"Getting started - very simple neural network training

Hi there,

I am working on the business intelligence part of a large project and looking for an appropriate tool. RapidMiner looks very promising so far though I have trouble to get a simple neural net training running. As a an initial point for experimenting, I'd like RapidMiner to learn the body mass index formula classification.

I've got two files, "training" and "testing", each containing 100 data examples. They both look like that

69 189 38 0
66 193 60 -1
63 161 59 1
74 187 36 1
68 182 37 0
63 169 46 1
75 158 30 -1
92 145 47 -1
52 160 50 0
...

The format is: weight (kg) - height (cm) - age (y) - classification (1 = superb, 0 = ok, -1 = bad), e.g. the first line means a person weighs 69 kilo, is 189cm tall at the age of 38 which is "ok".

Now I can import the file "training" and connect it to a neural net. The neural net I connect with the output. RapidMiner trains the net and delivers the weights.

Now how do I test the weights with the test set? Help would be very much appreciated.

Kind Regards
Theo