Table 1.
Machine learning algorithm accuracy.
| Method | RMSE1 | RMSE2 | RMSE3 | M3DE |
|---|---|---|---|---|
| GBM, linear | 0.100 | 0.087 | 0.095 | 0.136 |
| GBM, spline | 0.081 | 0.063 | 0.084 | 0.105 |
| GBM, stumps | 0.079 | 0.063 | 0.085 | 0.104 |
| GBM, trees, d = 4 | 0.063 | 0.054 | 0.066 | 0.081 |
| Linear regression | 0.100 | 0.087 | 0.095 | 0.136 |
| Support vector machine | 0.076 | 0.069 | 0.084 | 0.100 |
| Random forests | 0.062 | 0.054 | 0.067 | 0.081 |