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What kind of model should I use

I am new to the world of datamining and for a school project I have to do an exercise. I have 3 datasets with a total of over 100 variables. Out of these variables I have chosen a couple of relevant ones in regard to the case I am trying to solve. I want to find which ID's are corresponding to the chosen variables, what kind of model do I use to do so?

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MartinLiebig

Hi,

have a look at: http://mod.rapidminer.com/

Cheers,
Martin

saman_de_jong

Looked into it, can't decide which one is the one to go with...

Thomas_Ott

Man...that type of question is like opening a big can of data science whoop ass. The simple and nebulous answer is, it depends.

Think about what you want to optimize on and the business case, then start with the plain vanilla algos like Decision Tree and K-nn. Optimize their parameters. Then evaluate their metrics, and then try different other algorithms. Something like a neural net or a support vector machine.