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Bias-Variance Tradeoff
Bias-Variance Tradeoff
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A model that achieves near-zero training error but high test error is typically exhibiting what?
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A.
Perfect generalization: zero training error means the model has learned the true data-generating process
B.
Overfitting: the model has memorized the training set and fails to generalize to unseen data
C.
Data leakage: the test set has contaminated the training distribution
D.
Underfitting: the model is too simple to capture the training set
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