overfitting

Overfitting is a modeling error that occurs when a machine learning algorithm or model is trained too well on a particular dataset and begins to fit the noise or random fluctuations in the data rather than the underlying patterns. As a result, the model becomes overly complex and unable to generalize well to new data, resulting in poor predictive performance.

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