Table 1 Results of SVM prediction on independent test sets
From: SVM-based prediction of linear B-cell epitopes using Bayes Feature Extraction
SVM Classifier* | Sensitivity (%) | Specificity (%) | Accuracy (%) | AROC |
|---|---|---|---|---|
SVM12 | 59.00 | 54.00 | 56.50 | 0.60 |
SVM14 | 60.00 | 51.00 | 55.50 | 0.62 |
SVM16 | 62.00 | 47.00 | 54.50 | 0.59 |
SVM18 | 62.00 | 57.00 | 59.50 | 0.67 |
SVM20 | 54.00 | 62.00 | 58.00 | 0.64 |
BFE-SVM12 | 70.00 | 64.00 | 67.00 | 0.71 |
BFE-SVM14 | 63.00 | 69.00 | 66.00 | 0.73 |
BFE-SVM16 | 73.00 | 62.00 | 67.50 | 0.73 |
BFE-SVM18 | 70.00 | 69.00 | 69.50 | 0.80 |
BFE-SVM20 | 81.00 | 68.00 | 74.50 | 0.84 |
BFE-Chen | 70.00 | 67.00 | 68.50 | 0.74 |