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regression

Papers

Showing 901925 of 9424 papers

TitleStatusHype
A predictive estimator of finite population mean using nonparametric regression0
A Predictive Model for Student Performance in Classrooms Using Student Interactions With an eTextbook0
A Preliminary Exploration of Floating Point Grammatical Evolution0
A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances0
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study0
A General Framework for Fast Stagewise Algorithms0
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges0
A Probabilistic Linear Genetic Programming with Stochastic Context-Free Grammar for solving Symbolic Regression problems0
A Probabilistic Machine Learning Approach to Detect Industrial Plant Faults0
A probabilistic Taylor expansion with Gaussian processes0
A proof of convergence of multi-class logistic regression network0
A generalised OMP algorithm for feature selection with application to gene expression data0
A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems0
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data0
A PTAS for Agnostically Learning Halfspaces0
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy0
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors0
A Survey Of Regression Algorithms And Connections With Deep Learning0
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression0
Arabic Dialect Identification based on a Weighted Concatenation of TF-IDF Features0
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression0
A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares0
A Survey of Numerical Algorithms that can Solve the Lasso Problems0
A Random Matrix Analysis of Random Fourier Features: Beyond the Gaussian Kernel, a Precise Phase Transition, and the Corresponding Double Descent0
Asymmetric kernel in Gaussian Processes for learning target variance0
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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