Algorithm | Accuracy | Sensitivity | Specificity | Precision | NPV | MCC |
---|
DDIG-in | 83 | - | - | - | - | 0.67 |
SIFT-Indel | 82 | 81 | 82 | 82 | - | 0.63 |
KD4i (SVM) | 84 | 80 | 87 | 88 | 79 | 0.67 |
KD4i (ILP) (average) | 79 | 89 | 69 | 75 | 85 | 0.59 |
KD4i (ILP) (final) | 83 | 93 | 74 | 78 | 91 | 0.68 |
- For the KD4i (ILP) implementation, the average performances in the 10-fold cross-validation and the performance of the final selected rule set (corresponding to fold 1 in Table 5) are provided. For DDIG-in and SIFT-Indel, the performances for combined insertions and deletions (as originally reported by the authors, for similar balanced data sets) are shown.