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Statistical vs Overfit - What's the difference?

statistical | overfit |

As an adjective statistical

is of or pertaining to statistics.

As a verb overfit is

(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.

statistical

English

Adjective

(en adjective)
  • Of or pertaining to statistics.
  • *{{quote-magazine, date=2012-03
  • , author= , title=Pixels or Perish , volume=100, issue=2, page=106 , magazine= citation , passage=Drawings and pictures are more than mere ornaments in scientific discourse. Blackboard sketches, geological maps, diagrams of molecular structure, astronomical photographs, MRI images, the many varieties of statistical charts and graphs: These pictorial devices are indispensable tools for presenting evidence, for explaining a theory, for telling a story.}}

    Derived terms

    * statistical analysis * statistical inference * statistical mechanics * statistical significance

    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.