The data imbalance
Example: 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.
Etymology
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.
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"The data imbalance" appears in the Vocaplus list "English - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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