Overfitting
Overfitting is a modeling error in machine learning and statistics where a model captures noise or random fluctuations in training data rather than the underlying pattern. This leads to poor generalization to new, unseen data.
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Overfitting is a modeling error in machine learning and statistics where a model captures noise or random fluctuations in training data rather than the underlying pattern. This leads to poor generalization to new, unseen data.