Table 2.

Prediction Rate of the Four Machine Learning Techniques Using the Optical Coherence Tomography Angiography Data (n = 144)

	Discriminant Analysis	KNN	Naïve Bayes	Decision Tree	P Value
Syntax score	95.19 ± 0.74	96.13 ± 1.08	96.23 ± 1.88	95.19 ± 0.19	0.01
AHA risk score	74.40 ± 1.33	76.09 ± 3.08	80.31 ± 4.14	74.65 ± 2.34	<0.01
SCORE risk	73.02 ± 1.36	76.16 ± 6.33	76.19 ± 5.30	73.36 ± 3.24	0.02
Age	63.05 ± 1.62	70.34 ± 8.55	73.07 ± 8.26	68.60 ± 6.42	<0.01
Sex, male	77.63 ± 5.47	77.43 ± 7.49	77.63 ± 5,47	77.28 ± 8.27	<0.01
High blood pressure history	53.62 ± 3.68	67.56 ± 8.30	69.79 ± 10.19	62.45 ± 7.85	<0.01
Diabetes mellitus history	75.45 ± 2.30	78.08 ± 5.83	75.45 ± 2.30	73.91 ± 5.17	<0.01
Hypercholesterolemia	56.15 ± 3.82	70.44 ± 11.16	66.47 ± 9.06	59.72 ± 6.41	<0.01
Current smoking	46.43 ± 4.55	56.00 ±12.70	59.52 ± 13.06	48.86 ± 10.08	<0.01
Body mass index	40.53 ± 9.32	58.23 ±11.95	58.98 ± 12.97	51.14 ± 10.86	<0.01

The prediction rates (%) are displayed as mean and standard deviation (M ± SD).