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regression

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Showing 5051–5075 of 9424 papers

TitleStatusHype
Prediction of stent under-expansion in calcified coronary arteries using machine-learning on intravascular optical coherence tomography—0
Prediction of treatment outcome for autism from structure of the brain based on sure independence screening—0
Prediction performance after learning in Gaussian process regression—0
Prediction Rule Reshaping—0
Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models—0
Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control—0
Simple Imputation Rules for Prediction with Missing Data: Contrasting Theoretical Guarantees with Empirical Performance—0
Prediction with Missing Data via Bayesian Additive Regression Trees—0
Predictive Approximate Bayesian Computation via Saddle Points—0
Predictive Density Combination Using a Tree-Based Synthesis Function—0
Predictive Image Regression for Longitudinal Studies with Missing Data—0
Predictive Interval Models for Non-parametric Regression—0
Predictive Liability Models and Visualizations of High Dimensional Retail Employee Data—0
Predictive Model Development to Identify Failed Healing in Patients after Non-Union Fracture Surgery—0
Predictive Modeling of Shading Effects on Photovoltaic Panels Using Regression Analysis—0
Predictive Modelling of Bone Age through Classification and Regression of Bone Shapes—0
Predictive modelling of training loads and injury in Australian football—0
Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach—0
Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach—0
Predictive Uncertainty in Deep Object Detectors: Estimation and Evaluation—0
Predict the model of a camera—0
Preprocessing and Modeling of Radial Fan Data for Health State Prediction—0
Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables—0
Preserving gauge invariance in neural networks—0
Preserving Phonemic Distinctions for Ordinal Regression: A Novel Loss Function for Automatic Pronunciation Assessment—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