CT-AI Question 15

Community Discussion

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• Chose B0

  - The validation set is used during development to tune hyperparameters, select architectures, and choose between candidate models. The test set is held back and used only once for the final, unbiased performance estimate; using the test set for tuning would cause information leakage and inflate the reported metric. The training set fits the model parameters. Drift detection happens in production with monitoring, not the validation set.