Unverified60% confidenceFactExact time
The bias-variance tradeoff is the core framework for describing a model's generalization capability: bias measures the systematic deviation of the model's predictions from the true values (underfitting), while variance measures the fluctuation of the model's predictions across different training sets (overfitting).
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60%
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Long-term
Relevance
7/14/2026
First Seen
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AI/ML入门后如何进阶：实习与深造如何选择？
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