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Glite Dictionary
👥 Extra subgroup data 🎵 Extra signal samples 📊 More data copies
oversampling

oversampling

6.0
Adding more examples of a rare case to a dataset so a model learns better
  • noun
  • /ˌoʊvərˈsæmplɪŋ/
  • Specialized
translation icon : sobremuestreo
  • However, this study can be extended to consider the rare classes which may involve oversampling mechanisms or other similar techniques to create balance in the data.

Examples

  • The researchers used oversampling to ensure that the dataset included enough examples of the minority group for accurate analysis.

  • We stratified random sampling by age, clinical site, hysterectomy status, and race/ethnicity to correct for potential oversampling of minority populations.

    Academic text (2013)

  • By applying oversampling techniques, the team improved the model's ability to predict rare outcomes in their study.

  • In order to enhance the robustness of their findings, they incorporated oversampling as part of the data collection process.

How Often

oversampling
  • Specialized
6.0
sampling rate
  • Specialized
1 4.6

Surface Forms

oversampling singular
oversamplings plural

Morphology

oversampling = oversample (transparent) = over + sample + ing

Formed from 'oversample' + '-ing'; the notion of taking extra copies or more samples is directly expressed by 'over' + 'sample'.

Etymology

The word oversampling comes from the parts over- meaning 'more than' and sample meaning a 'small part' or 'example'. So oversampling is using extra copies or more examples than usual to make analysis or machine learning work better.