O'Reilly logo
  • Antonio Cruz thinks this is interesting:

Don’t tweak your model after measuring the generalization error: you would just start overfitting the test set.

From

Cover of Hands-On Machine Learning with Scikit-Learn and TensorFlow

Note

Not too problematic for k-fold cross-validation (I'm assuming)