issue in model selection

Machine Learning and Modeling
1

Hello,

I am working on a data that has a binary dependent variables and four predictors, 3 of them are numeric and 1 is in binary. I already performed monofactorial test for every single predictor but confused with multifactorial interaction.
I am struggling in model selection that which predictors should I use in interaction? or Can I simply use the backward selection model if I have 3 numeric Independent variable and 1 binary independent variable?

Thanks in advance

2

This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.

If you have a query related to it or one of the replies, start a new topic and refer back with a link.