I am working on stock price prediction project, I am using the support vector regression (SVR) model for it.
As I am splitting my data into train and test, I am getting high accuracy while predicting test data after fitting the model.
But now when I am trying to use another data which I separate out from the used dataset before start doing anything, it gives me very bad results. Can anyone tell me what's happening?
Looking forward to your response.