Skip to main content
. Author manuscript; available in PMC: 2024 Feb 1.
Published in final edited form as: Cornea. 2022 Oct 17;42(2):217–223. doi: 10.1097/ICO.0000000000003129

Table 3.

Random forest model diagnostics for predicting presenting visual impairment (VI)

Baseline Visual Impairment
Model Diagnostic Affected or Worse Eye* Affected or Better Eye*
Estimate (95% CI) Estimate (95% CI)
Misclassification 0.20 (0.17, 0.23) 0.17 (0.14, 0.20)
AUC 0.84 (0.81, 0.88) 0.88 (0.85, 0.91)
Sensitivity 0.70 (0.65, 0.76) 0.77 (0.72, 0.82)
Specificity 0.89 (0.85, 0.92) 0.88 (0.84, 0.91)
PPV 0.84 (0.79, 0.88) 0.83 (0.78, 0.88)
NPV 0.78 (0.74, 0.82) 0.83 (0.79, 0.87)

CI, Confidence Interval; AUC, Area Under the Curve; PPV, Positive Predictive Value; NPV, Negative Predictive Value

*

In patients with unilateral infections the affected eye was analyzed, in patients with bilateral infection analyses were performed separately by including either the better or worse eye