Example (machine learning)
The values of one row of features and possibly a label.1
Examples in supervised learning fall into two general categories:
- A labeled example consists of one or more features and a label. Labeled examples are used during training.
- An unlabeled example consists of one or more features but no label. Unlabeled examples are used during inference.
The row of a dataset is typically the raw source for an example. That is, an example typically consists of a subset of the columns in the dataset. Furthermore, the features in an example can also include synthetic features, such as feature crosses.