Breast cancer
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | Breast Cancer | Accuracy98.25 | 61 | |
| Local explanation fidelity | Breast cancer n = 32 | RMSE0.001 | 54 | |
| Sequence Classification | Breast Cancer dataset | Accuracy86.8 | 36 | |
| Gene expression prediction | Breast Cancer | MSE0.2886 | 32 | |
| CK5 status prediction | Breast cancer H2 (internal cohort) | Mean AUC0.8481 | 23 | |
| HER2 status prediction | Breast cancer H2 (internal cohort) | Mean AUC0.8412 | 23 | |
| Progesterone Receptor (PR) status prediction | Breast cancer H2 (internal cohort) | Mean AUC89.44 | 23 | |
| Estrogen Receptor (ER) status prediction | Breast cancer H2 (internal cohort) | Mean AUC0.9185 | 23 | |
| Androgen Receptor (AR) status prediction | Breast cancer H2 (internal cohort) | Mean AUC0.748 | 23 | |
| Molecular Subtyping | Breast cancer H9 (External) | Mean AUC0.8214 | 23 | |
| Molecular Subtyping | Breast cancer cohort H2 (Internal) | Mean AUC0.938 | 23 | |
| Hyperparameter Optimization | Breast Cancer SVM (test) | Final Simple Regret0.0061 | 22 | |
| Classification | Breast Cancer (test) | Accuracy97.7 | 22 | |
| Counterfactual Explanations | Breast Cancer (test) | IM11.554 | 16 | |
| Execution time measurement | Breast Cancer (50% MNAR) | Training Time (s)0.682 | 15 | |
| Cancer lesion segmentation | Breast cancer | DSC66.27 | 15 | |
| Classification | Breast Cancer original missingness | Imputation Rate100 | 14 | |
| Confidence Estimation | Breast Cancer | AURC0.343 | 13 | |
| Classification | Breast Cancer | F1 Score98 | 13 | |
| Prototype Fidelity Evaluation | Breast Cancer (test) | Fidelity100 | 12 | |
| Classification | Breast Cancer 10% | PR AUC97.9 | 12 | |
| Classification | Breast Cancer 20% | PR AUC98.5 | 12 | |
| Classification | Breast Cancer | PR AUC98.8 | 12 | |
| Classification | Breast Cancer (5-fold cross-validation) | Accuracy0.974 | 12 | |
| Explanation Regularity | Breast Cancer | Regularity91.5 | 11 |
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