TABLE 2.

Comparison of standard classifier performance metrics (n = 244)

Classifier	Cut point (≥)	Sensitivity (%)	Specificity (%)	Accuracy (%)
C4.5*	1	92	93	93
CLMI	3.00	79	99	90
Z3	0.00233	86	92	89
RM (D)†	47.2 (1.4)	91	81	86
KISA%	100	71	95	83
KPI	0.23	92	59	74

Selected cut points are published values recommended by the author of each classification method.

^*C4.5 classifier performance is estimated by 10-fold cross validation.

^†Reported RM cut points are K-value and (I-S values), respectively.

C4.5, decision tree classifier21; CLMI, Cone Location and Magnitude Index; RM, Modified Rabinowitz–McDonnell Index10; KISA%, K-value, IS-value, and Astigmatism Index10; Z3, third-order Zernike