Table 1 The performance of methylation prediction based on different categories of prediction models
From: PretiMeth: precise prediction models for DNA methylation based on single methylation mark
Model | R | RMSE | MAE | SE | SP | MCC | ACC | AUC |
|---|---|---|---|---|---|---|---|---|
All | 0.93 | 0.10 | 0.07 | 0.95 | 0.87 | 0.83 | 0.93 | 0.97 |
Super high accurate | 0.99 | 0.03 | 0.02 | 0.99 | 0.99 | 0.99 | 0.99 | 0.99 |
High accurate | 0.96 | 0.07 | 0.05 | 0.98 | 0.93 | 0.92 | 0.97 | 0.98 |
Medium accurate | 0.88 | 0.11 | 0.08 | 0.93 | 0.82 | 0.76 | 0.90 | 0.95 |
Low accurate | 0.79 | 0.15 | 0.11 | 0.86 | 0.80 | 0.66 | 0.85 | 0.90 |