« Dummy Variable » : différence entre les versions
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''' | ''' Dummy Variable''' | ||
Generally, a dummy variable is a placeholder for a variable that will be integrated over, summed over, or marginalized. However, in machine learning, it often describes the individual variables in a one-hot encoding scheme. Thus, dummy or Boolean variables are qualitative variables that can only take the value 0 or 1 to indicate the absence or presence of a specified condition. These “truth” variables are used to sort data into mutually exclusive categories or to trigger off/on commands. | |||
<small> | <small> | ||
[https://deepai.org/machine-learning-glossary-and-terms/ | [https://deepai.org/machine-learning-glossary-and-terms/dummy-variable Source : DeepAI.org ] | ||
[[Catégorie:DeepAI.org]] | [[Catégorie:DeepAI.org]] | ||
[[Catégorie:vocabulary]] | [[Catégorie:vocabulary]] |
Version du 15 décembre 2020 à 18:22
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Définition
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Anglais
Dummy Variable
Generally, a dummy variable is a placeholder for a variable that will be integrated over, summed over, or marginalized. However, in machine learning, it often describes the individual variables in a one-hot encoding scheme. Thus, dummy or Boolean variables are qualitative variables that can only take the value 0 or 1 to indicate the absence or presence of a specified condition. These “truth” variables are used to sort data into mutually exclusive categories or to trigger off/on commands.
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