For questions related to the validation of a machine learning model, which is different from testing a model, which is done after training. Validation is usually performed for early stopping (i.e. assess when the model is over-fitting) or hyper-parameter optimization during training. However, often people use (either correctly/intensionally or not) the terms "validation" and "testing" interchangeably, so context needs to be taken into account.

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