Classification on PhysioNet Challenge 2016
89.105AccuracyBayesian ResNet
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Bayesian ResNetProtocol=10-Folds2025.09 | 89.105 | 142,997 | 9,455 | |
| Knowledge Distillation CNNProtocol=10-Folds2025.09 | 88.58 | 32,808 | 289 | |
| VGG16Protocol=10-Folds2025.09 | 88.271 | 165,840 | 605 | |
| HDC-XProtocol=10-Folds2025.09 | 88.18 | 246 | 27 | |
| ViT + CNNProtocol=10-Folds2025.09 | 87.808 | 889,920 | 1,661 | |
| Light CNNProtocol=10-Folds2025.09 | 87.408 | 10,164 | 227 | |
| Pruned Bayesian ResNetProtocol=10-Folds2025.09 | 87.19 | 142,997 | 3,307 | |
| HDClusterProtocol=10-Folds2025.09 | 79.877 | 318 | 50 | |
| HDCProtocol=10-Folds2025.09 | 77.84 | 135 | 26 | |
| Class-Wise K-MeansProtocol=10-Folds2025.09 | 76.759 | 9 | — |