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Consider the following scenario. You are building a classification model with many hyper parameters on a relatively small dataset. You will see that the training

Consider the following scenario. You are building a classification model with many hyper

parameters on a relatively small dataset. You will see that the training error is extremely small.

Can you fully trust this model? Discuss the reason.

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