Table 2 Performance comparison of schemas (1), (2), (3) and (4) with different k.
From: Comparative analysis of image classification methods for automatic diagnosis of ophthalmic images
Schema | Accuracy | Sensitivity | Specificity | |
|---|---|---|---|---|
(1) | 0.5825 ± 0.0336 | 0.3123 ± 0.0853 | 0.8151 ± 0.0227 | |
(2) | 0.7844 ± 0.0337 | 0.5610 ± 0.0585 | 0.9769 ± 0.0144 | |
(3) | 0.8341 ± 0.2788 | 0.7074 ± 0.0822 | 0.9433 ± 0.0325 | |
(4) | k = 5 | 0.6976 ± 0.0241 | 0.5877 ± 0.0391 | 0.7829 ± 0.0603 |
k = 10 | 0.7133 ± 0.0198 | 0.5732 ± 0.0347 | 0.8340 ± 0.0403 | |
k = 20 | 0.7100 ± 0.0293 | 0.5315 ± 0.0118 | 0.8550 ± 0.0359 | |
