Research Article
Anterior Chamber Angle Shape Analysis and Classification of Glaucoma in SS-OCT Images
Table 4
Accuracy of fuzzy kNN versus the accuracy of common classification models.
| Classifier
| Accuracy (%) | Error rate (%) | Sensitivity (%) | Specificity (%) | AUC | Mean | SD | Mean | SD | Mean | SD | Mean | SD | Mean | SD |
| LDA | 81.09 | 4.55 | 18.90 | 4.55 | 80.94 | 4.84 | 81.59 | 8.16 | 0.812 | 0.05 | kNN () | 85.80 | 5.16 | 14.19 | 5.16 | 90.10 | 5.77 | 71.82 | 5.41 | 0.80 | 0.04 | SVM | 83.26 | 4.74 | 16.73 | 4.74 | 87.78 | 7.92 | 68.40 | 9.29 | 0.78 | 0.03 | fkNN () | 99.11 | 0.76 | 0.89 | 0.76 | 99.99 | 0.24 | 96.11 | 0.24 | 0.98 | 0.012 |
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