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For most machine learning algorithms, overfitting happens when the model complexity or training time is too high.
For k-nearest neighbors, it happens when k is too low (e.g., 1).
For most machine learning algorithms, overfitting happens when the model complexity or training time is too high.
For k-nearest neighbors, it happens when k is too low (e.g., 1).