Table 3 Prediction performance results
From: Interpretable instance disease prediction based on causal feature selection and effect analysis
Datasets | Method | AUROC | AUPRC | ACC |
|---|---|---|---|---|
Obesity | XGBOOST | 0.898 ± 0.04 | 0.915 ± 0.02 | 0.855 ± 0.06 |
LR With LASSO | 0.840 ± 0.05 | 0.92 ± 0.03 | 0.834 ± 0.01 | |
Neural network | 0.839 ± 0.02 | 0.89 ± 0.01 | 0.831 ± 0.01 | |
SVM | 0.810 ± 0.01 | 0.83 ± 0.02 | 0.82 ± 0.02 | |
With our model | 0.840 ± 0.04 | 0.900 ± 0.02 | 0.836 ± 0.06 |