Constructing Variables Using Classifiers as an Aid to Regression: An Empirical Assessment

arXiv:2403.06829v1 Announce Type: new
Abstract: This paper proposes a method for the automatic creation of variables (in the case of regression) that complement the information contained in the initial input vector. The method works as a pre-processing step in which the continuous values of the variable to be regressed are discretized into a set of intervals which are then used to define value thresholds. Then classifiers are trained to predict whether the value to be regressed is less than or …

abstract arxiv assessment case classifiers continuous cs.lg information paper pre-processing processing regression the information type values variables vector