Features are the measurable properties or characteristics of a particular data point that are used to make predictions or decisions. Features are also known as covariates or independent variables.

In machine learning, features are used to represent different aspects of the data that are relevant for making decisions or predictions. By analyzing and manipulating features, machine learning algorithms can generate insights and make predictions based on patterns and relationships within the data.

Examples

In a simple classification problem where the goal is to predict whether or not a loan applicant is likely to default on their loan, the features might include the applicant's income, credit score, debt-to-income ratio, employment status, and past payment history.