Web: http://arxiv.org/abs/2209.07575

Sept. 19, 2022, 1:11 a.m. | Paul-Amaury Matt, Rosina Ziegler, Danilo Brajovic, Marco Roth, Marco F. Huber

cs.LG updates on arXiv.org arxiv.org

Our goal in this paper is to automatically extract a set of decision rules
(rule set) that best explains a classification data set. First, a large set of
decision rules is extracted from a set of decision trees trained on the data
set. The rule set should be concise, accurate, have a maximum coverage and
minimum number of inconsistencies. This problem can be formalized as a modified
version of the weighted budgeted maximum coverage problem, known to be NP-hard.
To …

algorithm arxiv classification data data sets decision rules

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