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Difference between normal decision tree with information gain criterion and W-J48

koknayayakoknayaya Member Posts: 20 Contributor I
edited January 2019 in Help
Hi. Have a good day everyone!

I want to ask a question :smiley:

1st question
What is the difference between
a) normal decision tree with information gain criterion and
b) W-J48?

Im quite confused with the difference.

Why dont we just use the basic decision tree and choose 'Information gain' for the criterion instead of using W-J48?

2nd question
Is there any guidelines for me to set the suitable values for parameters in W-J48 such as the confidence threshold for pruning and the minimum number of instances per leaf? 

I dont know the suitable value that should be set for the parameters.
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