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Re:A Practical Guide to Tree-Based Learning Algorithms by 6502nerdface on Sunday July 23, 2017 @05:42PM (#14834563)
Nice write-up, thanks for sharing. One possible typo I noticed:

> Maximum depth of tree (vertical depth) The maximum depth of trees. It is used to control over-fitting, higher values prevent a model from learning relations which might be highly specific to the particular sample.

Shouldn't it be lower values, i.e., shallower trees, that control over-fitting?

Re:A Practical Guide to Tree-Based Learning Algorithms by sadanand4singh on Sunday July 23, 2017 @05:53PM (#14834616)
Thanks for pointing. Yes it should be lower value to prevent over-fitting.
Re:A Practical Guide to Tree-Based Learning Algorithms by Bishonen88 on Sunday July 23, 2017 @07:53PM (#14835003)
df_train_set.Income.value_counts() should be df_test_set probably in the part where it's comparing both.