Statistics for Data Science
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Decision trees

A statistical decision tree uses a diagram that looks like a tree. This structure attempts to represent optional decision paths and a predicted outcome for each path selected. A data scientist will use a decision tree to support, track, and model decision making and their possible consequences, including chance event outcomes, resource costs, and utility. It is a common way to display the logic of a data science process.