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regression

Papers

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Showing 7126–7150 of 9424 papers

TitleStatusHype
A comparative study on feature selection for a risk prediction model for colorectal cancer—0
A Comparison Between Decision Trees and Decision Tree Forest Models for Software Development Effort Estimation—0
A comparison between Recurrent Neural Networks and classical machine learning approaches In Laser induced breakdown spectroscopy—0
A comparison of apartment rent price prediction using a large dataset: Kriging versus DNN—0
A Comparison of Baseline Models and a Transformer Network for SOC Prediction in Lithium-Ion Batteries—0
A Comparison of Machine Learning Algorithms for Predicting Sea Surface Temperature in the Great Barrier Reef Region—0
A Comparison of Prediction Algorithms and Nexting for Short Term Weather Forecasts—0
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming—0
A Comparison of Statistical and Machine Learning Algorithms for Predicting Rents in the San Francisco Bay Area—0
Uncertainty-Aware DNN for Multi-Modal Camera Localization—0
A Component Lasso—0
A Composite Quantile Fourier Neural Network for Multi-Step Probabilistic Forecasting of Nonstationary Univariate Time Series—0
A Composite T60 Regression and Classification Approach for Speech Dereverberation—0
A Comprehensive Analysis on Machine Learning based Methods for Lung Cancer Level Classification—0
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression—0
A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees—0
Non-invasive Liver Fibrosis Screening on CT Images using Radiomics—0
A Compromise Principle in Deep Monocular Depth Estimation—0
A concentration inequality for the excess risk in least-squares regression with random design and heteroscedastic noise—0
A Concert-planning Tool for Independent Musicians by Machine Learning Models—0
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension—0
A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models—0
A consistent deterministic regression tree for non-parametric prediction of time series—0
A Consistent Estimator for Confounding Strength—0
A Constrained Deep Neural Network for Ordinal Regression—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