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Overfitting
CrossValidation
Regularization
EarlyStopping
EnsembleMethods
DataAugmentation

What is overfitting in the context of machine learning models? How can it be identified, and what techniques can be used to prevent it?

machine learning
Junior Level

Overfitting occurs when a model learns not only the underlying patterns in the training data but also the noise and randomness present in that specific dataset. This results in a model that **performs very well on the...