Representatividad Muestral en la Incertidumbre Sim\'etrica Multivariada para la Selecci\'on de Atributos

arXiv:2403.18685v1 Announce Type: cross
Abstract: In this work, we analyze the behavior of the multivariate symmetric uncertainty (MSU) measure through the use of statistical simulation techniques under various mixes of informative and non-informative randomly generated features. Experiments show how the number of attributes, their cardinalities, and the sample size affect the MSU. In this thesis, through observation of results, it is proposed an heuristic condition that preserves good quality in the MSU under different combinations of these three factors, providing …

abstract analyze arxiv behavior cs.it cs.lg features generated math.it math.st multivariate sample show sim simulation statistical stat.th through type uncertainty work