Table 4 Prediction performance results
From: Interpretable instance disease prediction based on causal feature selection and effect analysis
Datasets | Method | AUROC | AUPRC | ACC |
|---|---|---|---|---|
Heart failure | XGBOOST | 0.90 ± 0.04 | 0.792 ± 0.02 | 0.870 ± 0.06 |
LR With LASSO | 0.91 ± 0.03 | 0.723 ± 0.02 | 0.90 ± 0.11 | |
Neural network | 0.912 ± 0.02 | 0.791 ± 0.02 | 0.899 ± 0.01 | |
SVM | 0.881 ± 0.01 | 0.781 ± 0.02 | 0.851 ± 0.02 | |
With our model | 0.924 ± 0.04 | 0.808 ± 0.02 | 0.90 ± 0.06 |