Table 2 Results of AMD classification based on geostatistical features
Feature | Fold | Sensitivity (%) | Specificity (%) | Accuracy (%) | AUROC | Kappa |
|---|---|---|---|---|---|---|
TR (SV) | Average | 76.0 | 42.3 | 65.8 | 0.576 | 0.180 |
Std | 5.7 | 10.2 | 4.7 | 0.071 | 0.101 | |
Max acc | 84.5 | 61.1 | 78.9 | 0.306 | 0.439 | |
Max kappa | 84.5 | 61.1 | 78.9 | 0.306 | 0.439 | |
TR (SM) | Average | 91.9 | 26.0 | 71.7 | 0.756 | 0.204 |
Std | 5.7 | 13.9 | 5.3 | 0.052 | 0.123 | |
Max acc | 96.7 | 50.0 | 86.8 | 0.846 | 0.541 | |
Max kappa | 91.2 | 63.2 | 84.2 | 0.821 | 0.564 | |
NSR (SV) | average | 88.8 | 65.7 | 81.9 | 0.802 | 0.554 |
Std | 4.1 | 9.6 | 3.8 | 0.060 | 0.091 | |
Max acc | 96.5 | 80.0 | 92.2 | 0.861 | 0.791 | |
Max kappa | 96.5 | 80.0 | 92.2 | 0.861 | 0.791 | |
NSR (SM) | Average | 90.0 | 84.3 | 88.3 | 0.950 | 0.724 |
Std | 4.0 | 7.0 | 3.2 | 0.023 | 0.076 | |
Max acc | 98.2 | 95.5 | 97.4 | 0.993 | 0.936 | |
Max kappa | 98.0 | 96.3 | 97.4 | 0.996 | 0.943 | |
RPEDC (SV) | Average | 94.2 | 97.5 | 95.2 | 0.989 | 0.886 |
Std | 3.1 | 3.2 | 2.3 | 0.010 | 0.054 | |
Max acc | 100.0 | 100.0 | 100.0 | 1.000 | 1.000 | |
Max kappa | 100.0 | 100.0 | 100.0 | 1.000 | 1.000 | |
RPEDC (SM) | Average | 90.2 | 91.6 | 90.5 | 0.977 | 0.780 |
Std | 4.5 | 7.5 | 3.5 | 0.014 | 0.080 | |
Max acc | 100.0 | 95.7 | 98.7 | 0.999 | 0.969 | |
Max kappa | 98.0 | 100.0 | 98.7 | 0.992 | 0.971 | |
RPEDC en face (SV) | Average | 100.0 | 0.0 | 70.2 | 0.505 | 0.000 |
Std | 0.0 | 0.0 | 4.7 | 0.008 | 0.000 | |
Max acc | 100.0 | 0.0 | 84.4 | 0.542 | 0.000 | |
Max kappa | 100.0 | 0.0 | 71.4 | 0.500 | 0.000 | |
RPEDC en face (SM) | Average | 90.2 | 41.5 | 75.5 | 0.778 | 0.347 |
Std | 4.7 | 10.1 | 4.3 | 0.051 | 0.098 | |
Max acc | 95.1 | 62.5 | 88.3 | 0.844 | 0.619 | |
Max kappa | 95.1 | 62.5 | 88.3 | 0.844 | 0.619 |