highest accuracy.^a

Actual class	Predicted class
	TDb	ASDc
TD	TNd=20	FPe=0
ASD	FNf=3	TPg=16

^aAccuracy=TP+TN/TP+FP+FN+TN; sensitivity=TP/TP+FN; specificity=TN/FP+TN.

^bTD: typical development.

^cASD: autism spectrum disorder.

^dTN: true negative.

^eFP: false positive.

^fFN: false negative.

^gTP: true positive.