Dependency aware feature selection
Author pevnak
4 Stars
Updated Last
2 Years Ago
Started In
November 2018

Build Status Coverage Status codecov.io


Dependency aware feature selection is a simple but effective method proposed in Somol, Petr, Jiří Grim, and Pavel Pudil. "Fast dependency-aware feature selection in very-high-dimensional pattern recognition." 2011 IEEE International Conference on Systems, Man, and Cybernetics. IEEE, 2011.. The method is realated to Shapley values (https://en.wikipedia.org/wiki/Shapley_value) and hence to explanation methods based on this GT concept Kononenko, Igor. "An efficient explanation of individual classifications using game theory." Journal of Machine Learning Research 11.Jan (2010): 1-18.

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