Table 7 Model performance in FAERS_SI dataset
Method | Binary classification | Regression | ||
|---|---|---|---|---|
AUROC | AUPRC | RMSE | MAE | |
SDPred | 0.83 ± 0.03 | 0.84 ± 0.02 | 0.81 ± 0.03 | 0.68 ± 0.02 |
SDPred_loss | 0.85 ± 0.02 | 0.86 ± 0.01 | 0.77 ± 0.03 | 0.63 ± 0.04 |
Ridge regression | 0.86 ± 0.01 | 0.85 ± 0.02 | 1.79 ± 0.04 | 1.49 ± 0.04 |
XGBoost | 0.77 ± 0.01 | 0.84 ± 0.02 | 1.76 ± 0.04 | 1.42 ± 0.04 |
MLP | 0.87 ± 0.01 | 0.87 ± 0.01 | 0.85 ± 0.05 | 0.71 ± 0.04 |
\(\hbox {CrossFeat}_{\textrm{MLP}}\) | 0.85 ± 0.01 | 0.86 ± 0.01 | 0.93 ± 0.06 | 0.86 ± 0.03 |
CrossFeat | 0.86 ± 0.01 | 0.87 ± 0.01 | 0.72 ± 0.04 | 0.57 ± 0.02 |