What machine learning algorithms can be used in this scenario?

Posted by ExceptionHandler on Stack Overflow See other posts from Stack Overflow or by ExceptionHandler
Published on 2012-12-19T04:20:57Z Indexed on 2012/12/19 5:03 UTC
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machine-learning

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data-mining

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weka

My data consists of objects as follows.

Obj1 - Color - shape - size - price - ranking

So I want to be able to predict what combination of color/shape/size/price is a good combination to get high ranking. Or even a combination could work like for eg: in order to get good ranking, the alg predicts best performance for this color and this shape. Something like that.

What are the advisable algorithms for such a prediction?

Also may be if you can briefly explain how I can approach towards the model building I would really appreciate it. Say for eg: my data looks like

Blue pentagon small $50.00 #5
Red  Squre    large $30.00 #3

So what is a useful prediction model that I should look at? What algorithm should I try to predict like say highest weightage is for price followed by color and then size. What if I wanted to predict in combinations like a Red small shape is less likely to higher rank compared to pink small shape . (In essence trying to combine more than one nominal values column to make the prediction)

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