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2016

GENESIM: genetic extraction of a single, interpretable model

Vandewiele, Gilles, Janssens, Olivier, Ongenae, Femke et al.

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Models obtained by decision tree induction techniques excel in being interpretable.However, they can be prone to overfitting, which results in a low predictive performance.

Ensemble techniques are able to achieve a higher accuracy.
However, this comes at a cost of losing interpretability of the resulting model.
This makes ensemble techniques impractical in applications where decision support, instead of decision making, is crucial.

GENESIM: genetic extraction of a single, interpretable model · Around

Built on

Classification and Regression Trees
Leo Breiman, Jerome Friedman, Charles J. Stone, and R.A. Olshen · 1984
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Messy Genetic Algorithms : Motivation , Analysis , and First Results
David E Goldberg, Bradley Korb, and Kalyanmoy Deb · 1989
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C4.5: programs for machine learning
J. Ross Quinlan · 1993
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Multiple Classifier Systems: First International Workshop
Thomas G. Dietterich · 2000
Earlier work this paper cites.
From patterns to pathways: gene expression data analysis comes of age
Donna K Slonim · 2002
Earlier work this paper cites.

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