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

koknayaya

Hi. Have a good day everyone!

I want to ask a question

1st question
What is the differencebetween
a) normal decision tree withinformation gain criterionand
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.

Telcontar120

I think this is a similar discussion to the following thread:https://community.www.turtlecreekpls.com/discussion/54804/difference-between-c4-5-and-w-j48#latest
For more details on the W-J48 implementation you should consult the Weka project documentation.

koknayaya

thank you!