ecision and fuse them. Finding
good rules is done by fitting classification and regression trees
to sub-samples.
A fitted tree defines a set of rules (each tree node defines a rule); rules
are then tested out of the bag, and the ones with higher precision are kept.</p>
<p>This example aims at finding logical rules to predict credit defaults. The
analysis shows that setting.</p>
<div class="section" id="data-import-and-preparation">
<h2>Data import and preparation<a class="headerlink" href="#data-import-and-