Table 3. Performance of consensus classifiers with PMD-UNIPROT and MMP datasets.
Performance metricsa | PMD-UNIPROT | MMP | |||||
CONDEL | Meta-SNP | PredictSNP | CONDEL | Meta-SNP | PredictSNP | ||
Percent of evaluated mutations | 100.0 | 100.0 | 100.0 | 100.0 | 99.7 | 100.0 | |
Accuracyb | 0.562 | 0.670 | 0.679 | 0.640 | 0.673 | 0.708 | |
Matthews correlation coefficientb | 0.202 | 0.343 | 0.366 | 0.349 | 0.351 | 0.433 | |
Area under the receiver operating characteristics curveb | 0.755 | 0.709 | 0.732 | 0.770 | 0.730 | 0.780 |
– detailed evaluation is available in Table S12;
– these metrics were calculated with normalized numbers.