🎉 🎉   RAPIDMINER 9.5 BETA IS OUT!!!   🎉 🎉

GRAB THE HOTTEST NEW BETA OF RAPIDMINER STUDIO, SERVER, AND RADOOP. LET US KNOW WHAT YOU THINK!

CLICK HERE TO DOWNLOAD

🦉 🎤   RapidMiner Wisdom 2020 - CALL FOR SPEAKERS   🦉 🎤

We are inviting all community members to submit proposals to speak at Wisdom 2020 in Boston.


Whether it's a cool RapidMiner trick or a use case implementation, we want to see what you have.
Form link is below and deadline for submissions is November 15. See you in Boston!

CLICK HERE TO GO TO ENTRY FORM

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

koknayayakoknayaya Member Posts: 20 Contributor I
edited January 15 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.


Best Answer

Answers

Sign In or Register to comment.