Question: Using the concept of overfitting, explain why when a model is fit to training data, zero error with those data is not necessarily good

Using the concept of overfitting, explain why when a model is
fit to training data, zero error with those data is not necessarily

Using the concept of overfitting, explain why when a model is fit to training data, zero error with those data is not necessarily good

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