Main Article Content
A straightforward ''collision'' (quadratic) entropy estimator is used to give support, in a very pragmatic approach, to data analysis based on the concept of effective cardinality of sets. Thus, by using basic concepts of probability and set theories, a method is proposed to estimate the minimum probability of classification error, in two-class problems, without the deployment of any particular classifier. The usefulness as well as some limitations of the analysis based on effective cardinality are exemplified throughout the text.
How to Cite
Montalvão, J., Canuto, J., & Carvalho, E. (2016). On the minimum probability of classification error through effective cardinality comparison. Journal of Communication and Information Systems, 31(1). https://doi.org/10.14209/jcis.2016.26
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