๐Ÿ“š node [[linear regression]]


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linear regression

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Using the raw output y^1 of a linear model as the actual prediction in a regression model. The goal of a regression problem is to make a real-valued prediction. For example, if the raw output y^1 of a linear model is 8.37, then the prediction is 8.37.

Contrast linear regression with logistic regression. Also, contrast regression with classification.

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๐Ÿ“– stoas (collaborative spaces) for [[linear regression]]