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Being a machine learning program, how much of it did you tell it to forget?

Were you compounding the data always, or telling it to forget what was going on several months ago? Or somewhere in between?

(I'm pretty unfamiliar with machine learning, apologies if this is obvious or something)



This. If the 2009 model worked well, did you try letting your algorithm to 'forget' the 2010 data and see if the model worked better?




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