Table 2.
Evaluation result for OHCA survival outcome prediction across multiple models
| Metrics | Models |
||||||
|---|---|---|---|---|---|---|---|
| Metrics | RandomForest | GBDT | LightGBM | XGBoost | SVC | SpatialRF | SEP |
| Precision | 0.384 | 0.415 | 0.417 | 0.400 | 0.405 | - | 0.440 |
| Recall | 0.501 | 0.583 | 0.579 | 0.570 | 0.576 | - | 0.625 |
| F1 | 0.435 | 0.485 | 0.485 | 0.470 | 0.476 | - | 0.517 |
| AUCROC | 0.571 | 0.622 | 0.616 | 0.599 | 0.609 | 0.619 | 0.682 |
| AUCPR | 0.386 | 0.444 | 0.447 | 0.418 | 0.419 | - | 0.469 |
*
The bold numbers indicate the highest performance per metric, the numbers underlined represent the second-highest performance. SEP represents the Spatially Explicit Health Outcome Prediction model. The hyphen (−) means the metric calculation in SpatialRF is not provided.