What are the benefits and drawbacks of incorporating decision trees into a machine learning model?

Question

Anonymous · Accepted Answer

Decision Trees is a tree-based model built on a single tree, using recursive
splits on best features thresholds. it's best to used for pattern recognition
rather than building a generalized model in production due to it's prone to
overfitting character.

What are the benefits and drawbacks of incorporating decision trees into a machine learning model?

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