ECoL (0.2.0)

Complexity Measures for Supervised Problems.

Provides measures to characterize the complexity of classification and regression problems based on aspects that quantify the linearity of the data, the presence of informative feature, the sparsity and dimensionality of the datasets. This package provides bug fixes, generalizations and implementations of many state of the art measures. The measures are described in the papers: Ho and Basu (2002) and Lorena et al. (2018) .

Maintainer: Luis Garcia
Author(s): Luis Garcia [aut, cre], Ana Lorena [aut, ctb]

License: MIT + file LICENSE

Uses: cluster, e1071, FNN, igraph, MASS

Released 11 months ago.