Dummy variable (statistics)

In regression analysis, a dummy variable (also known as indicator variable or just dummy) is one that takes a binary value (0 or 1) to indicate the absence or presence of some categorical effect that may be expected to shift the outcome. In machine learning this is known as one-hot encoding.

Source: Wikipedia — Dummy variable (statistics) (CC BY-SA 4.0)

Dummy variable (statistics)

In regression analysis, a dummy variable (also known as indicator variable or just dummy) is one that takes a binary value (0 or 1) to indicate the absence or presence of some categorical effect that may be expected to shift the outcome. In machine learning this is known as one-hot encoding.

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Source: Wikipedia "Dummy variable (statistics)" · CC BY-SA 4.0

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