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Informally, a model that generates a numerical prediction. (In contrast, a classification model generates a class prediction.) For example, the following are all regression models:1

  • A model that predicts a certain house’s value, such as 423,000 Euros.
  • A model that predicts a certain tree’s life expectancy, such as 23.2 years.
  • A model that predicts the amount of rain that will fall in a certain city over the next six hours, such as 0.18 inches.

Not every model that outputs numerical predictions is a regression model. In some cases, a numeric prediction is really just a classification model that happens to have numeric class names. For example, a model that predicts a numeric postal code is a classification model, not a regression model.1

Types of regression models

  • Linear regression, which finds the line that best fits label values to features.
  • Logistic regression, which generates a probability between 0.0 and 1.0 that a system typically then maps to a class prediction.

Footnotes

  1. developers.google.com/machine-learning/glossary#regression_model 2

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