| Classification | Regression |
- Classification is the task to predict a discrete class label.
| - Regression is the task to predict a continuous quantity.
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- In a classification problem, data is labeled into one of two or more classes.
| - A regression problem needs the prediction of a quantity.
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- A classification having problem with two classes is called binary classification, and more than two classes is called multi-class classification
| - A regression problem containing multiple input variables is called a multivariate regression problem.
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- Classifying an email as spam or non-spam is an example of a classification problem.
| - Predicting the price of a stock over a period of time is a regression problem.
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