IPA: /ˈoʊvərˌfɪt/
KK: /ˈoʊvərˌfɪt/
adjective
Definition: Describing a situation where a model is too closely fitted to a specific set of data, resulting in poor performance on new data.
Example: The model was overfit, making it unable to generalize to unseen examples.
noun
Definition: A situation in which a model is too closely tailored to a specific set of data, resulting in poor performance on new data.
Example: The model's tendency to overfit the training data led to inaccurate predictions on the test set.
verb
Definition: To create a statistical model that is too complex for the amount of data available, resulting in a model that works well with the training data but poorly with new, unseen data.
Example: If you overfit your model, it may perform poorly on test data despite being accurate on the training set.