Revisiting Chebyshev Polynomial and Anisotropic RBF Models for Tabular Regression

Researchers developed smooth-basis regression models including anisotropic RBF networks and Chebyshev polynomial regressors that compete with tree ensembles in tabular regression tasks. Testing across 55 datasets showed these models achieve similar accuracy to tree ensembles while offering better generalization properties and gradual prediction surfaces suitable for optimization applications.