Decision tree learning: Difference between revisions

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title=An analysis of boosted ensembles of binary fuzzy decision trees| journal=Expert Systems with Applications|
volume=154| year=2020| last1=Barsacchi| first1=M.|last2=Bechini| first2=A.|last3=Marcelloni| first3=F.| page=113436| s2cid=216369273}}</ref>
 
Another type of decision tree addresses ordinal classification problems, where class values follow a natural order, such as those related to pricing or costs. Typically, these problems are treated as multi-class classification tasks, disregarding the inherent ordering of the classes. <ref name="MBS22">{{Cite web|author = Marudi, M., Ben-Gal I., and Singer G. (2022)|format = PDF|title = A decision tree-based method for ordinal classification problems |url = https://www.iradbengal.sites.tau.ac.il/_files/ugd/901879_b6d039bc1d844365904df87fdf9b47c3.pdf|publisher = IISE Transactions (2022): 1-15 }}</ref>
 
==Metrics==