A learning curve showing high train and val error as data grows sug…

Question

A learning curve showing high train and val error as data grows suggests:

Accepted Answer

High bias/underfitting — consider richer features or more flexible models — Both errors high → underfit/high bias. Overfit is low train / high val error.

Answer

Pure overfitting only

Answer

Perfect model

Answer

That AUC is necessarily 1.0

A learning curve showing high train and val error as data grows suggests:

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Full Explanation