Question: Mandeep is working on a classification problem with a data of 1 0 0 0 rows. He feels boosting models will be a bit complex

Mandeep is working on a classification problem with a data of 1000 rows. He feels boosting models will be a bit complex and wants to start with decision tree.He is concerned that the decision tree will overfit the data. What are various ways he can control the decision tree fit? Pick ONE OR MORE options - He can control

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