Cardiovascular Disease Detection on UCI Heart Disease (5-fold stratified CV)
86.1AccuracyResidual GRU+MHSA
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Residual GRU+MHSACategory=Hybrid deep baselines2025.12 | 86.1 | 86 | 90.8 | 90.4 | |
| LSTM-TransformerCategory=Hybrid deep baselines2025.12 | 85.8 | 85.6 | 90.7 | 90.7 | |
| GaussianNBCategory=Classical baselines2025.12 | 85.5 | 85.3 | 90.2 | 89.5 | |
| DeepMLPCategory=Deep learning baselines2025.12 | 85.5 | 85.2 | 90.2 | 90.7 | |
| CNN-LSTMCategory=Hybrid deep baselines2025.12 | 85.5 | 85.2 | 89 | 89.2 | |
| StackedLSTMCategory=Deep learning baselines2025.12 | 85.1 | 84.9 | 89.1 | 89.3 | |
| StackedGRUCategory=Deep learning baselines2025.12 | 85.1 | 84.8 | 89.7 | 89.9 | |
| DeepTransformerCategory=Deep learning baselines2025.12 | 84.8 | 84.7 | 90.9 | 91.2 | |
| CNN-GRUCategory=Hybrid deep baselines2025.12 | 84.5 | 84.2 | 88.8 | 88.9 | |
| SVM (RBF)Category=Classical baselines2025.12 | 83.8 | 83.5 | 89.8 | 90 | |
| DeepCNN1DCategory=Deep learning baselines2025.12 | 83.5 | 83.3 | 89 | 89.1 | |
| Logistic RegressionCategory=Classical baselines2025.12 | 83.2 | 83 | 91.2 | 90.8 | |
| Extra TreesCategory=Classical baselines2025.12 | 82.2 | 82 | 91.5 | 89.5 | |
| Random ForestCategory=Classical baselines2025.12 | 82.2 | 81.9 | 91 | 90.7 | |
| kNNCategory=Classical baselines2025.12 | 81.8 | 81.6 | 90.3 | 88 | |
| Gradient BoostingCategory=Classical baselines2025.12 | 80.2 | 79.9 | 88.6 | 87.6 | |
| Decision TreeCategory=Classical baselines2025.12 | 76.5 | 76.4 | 76.6 | 67.6 |