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selection

selection

29 4.4
Choosing the most useful input data for a computer model
  • noun
  • /sɪˈlɛkʃən/
  • Specialized
translation icon : selección
  • The use of forward, backward, and stepwise selection procedures yielded the same set of significant factors.
  • variable selection
  • selection methods
  • selection criteria

Examples

  • All the above criteria are met by the method of selection described in this article.

    Academic text (1999)
  • The reviewers met to discuss any uncertainties regarding study selection, which occurred in less than 10% of studies.

    Academic text (2017)
  • - I can help with the selection process.

  • I think it's my selection process.

  • The first step in this research selection process was to identify studies cited in political science research.

    Academic text (2013)
  • I intend to start the selection process for Lancelot's replacement tomorrow.

  • The latter approach leads to the selection of multiple markers per LD block.

    Academic text (2017)
  • The specificities of this dataset selection process will be explained in a further paper.

    Academic text (2017)
  • In machine learning, effective selection of features can significantly enhance model accuracy.

  • The selection of input variables is crucial for reducing overfitting in predictive models.

Compounds

natural selection
  • Specialized
43 3.9

A process in which plants and animals better suited to their home survive and have more young

A large variety of things to choose from

adverse selection
  • Specialized
1 8.1

One side in a deal knows more than the other, causing unfair deals

unnatural selection
  • Specialized
7.7

Human actions decide which animals or plants live and reproduce rather than nature

Surface Forms

selection singular
selections plural

Morphology

selection = select (transparent) = select + ion

Technical application in machine learning but formed by the productive noun-forming suffix '-ion' on 'select' to indicate the act/result of choosing features.

Etymology

Selection comes from the root select, meaning 'choose', and in machine learning it means 'picking' the most useful pieces of information or features. So feature selection is choosing the best inputs to help a model work well.