Decision Tree Options

Hello Everyone,

I have Problems in understanding what the Options of the Decision Tree exactly do. I have already read the Descriptions of the Decision Tree Learner and Predictor and i didnt get smarter of it (bad english!). And i have already tried to unterstand by comparing the results created with different Options.

Please u must help me out:

What does ‘Average Split Point’, Binary nominal splits and Max #nominal do?

Maybe it would help if someone can tell me that in german.

Thanks in advance

helpless User


i found out what these Options do. Theres no need to answer anymore. thx however.