SOTAVerified

regression

Papers

Showing 27762800 of 9424 papers

TitleStatusHype
Inadmissibility of the corrected Akaike information criterion0
On the Role of the Zero Conditional Mean Assumption for Causal Inference in Linear Models0
Improving the Computer-Aided Estimation of Ulcerative Colitis Severity According to Mayo Endoscopic Score by Using Regression-Based Deep LearningCode1
Vector-Valued Least-Squares Regression under Output Regularity Assumptions0
SketchySGD: Reliable Stochastic Optimization via Randomized Curvature EstimatesCode0
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series ForecastingCode1
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem0
Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning0
Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression0
Contrastive learning for regression in multi-site brain age predictionCode1
Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression0
Type I Tobit Bayesian Additive Regression Trees for Censored Outcome Regression0
Neural Regression For Scale-Varying TargetsCode0
Multilevel-in-Layer Training for Deep Neural Network RegressionCode0
Online Linearized LASSO0
Overparameterized random feature regression with nearly orthogonal data0
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression0
Semi-supervised Variational Autoencoder for Regression: Application on Soft SensorsCode1
A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares0
A Benchmarking Dataset with 2440 Organic Molecules for Volume Distribution at Steady StateCode0
Regression as Classification: Influence of Task Formulation on Neural Network FeaturesCode1
Noise Self-Regression: A New Learning Paradigm to Enhance Low-Light Images Without Task-Related Data0
Sparse Bayesian Lasso via a Variable-Coefficient _1 Penalty0
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty0
flexBART: Flexible Bayesian regression trees with categorical predictorsCode1
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Benchmark Results

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