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Addressing Overfitting in Machine Learning

Overfitting in machine learning occurs when models memorize training data without understanding the underlying patterns, leading to poor performance on unseen data. This issue hinders the development of robust and generalizable models. It is a significant problem in the field of machine learning.

Computing & Technology, Computer Science, Machine Learning