Classification and regression are both types of supervised machine learning algorithms.

Classification algorithms are used when the output variable is categorical, such as a label or name. Examples of classification algorithms include logistic regression, decision trees, and support vector machines.

Regression algorithms are used when the output variable is continuous, such as a real number. Examples of regression algorithms include linear regression and polynomial regression.

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