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    Question Identifying relevant predictors and interactions




    I have a data set comprising of 12,000 observations and 1,100 potential predictors (continuous and nominal) for a binary outcome/target variable.

    The research question is to identify interesting predictors and interactions for the binary outcome/target variable.

    Given the large number of potential predictors, I would like to exclude irrelevant predictors before modelling the data. Can somebody please recommend methods for feature selection that take interactions into account?
    Last edited by Edwin_C; 11-23-2015 at 06:07 AM.

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