# What Is Overfitting in Machine Learning? The AI Problem That's Too Good to Be True
中文摘要
过拟合是机器学习中的一种问题，指模型在训练数据上表现过度完美，却无法有效推广到新数据。
English Summary
Overfitting is a machine learning problem where models perform too well on training data but fail to generalize to new, unseen data.
原文节选
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