Technical term in mathematics and machine learning, describing a model that fits training data too closely and fails to generalize.
To prevent overfitting, a technique called regularization is often used.
This model is overfitting to the training data, and its accuracy drops on new data.
Synonym for overfitting, also used in machine learning contexts.
Underfitting, the opposite problem where a model is too simple to capture the underlying pattern.
Compound of 過剰 (excess) and 適応 (adaptation), directly translating the English term 'overfitting'.