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