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Overfitting and Underfitting
Overfitting and Underfitting
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What characterizes overfitting in a machine learning model?
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A.
The model achieves high training error but unexpectedly low test error on held-out data
B.
The model takes too long to converge during the iterative training process on the given hardware
C.
The model has high training error and high test error, failing to fit any data well
D.
The model has low training error but high test error, indicating poor generalization
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