Explain how decision trees work for classification. What are their main advantages and disadvantages?

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Decision trees are supervised learning algorithms that make predictions by learning a series of if-then rules from the training data. The model structure resembles a tree, with internal nodes representing decisions based on feature values, branches representing decision…