📕 subnode [[@vera/linear regression]] in 📚 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.

⥅ related node [[linear_regression]]
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