Table 5.
Model performance in shock number generation.
| Model | RMSEa | MAEb | t statistic | P value |
| Deep learning | 207 | 121 | 0.350 | .727 |
| Linear regression | 265 | 206 | 0.917 | .359 |
| RFRc | 255 | 158 | 0.628 | .530 |
| SVRd | 350 | 173 | 9.427 | <.001 |
aRMSE: root mean squared error.
bMAE: mean absolute error.
cRFR: random forest regression.
dSVC: support vector regression.