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I need to know what kind of model i can use when the dependent variable is continuous and independent variables are binary
@balaji_sundaram did you visit http://mod.rapidminer.com/ ?
Yes, but that doesn't talk about time series.
I need to know what kind of model I can use when the dependent variable is continuous and independent variables are binary. The dependent variable is sales and independent variables are months, year and other binary value variables
Hi,
you probably want to window your time series data set first. Afterwards you join the correct labels to predict. That means you have numerical regular attributes (aka continuous depended variables) and a binominal label (aka binary independend variable).
Most algorithm can do this. E.g. SVM, Deep Learning, Random Forest, GBT.
Best,
Martin
