Complexity Measures for Supervised Problems
Measures of class balance
Extract the complexity measures from datasets
Measures of feature correlation
Measures of dimensionality
Measures of linearity
Measures of neighborhood
Measures of network
Measures of overlapping
Measures of smoothness
Post processing complexity measures
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>.