SOTAVerified

regression

Papers

Showing 39764000 of 9424 papers

TitleStatusHype
Low Complexity Single Source DOA Estimation Based on Reduced Dimension SVR0
Data Driven Prediction of Battery Cycle Life Before Capacity Degradation0
A cautionary tale on fitting decision trees to data from additive models: generalization lower boundsCode0
System Norm Regularization Methods for Koopman Operator ApproximationCode1
Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey0
Body Part Regression for CT ImagesCode1
Predicting Rebar Endpoints using Sin Exponential Regression Model0
Regression with Missing Data, a Comparison Study of TechniquesBased on Random ForestsCode0
Gravitational wave surrogates through automated machine learning0
A revised comparison between FF five-factor model and three-factor model,based on China's A-share market0
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems0
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics0
EncT5: A Framework for Fine-tuning T5 as Non-autoregressive ModelsCode1
BAPGAN: GAN-based Bone Age Progression of Femur and Phalange X-ray Images0
On Model Selection Consistency of Lasso for High-Dimensional Ising Models0
Accelerating Genetic Programming using GPUsCode0
Tree-based local explanations of machine learning model predictions, AraucanaXAI0
Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks0
Pyramid Correlation based Deep Hough Voting for Visual Object Tracking0
Propagation on Multi-relational Graphs for Node RegressionCode0
NNK-Means: Data summarization using dictionary learning with non-negative kernel regression0
Node-screening tests for L0-penalized least-squares problem with supplementary materialCode0
DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration TestingCode1
Universally Rank Consistent Ordinal Regression in Neural NetworksCode1
Subspace Regularizers for Few-Shot Class Incremental LearningCode1
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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