A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...
Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...
Decision trees are useful modeling tools to help you make decisions. Decision trees offer a structure to organize options and help you understand the possible results of choosing specific options.
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