In machine learning, an observation refers to a single instance of data in a dataset. Each observation consists of several features and, in supervised learning, a target label.

Importance of Observations in Machine Learning

Observations are the basic units from which machine learning models learn. In supervised learning, models use observations to learn the relationships between features and the target variable. The quality and quantity of observations significantly impact the model's performance.

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