SOTAVerified

regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8851–8900 of 9424 papers

TitleStatusHype
Determinants of renewable energy consumption in Madagascar: Evidence from feature selection algorithms—0
Determinants of Workplace Flextime Flexibility: An Empirical Analysis—0
Determining input variable ranges in Industry 4.0: A heuristic for estimating the domain of a real-valued function or trained regression model given an output range—0
Determining Song Similarity via Machine Learning Techniques and Tagging Information—0
Deterministic Bridge Regression for Compressive Classification—0
Deterministic Stretchy Regression—0
Developing an Optimal Model for Predicting the Severity of Wheat Stem Rust (Case study of Arsi and Bale Zone)—0
Developing Postfix-GP Framework for Symbolic Regression Problems—0
Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0—0
Development of an intelligent system for the detection of corona virus using artificial neural network—0
Development of Interactive Nomograms for Predicting Short-Term Survival in ICU Patients with Aplastic Anemia—0
Development of Machine learning algorithms to identify the Cobb angle in adolescents with idiopathic scoliosis based on lumbosacral joint efforts during gait (Case study)—0
Development of Statewide AADT Estimation Model from Short-Term Counts: A Comparative Study for South Carolina—0
Device-free Indoor WLAN Localization with Distributed Antenna Placement Optimization and Spatially Localized Regression—0
DFKI-DKT at SemEval-2017 Task 8: Rumour Detection and Classification using Cascading Heuristics—0
Diagnosing Hate Speech Classification: Where Do Humans and Machines Disagree, and Why?—0
Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels—0
Dictionary Learning Phase Retrieval from Noisy Diffraction Patterns—0
Differentiable Genetic Programming for High-dimensional Symbolic Regression—0
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression—0
Differentiable Optimal Adversaries for Learning Fair Representations—0
Differentiable Programming for Piecewise Polynomial Functions—0
Differential Analysis of Directed Networks—0
Differentially Private Bayesian Inference for Generalized Linear Models—0
Differentially Private _1-norm Linear Regression with Heavy-tailed Data—0
Differentially Private Estimation via Statistical Depth—0
Differentially Private Gaussian Processes—0
Differentially Private Geodesic and Linear Regression—0
Differentially Private Iterative Screening Rules for Linear Regression—0
Differentially Private Learning Beyond the Classical Dimensionality Regime—0
Differentially Private Linear Regression over Fully Decentralized Datasets—0
Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases—0
Differentially Private Log-Location-Scale Regression Using Functional Mechanism—0
Balance is key: Private median splits yield high-utility random trees—0
Differentially Private Model Personalization—0
Differentially Private Multi-Party Data Release for Linear Regression—0
Differentially Private Nonparametric Regression Under a Growth Condition—0
Differentially Private Ordinary Least Squares—0
Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants—0
Differentially Private Regression and Classification with Sparse Gaussian Processes—0
Differentially Private Regression for Discrete-Time Survival Analysis—0
Differentially Private Regression with Unbounded Covariates—0
Differentially Private Simple Linear Regression—0
Differentially private sliced inverse regression in the federated paradigm—0
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm—0
Differentially Private Sparse Linear Regression with Heavy-tailed Responses—0
Differential Performance Debugging with Discriminant Regression Trees—0
Differential Privacy for Sparse Classification Learning—0
Differential Privacy Mechanisms in Neural Tangent Kernel Regression—0
Diffuse and Disperse: Image Generation with Representation Regularization—0
Show:102550
← PrevPage 178 of 189Next →
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