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regression

Papers

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Showing 4151–4175 of 9424 papers

TitleStatusHype
Electricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine—0
Electoral David vs Goliath: How does the Spatial Concentration of Electors affect District-based Elections?—0
Elastic-net Regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signals Detection—0
EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets—0
Boosting as a kernel-based method—0
EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party—0
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling—0
A new LDA formulation with covariates—0
Advanced Variations of Two-Dimensional Principal Component Analysis for Face Recognition—0
Non-invasive Liver Fibrosis Screening on CT Images using Radiomics—0
Efficient Tensor Kernel methods for sparse regression—0
Boosted Histogram Transform for Regression—0
Efficient Symmetric Norm Regression via Linear Sketching—0
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation—0
Boosted Fitted Q-Iteration—0
A new Edge Detector Based on Parametric Surface Model: Regression Surface Descriptor—0
Efficient Strongly Polynomial Algorithms for Quantile Regression—0
Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering—0
BooST: Boosting Smooth Trees for Partial Effect Estimation in Nonlinear Regressions—0
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy—0
A New Deterministic Technique for Symbolic Regression—0
Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes—0
Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces—0
Efficient semi-supervised inference for logistic regression under case-control studies—0
Efficient Sampling for Gaussian Process Inference using Control Variables—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