PneumoniaMNIST
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | PneumoniaMNIST | Accuracy98.28 | 94 | |
| Classification | PneumoniaMNIST MedMNIST v2 (test) | Accuracy99.4 | 32 | |
| Unsupervised Clustering | PneumoniaMNIST | Accuracy91.9 | 25 | |
| Medical Image Classification | PneumoniaMNIST | Accuracy96.1 | 21 | |
| Counterfactual Explanations | PneumoniaMNIST (test) | IM11.157 | 16 | |
| Binary Image Classification | PneumoniaMNIST Mild Non-IID (alpha = 1.0) (test) | Accuracy89.81 | 8 | |
| Image Classification | PneumoniaMNIST alpha = 0.1 (Severe Non-IID) (test) | Accuracy89.1 | 8 | |
| Binary Image Classification | PneumoniaMNIST 1.0 (test) | Accuracy89.36 | 8 | |
| Image Classification | PneumoniaMNIST v2 (test) | g-mean88.1 | 8 | |
| Image Classification | PneumoniaMNIST MedMNIST (test) | AUC0.9556 | 6 | |
| Medical Image Classification | PneumoniaMNIST (test) | Accuracy91.2 | 5 | |
| Pneumonia Diagnosis | PneumoniaMNIST (test) | Accuracy87.17 | 5 | |
| Image Generation Quality Evaluation | PneumoniaMNIST (test) | FID0.915 | 5 | |
| Binary classification | PneumoniaMNIST (Range 75-100) | MSE0.5533 | 3 | |
| Binary classification | PneumoniaMNIST (Range 50-75) | MSE Loss0.537 | 3 | |
| Binary classification | PneumoniaMNIST (Range 25-50) | MSE0.7187 | 3 | |
| Binary classification | PneumoniaMNIST (Range 0-25) | MSE0.5253 | 3 | |
| Binary classification | PneumoniaMNIST (Range 0-100) | MSE0.9001 | 2 | |
| Multi-Instance Learning Classification | PneumoniaMNIST v2 (test) | Metric- | 0 |
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