Table 1.
Accuracy Indexes
| Category | Predictor | Raw Accuracy | Balanced accuracy | F1-score | Matthew’s correlation coefficient |
|---|---|---|---|---|---|
| B | SIFT | 0.749 | 0.549 | 0.241 | 0.092 |
| B | LRT | 0.794 | 0.576 | 0.280 | 0.162 |
| B | MutationAssessor | 0.191 | 0.460 | 0.247 | −0.106 |
| B | FATHMM | 0.846 | 0.500 | 0.000 | 0.000 |
| B | PROVEAN | 0.737 | 0.557 | 0.258 | 0.103 |
| Meta | MetaSVM | 0.846 | 0.500 | 0.000 | 0.000 |
| Meta | MetaLR | 0.846 | 0.500 | 0.000 | 0.000 |
| Meta | M-CAP | 0.846 | 0.500 | 0.000 | 0.000 |
| ML | Polyphen2_HDIV | 0.771 | 0.592 | 0.310 | 0.175 |
| ML | Polyphen2_HVAR | 0.691 | 0.621 | 0.341 | 0.188 |
| ML | MutationTaster | 0.194 | 0.433 | 0.230 | −0.156 |
| ML | FATHMM-MKL | 0.829 | 0.505 | 0.063 | 0.022 |
Accuracy indexes measuring the ability to differentiate severe from mild GLA mutations for all the predictors used by wANNOVAR. Categories are B for “biologically based prediction method”, ML for “Machine Learning based prediction method”, and Meta for “Meta prediction method”