# Terminology * **Feature** - An input variable used to infer things or make predictions. * **Example** - One "row" (or entry) in a data set containing features and possibly labels. * **Label (only for supervised learning)** - An identifier for what an example is. If you're training a machine to detect if a picture contains a cat or not, the label would be the correct answer that you want the machine to be able to answer. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://wiki.omar.engineer/machine-learning/terminology.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.