I have a data set of users and their loan repayment metrics (how long they took, how many installments etc). Now I want to analyse a user's past loan history and say, "If we loan them X they will most likely repay over Y installments, over Z days"
Here is my take
So my question is, what platforms are good for this? I have had a look at Mahout so far.
Well worth taking a look at Weka - it's a reasonably mature open source toolkit with lots of machine learning algorithms, clustering included.
RapidMiner - community edition available for free - easy to use - nice visualizations
http://rapid-i.com/content/view/181/190/
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