Classification problem

Hello all,

I am a newbie with rapid miner framework and also I have very little experience with machine learning so I would appreciate any help with my learning problem. I have training and test dataset which look like this All attributes/columns are numerical except d and x3 are nominal.
Problem is to classify test data (attributes x1, x2, x3) based on training dataset. If x1, x2 and x3 would be independent I could create 3 separate programs and learn each parameter independently from another. What learners should I use? Is this even posible?

Please point me towards the solution.