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regression

Papers

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Showing 2076–2100 of 9424 papers

TitleStatusHype
Bayesian model selection consistency and oracle inequality with intractable marginal likelihood—0
Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm—0
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression—0
A decomposition method to evaluate the `paradox of progress' with evidence for Argentina—0
A comparison between Recurrent Neural Networks and classical machine learning approaches In Laser induced breakdown spectroscopy—0
Bayesian Modeling of TVP-VARs Using Regression Trees—0
Bayesian mixtures of spatial spline regressions—0
Analyzing Trendy Twitter Hashtags in the 2022 French Election—0
Bayesian meta learning for trustworthy uncertainty quantification—0
Bayesian longitudinal tensor response regression for modeling neuroplasticity—0
Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer's disease classification—0
A Decision Tree Approach to Predicting Recidivism in Domestic Violence—0
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels—0
Bayesian linear regression with Student-t assumptions—0
A Comparison Between Decision Trees and Decision Tree Forest Models for Software Development Effort Estimation—0
Bayesian Linear Regression with Cauchy Prior and Its Application in Sparse MIMO Radar—0
Bayesian Linear Regression on Deep Representations—0
Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression—0
A Benchmark Study by using various Machine Learning Models for Predicting Covid-19 trends—0
DECOrrelated feature space partitioning for distributed sparse regression—0
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier—0
Analytic Continued Fractions for Regression: A Memetic Algorithm Approach—0
Bayesian Learning of Play Styles in Multiplayer Video Games—0
A Benchmarking Protocol for SAR Colorization: From Regression to Deep Learning Approaches—0
Bayesian learning of feature spaces for multitasks problems—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