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bike

Benchmarks

Task NameDataset NameSOTA ResultTrend
Conformal PredictionBike
Empirical Coverage91.1
12
Marginal Likelihood EstimationBIKE (mean over 10 splits)
Test Log-Likelihood2.15
12
Edge flow predictionBike (test)
RMSE0.029
10
RegressionBIKE
RMSE0.04
9
Regressionbike 10^1 scaling (five-fold cross-validation)
RMSE3.985
6
Selective Regressionbike (test)
Conditional Large-Loss Rate19
6
Decision Tree Rashomon Set constructionBike
Time (s)2.55
5
Physical Consistency AnalysisBike (test)
Final Divergence Residual2.37
5
Decision Tree Rashomon Set CalculationBike
Runtime2.55
4
Rashomon set approximationBike-164
Recall100
4
Regressionbike (test)
Max Conditional Coverage Deviation (%)4.925
4
RegressionBike UCI (test)
Latency (s x 10^-5)0.694
3
IND-CPA DistinguishabilityBIKE (val)
Accuracy50.05
2
Ciphertext ClassificationBIKE combined with Plaintext
Accuracy50.06
2
Ciphertext ClassificationBIKE combined with Plain RSA
Accuracy50.26
2
Ciphertext ClassificationBIKE combined with RSA OAEP
Accuracy50.2
2
RegressionBike Hour
R^20.96
2
RegressionBike Day
R^20.98
2
Articulation ModelingBike OOD
F-Score87.7
1
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