Related Question 4
In machine learning, what does "overfitting" refer to?
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A.
The model performs well on training data but poorly on new data
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B.
Model generalizes well to unseen data
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C.
Insufficient training iterations
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D.
A data normalization technique
Correct Answer: A
Explanation:
Overfitting means the model has learned noise or specific patterns of training data and fails to generalize to new data.