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I first divide the dataset into training (75%) and test (25%). Then fit a logistic regression model on training data set. When fitting the model, I did some modification on independent variable, such as normalization, transformation stuff. Now I have the model and ready to test it using test data set. But do I need to do the same transformation to the independent variable in the test data set?

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    $\begingroup$ Your fitted model links its input with your observations. If you transformed the input before fitting the model, it will not make sense for untransformed inputs. So: yes, you do need to apply the same transformation to the test set inputs. $\endgroup$
    – Stephan Kolassa
    Jan 11, 2013 at 22:27

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