Decision Tree Splits for Continuous Variables
How does a Decision Tree Split on continuous variables? A Decision Tree recursively splits training data into subsets based on the value of a single attribute. Splitting stops when every subset is pure (all elements belong to a single class) In this video, I’ll show you how you can split a decision tree when you have continous variables.
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