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Kin8nm

Benchmarks

Task NameDataset NameSOTA ResultTrend
RegressionKin8nm
RMSE0.079
24
Hyperparameter OptimizationKin8nm XGB (test)
Final Simple Regret0.0073
22
Hyperparameter OptimizationKin8nm LGBM (test)
Final Simple Regret0.0078
22
RegressionKin8nm
Posterior Probability P(< MAP)100
22
Regressionkin8nm
NCIW0.194
22
RegressionKin8nm UCI (test)
RMSE0.078
18
Bayesian neural network regressionKin8nm (test)
RMSE0.087
12
RegressionKin8nm (no contamination)
RMSE0.132
11
RegressionKin8nm 10% outlier contamination (test)
RMSE0.136
11
Regressionkin8nm
Interval Score Loss0.327
11
Regressionkin8nm
Quantile Loss0.0041
11
Feature SelectionKIN8NM
Fidelity0.5146
10
RegressionKin8nm
NLL-1.24
10
Regressionkin8nm (test)
Test Log Likelihood1.4
9
Regressionkin8nm CV (test)
R2 Score0.92
8
RegressionKin8nm OOD rescaled by 0.1 non-normalized UCI (test)
RMSE0.26
8
RegressionKin8nm
Relative Percentage Error1
8
RegressionKin8nm
Avg NLL Relative Percentage22
8
Bayesian Neural Network InferenceKin8nm UCI (test)
Test Log-Likelihood1.25
8
RegressionKin8nm UCI rescaled 3x std normalized (test)
RMSE0.25
7
Multivariate RegressionKin8nm
MSE0.0327
6
Prediction Interval estimationkin8nm (test)
PICP91.89
6
RegressionKin8nm UCI
Ensemble CRPS0.039
6
RegressionUCI Kin8nm
W1 Error0.07
6
RegressionKin8nm
Average Training Time (s)1.507
6
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