Table 8 Machine learning experiment test results on the separated exonic and intronic mutations
From: Statistical representation models for mutation information within genomic data
Mutation Set | Accuracy | F-Score | Precision | Recall | Roc-Auc | FPR |
|---|---|---|---|---|---|---|
exonic | 54.56 ± 1.18 | 55.52 ± 0.96 | 56.52 ± 0.83 | 54.56 ± 1.18 | 0.67 ± 0.01 | 5.44 ± 0.17 |
intronic | 74.39 ± 1.58 | 75.54 ± 1.30 | 76.74 ± 1.10 | 74.39 ± 1.58 | 0.83 ± 0.01 | 2.91 ± 0.33 |
all | 76.44 ± 0.66 | 76.95 ± 0.68 | 77.48 ± 0.78 | 76.44 ± 0.66 | 0.86 ± 0.02 | 2.75 ± 0.13 |