An unlabeled example is a data example that contains input features but no associated target label. It may be used for inference, unsupervised learning, semi-supervised learning, or later annotation.
An example that contains features but no label. For example, the following table shows three unlabeled examples from a house valuation model, each with three features but no house value: Number of bathrooms --- 2 1 2 In supervised machine learning, models train on labeled examples and make predictions on unlabeled examples. In semi-supervised and unsupervised learning, unlabeled examples are used during training. Contrast unlabeled example with labeled example.