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Model architecture training and computing error printing error

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In a classification task using Neural Network, I computed the fraction of misclassification as an error. And I am getting a validation error less than the training error? I was trying to find the model with the lowest validation error and select that model. I found the validation error to be less than the training error which is unusual.

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    Hi @DipenPandit, welcome to the site. There are other answers on this site addressing this very same question, for instance: [Validation loss is lower than the training loss](https://datascience.stackexchange.com/questions/39661/validation-loss-is-lower-than-the-training-loss) – noe Jul 02 '23 at 07:56

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