Model type | F1 scores (SD) | Precision | Recall | AUROC | Accuracy (%) | PPV (%) | NPV (%) |
---|---|---|---|---|---|---|---|
GNN | .6502 (.0356) | .6369 | .6654 | .7022 | 64.43 | 64.24 | 65.37 |
RNN | .5991 (.0430) | .6502 | .5566 | .6611 | 62.82 | 64.76 | 61.03 |
XGBoost | .6032 (.0437) | .6414 | .5707 | .6919 | 62.89 | 65.49 | 62.08 |
Decision tree | .5779 (.0462) | .5838 | .5736 | .5908 | 58.64 | 59.36 | 58.76 |
Logistic regression | .5828 (.0415) | .6166 | .5538 | .6455 | 60.58 | 62.22 | 59.84 |