Question: A classification model's misclassification rate on the validation set is a better measure of the model's predictive ability on new (unseen) data than its misclassification

A classification model's misclassification rate on the validation set is a better measure of the model's predictive ability on new (unseen) data than its misclassification rate on the training set. Explain whether this statement is accurate and why that is so.

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