Unformatted text preview: of regression models: 1) Linear regression models 2) Regression trees (NOT model trees) 3) Neural networks In each category you are to build the best possible model using the root mean squared (RMS) error as your evaluation criterion. Use 10fold crossvalidation to compute the error. Make sure you explain your choice of model parameters and the tradeoffs you have made. Which one of the models is your best model overall? Handing in your assignment Write a description of your experiments and your findings and submit this together with your models. The due date is Friday, November 21 st in class....
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 Spring '11
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 Computer Science, Linear Regression, Regression Analysis, Data Mining, main memory

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