Which data split is saved for the final check after tuning on the validation set?

The test set.

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  1. The test set ✔
  2. The training set
  3. The validation set again

Why: You train on the training set and compare versions on the validation set. When the model looks good, the test set gives a last, fresh double-check on data it has not been tuned to.

Huh, didn't know that: Validation and test sets can "wear out": the more you reuse them, the more the model quietly fits them.

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The test set is like the final exam. No peeking, even if the model asks nicely.
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References

Answer: The test set. You train on the training set and compare versions on the validation set. When the model looks good, the test set gives a last, fresh double-check on data it has not been tuned to.

  1. Google ML Crash Course: Dividing the original dataset developers.google.com/machine-learning/crash-course/overfitting/dividing-datasets
    After repeated use of the validation set suggests that your model is making good predictions, use the test set to double-check your model.
    Checked 2026-10-10.
  2. Google ML Crash Course: Dividing the original dataset developers.google.com/machine-learning/crash-course/overfitting/dividing-datasets
    contains no duplicates from the training set
    Checked 2026-10-10.

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