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regression

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Showing 4801–4825 of 9424 papers

TitleStatusHype
Fixed-k Tail Regression: New Evidence on Tax and Wealth Inequality from Forbes 400—0
L1 Regression with Lewis Weights Subsampling—0
Aleatoric uncertainty for Errors-in-Variables models in deep regression—0
Physical Constraint Embedded Neural Networks for inference and noise regulation—0
LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction—0
Univariate Long-Term Municipal Water Demand Forecasting—0
Achieving Fairness with a Simple Ridge Penalty—0
Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI—0
Modeling the EdNet Dataset with Logistic Regression—0
Studying the association of online brand importance with museum visitors: An application of the semantic brand score—0
Classifying variety of customer's online engagement for churn prediction with mixed-penalty logistic regression—0
Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence MicroscopyCode0
Identifying Wisdom (of the Crowd): A Regression Approach—0
Efficient Least Squares Monte-Carlo Technique for PFE/EE Calculations—0
A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations—0
Post-processing Multi-Model Medium-Term Precipitation Forecasts Using Convolutional Neural Networks—0
Privacy-preserving Logistic Regression with Secret SharingCode0
Acquisitive Crimes, Time of Day, and Multiunit Housing in the City of Milwaukee—0
An efficient projection neural network for _1-regularized logistic regressionCode0
Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models—0
Lightweight Distributed Gaussian Process Regression for Online Machine Learning—0
Performance Comparison of Different Machine Learning Algorithms on the Prediction of Wind Turbine Power Generation—0
A rigorous introduction to linear models—0
Deep Neural Networks as Point Estimates for Deep Gaussian Processes—0
A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image CaptioningCode0
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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