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During my machine learning labwork, I was trying to fit a decision tree to the IRIS dataset (150 samples, 4 features). The maximum theoretical depth my tree can reach which is, for my understanding, equals to (number of sample-1) when the tree overfits the training set. So, for my training set which consists of 100 samples that would be 99. However, I am unsure what would the maximum depth be if I want to impose that no less than 2 samples are contained in a leaf. Would it just be ${100 \over 2} - 1 = 49$?

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    $\begingroup$ Yes, your formula is correct. $\endgroup$ Nov 25 at 9:08
  • $\begingroup$ Yes. And just want to add that if all of your features were categorical then max depth would have been 4. $\endgroup$ Nov 26 at 6:18

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