Table 9 Comparison metrics with feature and encoded feature count
From: A machine learning platform for the discovery of materials
Name | F | \(\hbox {F}_{{E}}\) | MAE | RMSE | \(\hbox {R}^{2}\) | 99% |
|---|---|---|---|---|---|---|
Single | 1 | 100 | 0.079572 | 0.297179 | 0.914471 | 3.044744 |
Minimal | 8 | 311 | 0.072204 | 0.300485 | 0.912558 | 3.212371 |
Maximal | 20 | 348 | 0.082444 | 0.311686 | 0.905917 | 3.232445 |