Interface administrators, Administrators (Semantic MediaWiki), Curators (Semantic MediaWiki), Editors (Semantic MediaWiki), Suppressors, Administrators
7,785
edits
Class-imbalanced dataset: Difference between revisions
Created page with "===Introduction== Class imbalance is a frequent issue in machine learning, where one or more classes in a dataset have significantly fewer examples than others. This imbalance makes it difficult for machine learning algorithms to accurately predict the minority class, leading to biased and inaccurate models. This article will define class-imbalanced datasets in machine learning, discuss its challenges, and present various techniques to address this issue. ==Defining a..."
(Created page with "===Introduction== Class imbalance is a frequent issue in machine learning, where one or more classes in a dataset have significantly fewer examples than others. This imbalance makes it difficult for machine learning algorithms to accurately predict the minority class, leading to biased and inaccurate models. This article will define class-imbalanced datasets in machine learning, discuss its challenges, and present various techniques to address this issue. ==Defining a...") |
(No difference)
|