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regression

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Showing 2301–2325 of 9424 papers

TitleStatusHype
Efficient kernel surrogates for neural network-based regression—0
Determinants of renewable energy consumption in Madagascar: Evidence from feature selection algorithms—0
Inside the black box: Neural network-based real-time prediction of US recessions—0
Approximate Leave-one-out Cross Validation for Regression with _1 Regularizers (extended version)—0
Grokking Beyond Neural Networks: An Empirical Exploration with Model ComplexityCode0
Deep Imbalanced Regression via Hierarchical Classification Adjustment—0
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression—0
Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression—0
Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation—0
Inference for Rank-Rank RegressionsCode0
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression—0
ELM Ridge Regression Boosting—0
Mid-Long Term Daily Electricity Consumption Forecasting Based on Piecewise Linear Regression and Dilated Causal CNN—0
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression—0
Bayesian Regression MarketsCode0
Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regressionCode0
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts—0
ASBART:Accelerated Soft Bayes Additive Regression TreesCode0
Distributed Linear Regression with Compositional Covariates—0
Exact Asymptotic Estimation of Unknown Parameters of Perturbed LRE with Application to State Observation—0
Minimax Optimal Transfer Learning for Kernel-based Nonparametric Regression—0
Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression—0
Nonparametric Regression with Dyadic Data—0
Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach—0
Enhanced Local Explainability and Trust Scores with Random Forest Proximities—0
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All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79—Unverified
2Baseline RegressionR2 Score0.58—Unverified
3Mimic / SurrogateR2 Score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86—Unverified
2Baseline RegressionR2 Score0.59—Unverified
3Mimic / SurrogateR2 Score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87—Unverified
2Baseline RegressionR2 Score0.78—Unverified
3Mimic / SurrogateR2 Score0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98—Unverified
2Baseline RegressionR2 Score-0.01—Unverified
3Mimic / SurrogateR2 Score-0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93—Unverified
2RF-ToxPrintchemical macro-average RMSE0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84—Unverified