What is Attribute in Machine Learning?

Attribute in machine learning is a feature or characteristic of a data set that can be used to make predictions or decisions. Attributes can be either categorical or numerical. Categorical attributes are those that have a finite set of values, such as gender or color. Numerical attributes are those that can take on any number of values, such as height or weight. Attributes can be used to create models that can be used to make predictions or decisions. For example, a model could be created to predict whether or not a customer will purchase a product based on their age, gender, and income.