Antonio Cruz highlighted Don’t tweak your model after measuring the...

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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

B. Machine Learning Project Checklist
from Hands-On Machine Learning with Scikit-Learn and TensorFlow
by Aurélien Géron
Publisher: O'Reilly Media, Inc.
Released: March 2017

Note

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

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