Table 3.

Prediction Rate of the Four Machine Learning Techniques Using the Singapore “I” Vessel Assessment Data (n = 144)

	Discriminant Analysis	KNN	Naïve Bayes	Decision Tree	P Value
Syntax score	94.94 ± 0.74	95.83 ± 1.19	96.28 ± 1.21	95.34 ± 0.42	<0.01
AHA risk score	72.82 ± 4.68	79.22 ± 5.55	80.61 ± 4.24	74.50 ± 6.62	<0.01
SCORE risk	65.33 ± 3.25	70.54 ± 8.56	74.36 ± 6.17	66.42 ± 8.87	<0.01
Age	54.56 ± 4.65	66.27 ± 10.06	54.56 ± 4.65	63.69 ± 7.32	<0.01
Sex, male	79.66 ± 0.74	79.22 ± 12.86	84.47 ± 6.14	78.77 ± 7.89	0.09
High blood pressure history	59.03 ± 4.73	64.83 ± 10.74	67.71 ± 8.51	66.52 ± 7.08	<0.01
Diabetes mellitus history	74.21 ± 3.62	80.36 ± 5.31	82.29 ± 6.60	72.87 ± 6.27	<0.01
Hypercholesterolemia	60.22 ± 3.90	69.84 ± 9.27	69.94 ± 9.55	63.89 ± 8.85	<0.01
Current smoking	44.94 ± 5.60	54.02 ± 15.92	59.62 ± 16.82	50.79 ± 11.88	<0.01
Body mass index	47.47 ± 5.25	59.87 ± 10.84	60.86 ± 14.48	53.08 ± 9.48	<0.01

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