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generalization

generalization

1 5.7
A model's ability to do well on new, unseen examples
  • noun
  • /ˌdʒɛnərələˈzeɪʃən/
  • Specialized
: 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
2 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
1 8.1

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

Compounds

1 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
1 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.