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A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm.

9 votes

How to make a decision tree with both continuous and categorical variables in the dataset?

I am not sure if most answers consider the fact that splitting categorical variables is quite complex. Consider a predictor/feature that has "q" possible values, then there are ~ $2^q$ possible splits …
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