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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.

2 votes

Comparing Categorical and Continuous Features using Splits in GBM

As pointed in the comments, there is a distinction to make between the importance of a feature for the model, i.e., how many times it is used, and the importance for the accuracy of the prediction. Th …
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