Classification on MNIST radiomics negative control
23.4AWGradient Boosting Classification
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Gradient Boosting ClassificationMethod Subtype=Tree-based2026.03 | 23.4 | 30.8 | 65.9 | |
| Logistic RegressionMethod Subtype=OVR2026.03 | 22.4 | 28 | 69 | |
| Logistic RegressionMethod Subtype=Difference2026.03 | 22.1 | 29.4 | 69 | |
| Gradient Boosting ClassificationMethod Subtype=Difference2026.03 | 21.7 | 26.6 | 65.2 | |
| Gradient Boosting ClassificationMethod Subtype=Multiclass2026.03 | 20.5 | 20.7 | 68.2 | |
| Support Vector ClassificationMethod Subtype=OVR2026.03 | 20 | 20.2 | 64.9 | |
| Gaussian Naïve BayesMethod Subtype=Multiclass2026.03 | 19.2 | 23.8 | 64 | |
| Gaussian Naïve BayesMethod Subtype=Difference2026.03 | 19.2 | 12 | 63.5 | |
| Logistic RegressionMethod Subtype=Tree-based2026.03 | 19.1 | 32.5 | 64.8 | |
| Gaussian Naïve BayesMethod Subtype=Tree-based2026.03 | 17.8 | 12.7 | 61.1 | |
| Ordered probit model2026.03 | 12.4 | 12.6 | 52.8 | |
| Support Vector ClassificationMethod Subtype=Difference2026.03 | 11.1 | 21.9 | 58 |