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least squares regression
least squares regression Least squares regression is a method that learns a mapping from input data to target labels by minimizing the average squared difference between predicted outputs and the labels.
Least squares regression is a method that learns a mapping from input data to target labels by minimizing the average squared difference between predicted outputs and the labels. In classification, it projects cases into a label space, but standard forms may separate different classes poorly and may not preserve similarity within the same class.