Research Article
The Construction of Support Vector Machine Classifier Using the Firefly Algorithm
Table 5
Performance evaluation for each disease group.
| Method used | Sensitivity (%) | Specificity (%) | False negative rate (%) | Accuracy (%) |
| Method 1: firefly-SVM based OAA-FSVM | 2.5 | 92.50 ± 1.37 | () Normal | 93.10 | 90.00 | | | () Inflammation tendon | 93.10 | 96.42 | | | () Calcific tendon | 96.67 | 93.10 | | | () Supraspinatus tear | 100.00 | 100.00 | | |
| Method 2: original OAA-FSVM trained by LIBSVM | 3.33 | 89.10 ± 2.49 | () Normal | 83.33 | 95.56 | | | () Inflammation tendon | 86.67 | 95.56 | | | () Calcific tendon | 90.00 | 96.67 | | | () Supraspinatus tear | 100.00 | 100.00 | | |
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