decision tree models
Decision tree models are a type of machine learning algorithm that use a tree-like structure to make decisions or predict outcomes based on a series of features or attributes. Each node represents a feature, and the branches represent possible values or conditions. By following these branches, the model can reach a final "leaf" node that provides a prediction or decision based on the given input.
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