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Overfit vs Overparameterize - What's the difference?

overfit | overparameterize | see also |

As verbs the difference between overfit and overparameterize

is that overfit is to use a statistical model that has too many parameters relative to the size of the sample leading to a good fit with the sample data but a poor fit with new data while overparameterize is to use an excessive number of parameters.

overfit

English

(overfitting)

Verb

(overfitt)
  • (statistics) To use a statistical model that has too many parameters relative to the size of the sample leading to a good fit with the sample data but a poor fit with new data.

    • Related terms

    * (l)

    overparameterize

    English

    Alternative forms

    * overparameterise

    Verb

    (overparameteriz)
  • (transitive, intransitive, statistics) To use an excessive number of parameters.

    • See also

    * overfit