Decision Tree

lean321

Hi everyone!
I would like to know the meanning of the input parameters of the deccision tree. They are
1.keep example set
2.criterion.
3. minimal_size_for_split
4. minimal_ leaf_size
5.minimal_gain.
6:minimal_depth
7:confidence
8.number_of_prepruning_alternatives
9.no_pre_pruning
10.no_pruning

Or where i can find these info and the infor of the other parameter for other trees like wj48?

Thanx!!!

land

Hi,
first of all, there's a tool tip per parameter. Just point with the mouse on the parameter name and wait a few seconds. This will probably explain everything you need, if you know the algorithms. Otherwise I would suggest to take a look in to the wikipedia.

Weka tends to use very short and absolute unreadable parameter names. Most of the time you will recognize weka operators because of the one character Parameter names, they used for some unknown reason. But there should be a tool tip, too, that should at least give you a hint.

Greetings,
  Sebastian