overfit
EnglishEdit
EtymologyEdit
VerbEdit
overfit (thirdperson singular simple present overfits, present participle overfitting, simple past and past participle overfitted)
 (statistics) To use a statistical model that has too many parameters relative to the size of the sample leading to a good fit with the sample data but a poor fit with new data.
 Antonym: underfit
 2004, Mark T.D. Cronin, Predicting Chemical Toxicity and Fate, CRC Press (→ISBN), page 169:
 In all modeling techniques, and neural networks in particular, care must be taken not to overtrain or overfit the model. If possible, models should be interpreted in terms of their mechanistic meaning.
 2007, Kenneth P. Burnham, David R. Anderson, Model Selection and Multimodel Inference: A Practical InformationTheoretic Approach, Springer Science & Business Media (→ISBN), page 250:
 If your strategy is to always fit and use the global model, you will probably overfit the model (i.e., include unnecessary variables).
TranslationsEdit
statistics: to use a statistical model that has too many parameters

