I have some questions but I am not anglophone and may be it will difficult to you to understand my questions and difficult to me to understand your answer.
Please if I am not understandable say it to me.
I try to make a learning machine to a stage in computer science and I want compare some models to this.
I have very few examples (20) but I have to try anyway.
My troubles are to adjust the parameters of "compare ROC", I think understand what is a ROC curve and how interpreted but may be I make a mistake cause I don't understand why they are two parameters :
According to me if i put 4 in number_of_folds
for each models Rapidminer compares 4 training machine with 15 examples to learn and evaluate them with the last 5 and after create for each model the ROC Curves. And it match with that I want (compare some models to my 20 examples).
But split ratio can not be disable so it can play a role in the roc curve but i don't understand which. May be if I put 1 in this parameter it work as I think?
Thank for your help