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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 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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