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regression

Papers

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Showing 6401–6425 of 9424 papers

TitleStatusHype
The generalization error of random features regression: Precise asymptotics and double descent curve—0
The Generalized Complex Kernel Least-Mean-Square Algorithm—0
The Geometry of Over-parameterized Regression and Adversarial Perturbations—0
The gradient complexity of linear regression—0
The Great Equalizer: Medicare and the Geography of Consumer Financial Strain—0
The GW/LT3 VarDial 2016 Shared Task System for Dialects and Similar Languages Detection—0
Exploiting the Hidden Tasks of GANs: Making Implicit Subproblems Explicit—0
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey—0
The Impact of Feature Scaling In Machine Learning: Effects on Regression and Classification Tasks—0
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection—0
The impact of imbalanced training data on machine learning for author name disambiguation—0
The Impact of Regularization on High-dimensional Logistic Regression—0
The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent—0
The Impact of the Mini-batch Size on the Dynamics of SGD: Variance and Beyond—0
The Impact of Using Regression Models to Build Defect Classifiers—0
The Implicit Bias of Benign Overfitting—0
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing—0
The Implicit Regularization of Momentum Gradient Descent with Early Stopping—0
The Implicit Regularization of Stochastic Gradient Flow for Least Squares—0
ODBAE: a high-performance model identifying complex phenotypes in high-dimensional biological datasets—0
The Incremental Proximal Method: A Probabilistic Perspective—0
The Inefficiency of Genetic Programming for Symbolic Regression -- Extended Version—0
The Information of Large Language Model Geometry—0
The Information Theoretically Efficient Model (ITEM): A model for computerized analysis of large datasets—0
The Interpolation Phase Transition in Neural Networks: Memorization and Generalization under Lazy Training—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