From: A machine learning framework for genotyping the structural variations with copy number variant
 | Coverage | InsertSize | The proposed method | G-Features+M-SVM | G-Features+NB | M-SVM | NB |
---|---|---|---|---|---|---|---|
1 | 472 × | 216 | 0.8875 | 0.9851 | 0.9777 | 0.9880 | 0.9777 |
2 | 396 × | 213 | 0.8917 | 0.9098 | 0.9031 | 0.9469 | 0.9317 |
3 | 394 × | 223 | 0.9083 | 0.6265 | 0.5513 | 0.7493 | 0.6766 |
4 | 291 × | 175 | 0.9082 | 0.6403 | 0.6839 | 0.7089 | 0.8582 |
5 | 448 × | 214 | 0.9000 | 0.6299 | 0.7254 | 0.7444 | 0.6886 |
6 | 460 × | 210 | 0.9167 | 0.5881 | 0.3415 | 0.6502 | 0.3589 |
7 | 402 × | 202 | 0.7258 | 0.4603 | 0.4632 | 0.6361 | 0.6217 |
8 | 422 × | 207 | 0.8917 | 0.7444 | 0.7439 | 0.7660 | 0.7469 |
9 | 369 × | 215 | 0.9083 | 0.9234 | 0.7667 | 0.9336 | 0.9669 |
Average | 0.8820 | 0.7230 | 0.6840 | 0.7914 | 0.7585 | ||
Range | 0.1909 | 0.5248 | 0.6362 | 0.3519 | 0.6188 |