Editing Decision tree (section)

=== Decision rules ===
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The decision tree can be [[Linearization|linearized]] into '''decision rules''',<ref>{{Cite journal | doi = 10.1016/S0020-7373(87)80053-6| title = Simplifying decision trees| journal = International Journal of Man-Machine Studies| volume = 27| issue = 3| pages = 221–234| year = 1987| last1 = Quinlan | first1 = J. R. | citeseerx = 10.1.1.18.4267}}</ref> where the outcome is the contents of the leaf node, and the conditions along the path form a conjunction in the if clause. In general, the rules have the form:
: ''if'' condition1 ''and'' condition2 ''and'' condition3 ''then'' outcome.

Decision rules can be generated by constructing [[Association rule learning|association rules]] with the target variable on the right. They can also denote temporal or causal relations.<ref>K. Karimi and H.J. Hamilton (2011), "[https://arxiv.org/abs/1004.3334 Generation and Interpretation of Temporal Decision Rules]", International Journal of Computer Information Systems and Industrial Management Applications, Volume 3</ref>