Table 5 Performance of stacking models
From: Development of glaucoma predictive model and risk factors assessment based on supervised models
|  | %Acc (Mean ± std) | %Spe (Mean ± std) | %Sen (Mean ± std) | %Sen (CI 95 %) | %F_score (Mean ± std) |
|---|---|---|---|---|---|
Stacking Ensemble trained with all features | 83.56 ± 1.35 | 82.21 ± 1.75 | 81.32 ± 10.39 | (80.07, 83.26) | 80.98 ± 6.65 |
Stacking ensemble trained with top-ranked features | 83.01± 1.98 | 83.00± 2.10 | 83.17± 12.03 | (81.80,84.54) | 82.58 ± 6.34 |