« Méthode des moindres carrés ordinaires » : différence entre les versions


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[https://deepai.org/machine-learning-glossary-and-terms/ordinary-least-squares  Source : DeepAI.org ]
[https://deepai.org/machine-learning-glossary-and-terms/ordinary-least-squares  Source : DeepAI.org ]
[[Catégorie:DeepAI.org]]


[[Catégorie:vocabulary]]
[[Catégorie:vocabulary]]

Version du 15 décembre 2020 à 18:08

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Définition

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Français

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Anglais

Ordinary Least Squares

Ordinary Least Squares is a form of statistical regression used as a way to predict unknown values from an existing set of data. An example of a scenario in which one may use Ordinary Least Squares, or OLS, is in predicting shoe size from a data set that includes height and shoe size. Given the data, one can use the ordinary least squares formula to create a rate of change and predict shoe size, given a subject's height. In short, OLS takes an input, the independent variable, and produces an output, the dependent variable.



Source : DeepAI.org