📕 subnode [[@KGBicheno/discriminative_model]]
in 📚 node [[discriminative_model]]
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garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Discriminative_Model.md by @KGBicheno
discriminative model
Go back to the [[AI Glossary]]
A model that predicts labels from a set of one or more features. More formally, discriminative models define the conditional probability of an output given the features and weights; that is:
p(output | features, weights)
For example, a model that predicts whether an email is spam from features and weights is a discriminative model.
The vast majority of supervised learning models, including classification and regression models, are discriminative models.
Contrast with generative model.
📖 stoas
- public document at doc.anagora.org/discriminative_model
- video call at meet.jit.si/discriminative_model