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  • $\begingroup$ Thanks for the edit and your answer. The accuracy is much better with these features that can't be used in the future. These features are about the customers like what kind of customers and how many bought this specific produit. I don't really know if I can use a classification algorithms in this problem. I will try it and see how I can build it. $\endgroup$ Commented Sep 4, 2017 at 7:01
  • $\begingroup$ If you can't get values to those features or use them later on, then it's meaningless to consider them in the model. Even if the accuracy is high now, if you can't use them later it doesn't make sense to consider it. According to how you described these features, you can't directly predict them unless you have a statistical model, so either find a way to get those values before hand about the customer or go about in another way. $\endgroup$ Commented Sep 6, 2017 at 16:08