You should evaluate a model by using the same data used to train the model.
The correct answer is False.
You should not evaluate a model using the same data that was used to train it. This can lead to overfitting, where the model performs well on the training data but poorly on new, unseen data. Instead, you should evaluate the model using a separate dataset (often called a validation or test set) to get an accurate assessment of its performance on new data.
You should not evaluate a model using the same data that was used to train it. This can lead to overfitting, where the model performs well on the training data but poorly on new, unseen data. Instead, you should evaluate the model using a separate dataset (often called a validation or test set) to get an accurate assessment of its performance on new data.
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