Table 5.

Confusion matrix for refractive error classification of our deep convolutional neural network.

Ground truth	Predictive value							Accuracy (%)
	≤−5.0 Da	>−5.0 D and ≤−3.0 D	>−3.0 D and ≤−0.5 D	>−0.5 D and <+0.5 D	≥+0.5 D and <+3.0 D	≥+3.0 D and <+5.0 D	≥+5.0 D
≤−5.0 D	20b	3	2	0	0	0	0		80.0
>−5.0 D and ≤−3.0 D	1	14b	2	0	1	0	0		77.8
>−3.0 D and ≤−0.5 D	1	4	41b	4	0	0	0		82.0
>−0.5 D and <+0.5 D	0	0	5	70b	8	1	0		83.3
≥+0.5 D and <+3.0 D	0	0	1	10	72b	4	0		82.8
≥+3.0 D and <+5.0 D	0	0	0	1	4	23b	1		79.3
≥+5.0 D	0	0	0	0	1	2	9b		75.0
Overall accuracy (%)	—c	—	—	—	—	—	—		81.6

^aD: diopter.

^bNumber of correct predictions of our deep convolutional neural network.

^cNot applicable.