SOTAVerified

regression

Papers

Showing 24262450 of 9424 papers

TitleStatusHype
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data DistillationCode0
Distance Estimation Methods for a Practical Macroscale Molecular Communication SystemCode0
Interaction-Transformation Evolutionary Algorithm for Symbolic RegressionCode0
Autoregressive Quantile Networks for Generative ModelingCode0
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution ShiftsCode0
Learning Integral Representations of Gaussian ProcessesCode0
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix ApproximationsCode0
Correcting invalid regression discontinuity designs with multiple time period data0
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression0
Correcting Domain Shifts in Electric Motor Vibration Data for Unseen Operating Conditions0
Corrected XVA Modelling Framework and Formulae for KVA and MVA0
Assessing univariate and bivariate risks of late-frost and drought using vine copulas: A historical study for Bavaria0
A high performance globally exponentially stable sensorless observer for the IPMSM: Theoretical and experimental results0
Coronavirus disease situation analysis and prediction using machine learning: a study on Bangladeshi population0
Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression0
Assessing the Prosody of Non-Native Speakers of English: Measures and Feature Sets0
A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression0
AdaBoost and Forward Stagewise Regression are First-Order Convex Optimization Methods0
Assessing Quantum Advantage for Gaussian Process Regression0
Coresets for Near-Convex Functions0
Assessing Quality Estimation Models for Sentence-Level Prediction0
Coresets for Multiple _p Regression0
Coresets for Kernel Regression0
Assessing high-order effects in feature importance via predictability decomposition0
CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79Unverified
2Baseline RegressionR2 Score0.58Unverified
3Mimic / SurrogateR2 Score0.57Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86Unverified
2Baseline RegressionR2 Score0.59Unverified
3Mimic / SurrogateR2 Score0.58Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87Unverified
2Baseline RegressionR2 Score0.78Unverified
3Mimic / SurrogateR2 Score0.78Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98Unverified
2Baseline RegressionR2 Score-0.01Unverified
3Mimic / SurrogateR2 Score-0.01Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93Unverified
2RF-ToxPrintchemical macro-average RMSE0.85Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84Unverified