ECoL: 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: Lorena et al. (2019) <doi:10.1145/3347711> and
Lorena et al. (2018) <doi:10.1007/s10994-017-5681-1>.
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