The decision tree classification algorithm selects a small subset of features to create rules for. That feature selection can be used to select the features for another machine learning algorithm when you have a large number of features.
The decision tree classification algorithm selects a small subset of features to create rules for. That feature selection can be used to select the features for another machine learning algorithm when you have a large number of features.
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