📚 node [[one vs all|one vs all]]
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📓 garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/One-Vs.-All.md by @KGBicheno

one-vs.-all

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Given a classification problem with N possible solutions, a one-vs.-all solution consists of N separate binary classifiers—one binary classifier for each possible outcome. For example, given a model that classifies examples as animal, vegetable, or mineral, a one-vs.-all solution would provide the following three separate binary classifiers:

animal vs. not animal
vegetable vs. not vegetable
mineral vs. not mineral
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