SOTAVerified

regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1976–2000 of 9424 papers

TitleStatusHype
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks—0
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps—0
Statistical Agnostic Regression: a machine learning method to validate regression models—0
Inference for Regression with Variables Generated by AI or Machine Learning—0
Efficient semi-supervised inference for logistic regression under case-control studies—0
Sample-Efficient Linear Regression with Self-Selection Bias—0
Comparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data—0
Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps—0
Multivariate Online Linear Regression for Hierarchical Forecasting—0
Quantifying neural network uncertainty under volatility clustering—0
Sparse Linear Regression and Lattice Problems—0
Non-Contact Acquisition of PPG Signal using Chest Movement-Modulated Radio Signals—0
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression—0
Stable Update of Regression TreesCode0
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests—0
Analysis of Bootstrap and Subsampling in High-dimensional Regularized RegressionCode0
AI-Powered Predictions for Electricity Load in Prosumer Communities—0
Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning—0
A Bound on the Maximal Marginal Degrees of Freedom—0
Investigating the Histogram Loss in RegressionCode0
Imbalance in Regression Datasets—0
Bayesian Active Learning for Censored Regression—0
An Adversarial Approach to Evaluating the Robustness of Event Identification Models—0
Improved Indoor Localization with Machine Learning Techniques for IoT applications—0
Learning Memory Kernels in Generalized Langevin Equations—0
Show:102550
← PrevPage 80 of 377Next →
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