Image Classification on BloodMNIST 2-way sharded (test)
91Test AccuracyKF-Linear
Evaluation Results
| Method | Links | |
|---|---|---|
| KF-LinearBackbone=VGG, Evaluation Protocol=Zero-shot, Split Configuration=2-way split, Importance Scores=Best result (Uniform, Conductance, or DeepLIFT)2025.06 | 91 | |
| HF-LinearBackbone=VGG, Evaluation Protocol=Zero-shot, Split Configuration=2-way split, Importance Scores=Best result (Uniform, Conductance, or DeepLIFT)2025.06 | 88.7 | |
| EnsembleBackbone=VGG, Evaluation Protocol=Zero-shot, Split Configuration=2-way split2025.06 | 88.4 | |
| Individual ModelsBackbone=VGG, Evaluation Protocol=Zero-shot, Split Configuration=2-way split2025.06 | 76.1 | |
| LPBackbone=VGG, Evaluation Protocol=Zero-shot, Split Configuration=2-way split2025.06 | 66.3 | |
| Git Re-BasinBackbone=VGG, Evaluation Protocol=Zero-shot, Split Configuration=2-way split2025.06 | 57.9 | |
| KDBackbone=VGG, Evaluation Protocol=Zero-shot, Split Configuration=2-way split2025.06 | 46.2 | |
| OTFusionBackbone=VGG, Evaluation Protocol=Zero-shot, Split Configuration=2-way split2025.06 | 22.9 | |
| Vanilla AveragingBackbone=VGG, Evaluation Protocol=Zero-shot, Split Configuration=2-way split2025.06 | 15.2 |