Table 2.

Summary of classification performance of features (PPV, positive predictive value; NPV, negative predictive value).

Gaze test	Feature	Accuracy (%)	PPV	NPV	AUC ROC
Dominant eccentric
	FP period*	78.3	0.667	0.909	0.788
	Amp (max)	73.9	0.500	1.0	0.742
	FA (max)*	73.9	0.833	0.636	0.735
	Amp (std)	73.9	0.500	1.0	0.674
	SP vel (std)	73.9	0.833	0.636	0.644
	SP period (std)	69.6	0.750	0.636	0.659
Weaker eccentric
	I (min)*	78.3	0.833	0.727	0.788
	Freq (min)	73.9	0.917	0.545	0.788
	Amp (min)	69.6	0.833	0.545	0.682
	SP period*	69.6	0.500	0.909	0.667
	SP period (std)	69.6	0.583	0.818	0.659
	Freq (std)	69.6	0.750	0.636	0.523
Primary
	SP period (std)*	82.6	0.833	0.818	0.871
	FP period*	82.6	1.0	0.636	0.780
	SP-FP vel ratio	78.3	0.583	1.0	0.833
	SP vel	78.3	0.667	0.909	0.811
	SP-FP period ratio	78.3	0.583	1.0	0.795
	Freq (min)	78.3	0.583	1.0	0.780

*Indicates features selected as inputs to the support vector machine. Bold values show highest scores.