How does insufficient training data volume contribute to the overfitting problem?
Answer
The model defaults to memorization because there are fewer constraints guiding it toward generalization.
When the training set is too small, the model does not encounter enough variation to distinguish between true structure and random chance, leading it to memorize the limited examples presented.
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