missing standardization of X_test

[folivetti]

Only X_train was being standardized in evaluate_model.py.

I've just created a variable named X_test_std that was created by:

sc_x = StandardScaler()
X_train = sc_x.fit_transform(X_train)
X_test = sc_x.transform(X_test)

X_test should be transformed using the same scaling as the training data or it will lead to incorrect predictions. It is important that the scaling is done using information only from the training set to avoid contamination that could lead to optimistic scores.

[lacava]

thanks @folivetti, I actually fixed this last week and just pushed the commit (dfec2511daff6091dd011d5c0c43141a0dfa9895)