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One of the primary hurdles is the misalignment of the regularization paths, which quantifies the feature selection principle between regression and classification tasks, leading to biased feature ...

This article proposes an algorithm for solving multivariate regression and classification problems using piecewise linear predictors over a polyhedral partition of the feature space. The resulting ...

Due to the difference between regression and classification models, multiple comparisons using HSD for the kappa coefficient and overall class accuracy were conducted for the classification models in ...

Abstract: This paper presents a new concept of building classification-type loss for regression sample based on conversion between regression and classification problems used in Support Vector ...