📚 node [[positive_class]]
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garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Positive_Class.md by @KGBicheno
positive class
Go back to the [[AI Glossary]]
In binary classification, the two possible classes are labeled as positive and negative. The positive outcome is the thing we're testing for. (Admittedly, we're simultaneously testing for both outcomes, but play along.) For example, the positive class in a medical test might be "tumor." The positive class in an email classifier might be "spam."
Contrast with negative class.
📖 stoas
- public document at doc.anagora.org/positive_class
- video call at meet.jit.si/positive_class
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