I am just curious if decision tree is conceptually related to maximum likelihood estimation. As far as I know, when a decision tree split, it uses entropy for its nodes. However, I don't know if using entropy to make modes in decision trees is related to maximum likelihood estimation or not. Hope to hear some explanation.
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asked Nov 30, 2020 at 14:17
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2$\begingroup$ Strongly related: stats.stackexchange.com/questions/94886 $\endgroup$– Frans RodenburgCommented Nov 30, 2020 at 14:32
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