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That in no way prevents overfitting though hyperparameter optimization / graduate student descent. All the common benchmarks, by definition of being a common be
by version_five 3y ago
That in no way prevents overfitting though hyperparameter optimization / graduate student descent. All the common benchmarks, by definition of being a common benchmark, are susceptible to overfitting
- sebzim4500 3y agoThe idea is that you do all your hyperparameter optimization with the test data and then only run through the validation data once before you submit your paper.
- ummonk 3y agoThat's why you split it 3-way into train, validation, and test datasets, to ensure you didn't use too many hyperparameters and overfit to the validation data.