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Breast cancer

Benchmarks

Task NameDataset NameSOTA ResultTrend
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
Counterfactual ExplanationsBreast Cancer (test)
IM11.554
16
ClassificationBreast Cancer (test)
Misclassification Rate25.78
16
Cancer lesion segmentationBreast cancer
DSC66.27
15
BP ClassificationBreast Cancer (GRN)
Subset Accuracy24.3
11
Hazard PredictionBreast Cancer GRN
C-Index0.65
11
ClassificationBreast Cancer
AU-ARC0.9978
10
ClassificationBreast Cancer (5-fold cross-validation)
Accuracy0.968
10
ClassificationUCI breast-cancer 80%:20% random train-test
Error Rate (%)28.55
9
Detection PrecisionBreast Cancer
Detection Precision99.9
8
Gene expression predictionBreast Cancer
MSE0.5848
8
ClassificationBreast Cancer (10-fold CV)
P-Value0.047
7
Medical Image ClassificationBreast Cancer
ResNet Accuracy83
7
Cellular Component (CC) classificationBreast cancer dataset Node-level
Jaccard Index42.2
6
Node classificationBreast Cancer Rel (test)
Macro F1 Score61
6
Node classificationBreast Cancer CC (test)
Macro F1 Score41.8
6
Node classificationBreast Cancer BP (test)
Macro F1 Score0.571
6
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