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you can overfit the cross-validation criterion as the model is tuned in ways that exploit this random variation rather than in ways that really do improve performance. میشه مفهومش رو برام توضیح بدید؟
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معنی جمله زیر: This can prevent the model from continuing to adapt to the training data once the validation error stops decreasing.
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