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decision tree

pl: decision trees

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algorithm machine learning data node root leaf branch split classification regression prediction probability entropy pruning overfitting underfitting feature attribute variable dataset training set random forest ensemble bagging logic heuristic flowchart diagram hierarchy taxonomy decision choice outcome result path threshold binary categorical numerical continuous discrete model inference optimization bias variance accuracy precision recall cross validation supervision label target weight depth complexity induction stump recursion partition subset criterion metric loss function gradient descent hyperparameter tuning

Last Updated: July 8, 2026•Report an Error

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