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Difference between normal decision tree with information gain criterion and W-J48
I want to ask a question
What is the difference between
a) normal decision tree with information gain criterion and
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?
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.