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Can I do that?
I'm trying to do a new "project", but I have some questions that I don't know how to solve them...
I have 5 atributtes with nominal data ( 4 or 5 possible values each one) and my "utopia" is...
- Assign a weight to the attributes and create a model with a learning operator. This model will have to predict 3 different values (Fast, mid, slow) after train it if I give a combination of the attributes.
I tried to use the NaiveBayes algorithm, but I can't assign a weight.
I thinked in tree learning operators, but they don't use ALL the attributes (only 1 or 2)...
Any advice you can give me will be welcomed :-P
PD: Sorry for my bad english :-(