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regression

Papers

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Showing 2976–3000 of 9424 papers

TitleStatusHype
Empirical Study of Deep Learning for Text Classification in Legal Document Review—0
Employee Attrition Prediction—0
EmpNa at WASSA 2021: A Lightweight Model for the Prediction of Empathy, Distress and Emotions from Reactions to News Stories—0
An Experimental Comparison of Old and New Decision Tree Algorithms—0
Adaptive observer of state variables of a nonlinear time varying system with unknown constant parameters—0
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes—0
Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models—0
Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data—0
Encompassing Tests for Nonparametric Regressions—0
Encrypted accelerated least squares regression—0
A Unified Framework for Training Neural Networks—0
IV Regressions without Exclusion Restrictions—0
End-to-end deep learning for directly estimating grape yield from ground-based imagery—0
End-to-End Dense Video Grounding via Parallel Regression—0
An Experiment on Feature Selection using Logistic Regression—0
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking—0
End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN—0
Brain Inspired Computing Approach for the Optimization of the Thin Film Thickness of Polystyrene on the Glass Substrates—0
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning—0
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays—0
LTS-NET: End-to-end Unsupervised Learning of Long-Term 3D Stable objects—0
Adversarial attacks against Bayesian forecasting dynamic models—0
Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates—0
Enforcing asymptotic behavior with DNNs for approximation and regression in finance—0
A Unified Framework for Sparse Relaxed Regularized Regression: SR3—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