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regression

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Showing 4976–5000 of 9424 papers

TitleStatusHype
The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression—0
Fast Statistical Leverage Score Approximation in Kernel Ridge Regression—0
The Efficient Shrinkage Path: Maximum Likelihood of Minimum MSE Risk—0
Asymptotics of Ridge Regression in Convolutional Models—0
Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings—0
Bayesian Dynamical System Identification With Unified Sparsity Priors And Model Uncertainty—0
Linear Regression over Networks with Communication Guarantees—0
Accumulations of Projections--A Unified Framework for Random Sketches in Kernel Ridge Regression—0
Prediction of Hydraulic Blockage at Cross Drainage Structures using Regression Analysis—0
Multitasking Deep Learning Model for Detection of Five Stages of Diabetic Retinopathy—0
Calibrated simplex-mapping classificationCode0
Prostate Tissue Grading with Deep Quantum Measurement Ordinal Regression—0
Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network—0
Machine Learning using Stata/Python—0
Slow-Growing Trees—0
A Flexible Rolling Regression Framework for Time-Varying SIRD models: Application to COVID-19—0
Panel semiparametric quantile regression neural network for electricity consumption forecasting—0
Dynamic covariate balancing: estimating treatment effects over time with potential local projections—0
Asymptotic Risk of Overparameterized Likelihood Models: Double Descent Theory for Deep Neural Networks—0
A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images—0
Adapting to Misspecification in Contextual Bandits with Offline Regression Oracles—0
PredDiff: Explanations and Interactions from Conditional ExpectationsCode0
Zoetrope Genetic Programming for Regression—0
Learning Prediction Intervals for Regression: Generalization and Calibration—0
Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities—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