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ECoL (version 0.3.0)

Complexity Measures for Supervised Problems

Description

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) and Lorena et al. (2018) .

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install.packages('ECoL')

Monthly Downloads

169

Version

0.3.0

License

MIT + file LICENSE

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Last Published

November 5th, 2019

Functions in ECoL (0.3.0)

smoothness

Measures of smoothness
linearity

Measures of linearity
neighborhood

Measures of neighborhood
network

Measures of network
overlapping

Measures of overlapping
balance

Measures of class balance
complexity

Extract the complexity measures from datasets
correlation

Measures of feature correlation
dimensionality

Measures of dimensionality
summarization

Post processing complexity measures