Table 2.

Model performance with data augmentation on validation data set.

Aug.	Type	TP	FN	FP	TN	Acc.	Sen.	Spec.	F1
None	–	44	35	6	146	0.82	0.56	0.96	0.68
2 × ON	Vert.	44	35	5	147	0.83	0.56	0.97	0.69
2 × ON	Vert. – Horiz.	42	37	2	150	0.83	0.53	0.99	0.68
4 × ON – 2 × HC	Vert.	45	34	11	141	0.81	0.57	0.93	0.67
4 × ON – 2 × HC	Vert. – Horiz.	43	36	5	147	0.82	0.54	0.97	0.68

The best result for each evaluation metric is highlighted in bold. Acc., accuracy; F1, F1 score; FN, false negative; FP, false positive; HC, healthy controls—negative class; Horiz., horizontal shift; ON, optic neuritis—positive class; Sen., sensitivity; Spec., specificity; TP, true positive; TN, true negative; Vert., vertical shift.