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Thread: Find the Most Important Variables In Predictive Models

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    Find the Most Important Variables In Predictive Models




    Hi,

    I have a target variable Y, and twenty predictors (input variables) X1,X2,...,X20. I can predict Y by its predictors X1,X2,...,X20. Predictors are either categorical or continuous. I want to pick 5 top predictors which have the most effect on predicting the target variable.

    Which statistical method and R-package you recommend to pick the most affecting variables in this prediction?


    With many thanks,
    Mojassameh

    P.S. SPSS modeler always shows predictor importance when you choose a model such as neural net. However, in R and it's algorithm is my question.

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    Re: Find the Most Important Variables In Predictive Models


    Many people frown on stepwise regression, if you already know these are significant predictors and are independent of each other, you may want to just use it in this case. Don't know an R package or procedure for this.
    Stop cowardice, ban guns!

  3. The Following User Says Thank You to hlsmith For This Useful Post:

    mojassameh (06-09-2015)

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