Table 2.
Training and running times of our methods. Training includes training a model on the entire synthetic dataset. Running involves genotype-correcting a single VCF file (96,000 variants) with a pre-trained model. The benchmarks were run on an Intel i5-7200U CPU @ 2.5 GHz.
| Training time | |
|---|---|
| Logistic regression | 67 s |
| XGBoost | 552 s |
| Training time | |
|---|---|
| Logistic regression | 0.03 s |
| XGBoost | 0.67 s |
| Restricted Bayesian | 0.12 s |