A labeled example is a training example that includes both input features and the correct target label. Labeled examples are used in supervised learning to teach a model how inputs should map to outputs.
An example that contains one or more features and a label. For example, the following table shows three labeled examples from a house valuation model, each with three features and one label: Number of bathrooms House price (label) | ------| 2 $345,000 | 1 $179,000 | 2 $392,000 | In supervised machine learning, models train on labeled examples and make predictions on unlabeled examples. Contrast labeled example with unlabeled examples. See Supervised Learning in Introduction to Machine Learning for more information.