The data imbalance
Exemple : Data imbalance occurs when classes are unevenly represented in datasets
Definition
"The data imbalance" refers to a situation in datasets where certain classes or categories are represented much more frequently than others, leading to uneven distribution. This imbalance can negatively impact the performance of machine learning models by biasing them toward the majority class.
Étymologie
The term "the data imbalance" combines 'data,' derived from the Latin 'datum' meaning 'something given,' with 'imbalance,' which comes from the prefix 'im-' meaning 'not' and 'balance' from Old French 'balancer,' meaning 'to weigh or swing evenly.' Together, it describes a condition where data is not evenly distributed.
Apprenez à utiliser ce mot dans la pratique
"The data imbalance" figure dans la liste Vocaplus "Anglais - Données et IA - (A1-C2) - partie 1", qui contient 110 mots fréquemment utilisés.
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