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generalization

generalization

1 5.7
A model's ability to do well on new, unseen examples
  • noun
  • /ˌdʒɛnərələˈzeɪʃən/
  • Specialized
translation icon : generalización
  • Effective training enhances a model's generalization, which is crucial for ensuring good performance on real-world tasks.
  • training and generalization
  • assess generalization
  • generalization measures

So those are the basic biases and the methods that allow for generalization.

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Examples

  • Researchers aim to improve the generalization of algorithms so they can adapt well to data they haven't encountered before.

  • One of the strengths of progress monitoring is that no generalization from the research base is required.

    Academic text (2012)
  • Such experiences can promote the generalization of skills and, as the authors note, be fun for students.

    Academic text (2015)
  • Only four of the 16 studies measured the generalization of pretend play.

    Academic text (2015)
  • The use of a questionnaire would also allow for the generalization of research findings.

    Academic text (2015)
  • Their second main advantage is that they possess inherent generalization ability when trained properly.

    Academic text (2013)
  • The study is restricted by some limitations that hinder the generalization of its results.

    Academic text (2015)
  • Examination of Table 5 hints at the generalization of decoding skills for the students with disabilities.

    Academic text (2015)
  • Additionally, we evaluated the target students' generalization of the KWHL chart across lessons and units of science instruction.

    Academic text (2012)
  • The few studies that have assessed the generalization of auditory learning in children have yielded conflicting results.

    Academic text (2012)

Synonyms

generality
vsgeneralization
3 6.3

A quality that makes something useful in many situations

focuses on doing well on new unseen data rather than broad scope
generalizability
vsgeneralization
  • Specialized
1 8.7

How well results apply to other people or situations

focuses on model performance on new unseen data rather than broad applicability

Antonyms

overfitting
  • Specialized
8.1

A model that learns the training data too well and fails on new data

Compounds

7.7

To react the same way to things that look or sound like what you learned

How Generalizable

generalization
  • Specialized
1 5.7
overfitting
  • Specialized
8.1

Surface Forms

Morphology

generalization = generalize (semi-transparent) = general + ize + ation

Morphologically regular, but the machine-learning sense (model performance on unseen data) is a technical extension of 'making general' that may be unfamiliar to learners.

Etymology

Generalization comes from the word general, meaning 'apply to a type or many cases'. In machine learning it means a system learned from examples can work on new, similar data, so the origin helps you remember it is about applying learning more widely.