Label
A Label is the target output or correct outcome variable associated with a training example in supervised learning (e.g. labeling a picture as a "dog" or marking an email as "spam").
Frequently Asked Questions
How does a label differ from a feature?▼
A feature is the input variable fed into the model. A label is the target output variable that the model is trying to predict.
How are labels created?▼
Typically manually by human annotators, or automatically in self-supervised datasets by masking parts of the raw input.
Quick Facts
- CategoryFoundational AI
- Key ApplicationDataset tagging, annotation operations, and supervised training metrics
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