Skip to main content
Glite Dictionary
💪 To exercise too much 🤖 To train too much
to overtrain

to overtrain

7.4
To make a computer program learn so much from its example data that it fails on new data
  • verb
  • /ˌoʊvərˈtreɪn/
  • Specialized
translation icon : sobreajustar
  • The team realized they had overtrained their algorithm, causing it to memorize the training set.

Examples

  • To avoid overtraining, use techniques like cross-validation and regularization.

  • If you overtrain the model, it may not perform well on new data.

  • You should not overtrain your model!

  • The algorithm can overtrain if given too much data.

  • If you overtrain the model, it may not perform well on new data.

  • The team realized they had overtrained their algorithm, causing it to memorize the training set.

  • To ensure optimal performance, avoid letting your model overtrain on the same dataset.

Synonyms

to overfit
vsto overtrain
  • Specialized
8.4

Make a model memorize the training data so it does not work well on new data

focuses on excessive training that causes learning of noise and poor new data performance
to overlearn
vsto overtrain
  • Specialized
8.0

Practice something so much that you only remember exact answers and cannot adapt

describes excessive algorithm training that makes models learn noise and fail on new data

How General

to train
  • Specialized
5 4.2
to overtrain
  • Specialized
7.4

Surface Forms

overtrain infinitive
overtrained past
overtrained past participle
overtraining present participle
overtrains third person singular

Morphology

overtrain = train (transparent) = over + train

The ML sense is a direct application of 'train too much' to models; morphologically compositional though domain-specific.

Etymology

Overtrain comes from over- meaning 'too much' and train meaning 'to teach or practice'. For computer models it means to teach them too much on the same examples so they 'memorize' those examples and do poorly on new data.