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Minority class: Difference between revisions
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(Created page with "{{see also|Machine learning terms}} ===Minority Class in Machine Learning== Minority class refers to a classification problem class with fewer instances or samples than its majority counterpart. For instance, in binary classification problems, if the positive class has more instances than the negative one, then it is considered the minority group. Multi-class problems also use this concept; minorities refer to classes with the fewest instances. Class imbalance is a prob...") |
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{{see also|Machine learning terms}} | {{see also|Machine learning terms}} | ||
== | ==Introduction== | ||
Minority class refers to a classification problem class with fewer instances or samples than its majority counterpart. For instance, in binary classification problems, if the positive class has more instances than the negative one, then it is considered the minority group. Multi-class problems also use this concept; minorities refer to classes with the fewest instances. | Minority class refers to a classification problem class with fewer instances or samples than its majority counterpart. For instance, in binary classification problems, if the positive class has more instances than the negative one, then it is considered the minority group. Multi-class problems also use this concept; minorities refer to classes with the fewest instances. | ||