Table 4.
Model performance in shock rate generation.
| Model | Accuracy | Precision | Recall | F1 | t statistic | P value |
| Deep learning | 0.981 | 0.963 | 0.957 | 0.960 | 0.277 | .782 |
| Logistic regression | 0.978 | 0.932 | 0.960 | 0.945 | 2.331 | .020 |
| RFCa | 0.952 | 0.930 | 0.986 | 0.956 | 2.064 | .039 |
| SVCb | 0.976 | 0.926 | 0.956 | 0.939 | 2.510 | .012 |
aRFC: random forest classifier.
bSVC: support vector classifier.