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Breast cancer

Benchmarks

Task NameDataset NameSOTA ResultTrend
ClassificationBreast Cancer
Accuracy98.25
56
Local explanation fidelityBreast cancer n = 32
RMSE0.001
54
Sequence ClassificationBreast Cancer dataset
Accuracy86.8
36
CK5 status predictionBreast cancer H2 (internal cohort)
Mean AUC0.8481
23
HER2 status predictionBreast cancer H2 (internal cohort)
Mean AUC0.8412
23
Progesterone Receptor (PR) status predictionBreast cancer H2 (internal cohort)
Mean AUC89.44
23
Estrogen Receptor (ER) status predictionBreast cancer H2 (internal cohort)
Mean AUC0.9185
23
Androgen Receptor (AR) status predictionBreast cancer H2 (internal cohort)
Mean AUC0.748
23
Molecular SubtypingBreast cancer H9 (External)
Mean AUC0.8214
23
Molecular SubtypingBreast cancer cohort H2 (Internal)
Mean AUC0.938
23
ClassificationBreast Cancer (test)
Misclassification Rate1.8
22
Counterfactual ExplanationsBreast Cancer (test)
IM11.554
16
Execution time measurementBreast Cancer (50% MNAR)
Training Time (s)0.682
15
Cancer lesion segmentationBreast cancer
DSC66.27
15
ClassificationBreast Cancer original missingness
Imputation Rate100
14
Confidence EstimationBreast Cancer
AURC0.343
13
ClassificationBreast Cancer
F1 Score98
13
ClassificationBreast Cancer 10%
PR AUC97.9
12
ClassificationBreast Cancer 20%
PR AUC98.5
12
ClassificationBreast Cancer
PR AUC98.8
12
Explanation RegularityBreast Cancer
Regularity91.5
11
Explanation Fidelity EstimationBreast Cancer
Fidelity (R2)0.825
11
Explanation StabilityBreast Cancer
Stability100
11
BP ClassificationBreast Cancer (GRN)
Subset Accuracy24.3
11
Hazard PredictionBreast Cancer GRN
C-Index0.65
11
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