Validation set

The subset of the dataset that performs initial evaluation against a trained model. Typically, you evaluate the trained model against the validation set several times before evaluating the model against the test set.

Traditionally, you divide the examples in the dataset into the following three distinct subsets:

Ideally, each example in the dataset should belong to only one of the preceding subsets. For example, a single example shouldn’t belong to both the training set and the validation set.1

Footnotes

  1. developers.google.com/machine-learning/glossary#validation-set

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