RAPIDMINER 9.7 BETA ANNOUNCEMENT
The beta program for the RapidMiner 9.7 release is now available. Lots of amazing new improvements including true version control!
Help with naive bayes
I need help. I got assignment that I have to predict "y" value using Naive Bayes algoritm. The data I have to use is very big, complex, and doesnt make too much sense to me. I posted them under "train" file. Values from "Xo" to "X8" are in letters, and other are binary. Only normal value is "y" . Value "y" i put to nominal value(cuz of Bayes), and label it. I also put the proces in archive. I watched many tutorials, but I think the problem is with my data. I know that i need to remove some irelevant data, but its just to many for my knowlage and current skills. In performance I got 0.32% accuracy. Can u please look at my Rapidminer program and train files and tell me what to do and how? Or maybe this isn´t the right algorythm for my problem, thats also an option.
Thank u so much