In machine learning, a label, also referred to as a target or an outcome, is the value that you're trying to predict or classify for a given input or set of [[input feature|input features]]. Labels are an essential part of [[supervised learning]], where the model is trained on labeled data to learn patterns and relationships between input features and their corresponding labels. The process of [[training]] a [[machine learning model]] involves using the input features to predict or classify the labels. [[input feature]] < [[Hands-on LLMs]]/[[1 Machine Learning Basics]] > [[training]]