I pretty much see lot of problems that are posted about random forests or other classification algorithms are so much to do with techniques; but i personally feel it looses the important ingredient say complexity of the product/business as such.
I am currently dealing a data set of vehicle financing loan portfolio. I pretty much have lot of variables that are categorical (qualitative), quantitative, and also dichotomous in nature. So i wanted to use selected variables that could be much relevant to predict the default probability of a customers. For which i need to choose the variable. I would be glad, some of you can help me with resources that cites the example and also the interpretation of statistics arising out of random forests.
Please let me know, if you have any relevant R codes that would be helpful for me to fill the gaps.