Class-imbalanced dataset: Difference between revisions

Class-imbalanced dataset (view source)

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	===Introduction==		==Introduction==
	'''Class imbalance''' is a frequent issue in [[machine learning]], where one or more [[class]]es in a [[dataset]] have significantly fewer [[example]]s than others. This imbalance makes it difficult for machine learning [[algorithm]]s to accurately predict the [[minority class]], leading to biased and inaccurate [[models]].		'''Class imbalance''' is a frequent issue in [[machine learning]], where one or more [[class]]es in a [[dataset]] have significantly fewer [[example]]s than others. This imbalance makes it difficult for machine learning [[algorithm]]s to accurately predict the [[minority class]], leading to biased and inaccurate [[models]].