overfitting

1. overfitting: Information and Much More from Answers.com:

"In statistics, overfitting is fitting a statistical model that has too many parameters. An absurd and false model may fit perfectly if the model has enough complexity by comparison to the amount of data available. Overfitting is generally recognized to be a violation of Occam's razor. When the degrees of freedom in parameter selection exceed the information content of the data, this leads to arbitrariness in the final (fitted) model parameters which reduces or destroys the ability of the model to generalize beyond the fitting data. ..."

2. 과다적합, 과잉맞춤(출처 하나: 데이터 마이닝의 기법), 과적합....