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'Classification And Regression Trees', also sometimes called 'decision trees'. CART is a popular machine learning technique, and it forms the basis for techniques like random forests and common implementations of gradient boosting machines.
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decision tree induction algorithm
Is the ID3 decision tree induction algorithm guaranteed to find an
optimal decision tree (a tree that best classifies the training examples over all possible trees)
for any given dataset?
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Classification: Random Forest vs. Decision tree
Suppose you are given a dataset with 4 attributes (F1, F2, F3, and F4). The class label is contained in attribute F4.
Now you build a random forest classification model and you test its performance …