a scenario in AI where a model performs well on training data but poorly on unseen data due to excessive complexity or noise in the training set. This results in the AI system performing poorly in real world applications.
a scenario in AI where a model performs well on training data but poorly on unseen data due to excessive complexity or noise in the training set. This results in the AI system performing poorly in real world applications.