regression
people.eecs.berkeley.edu · 1,831 words · saved by 1 readers
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54 Jonathan Richard Shewchuk 10 Regression, including Least-Squares Linear and Logistic Regression REGRESSION aka Fitting Curves to Data Classification: given point x, predict class (often binary) Regression: given point x, predict a numerical value [Classification gives a discrete prediction, whereas regression gives us a quantitative prediction, usually on a continuous scale. We’ve already seen an example of regression in Gaussian discriminant analysis. QDA and LDA don’t just estimate a classifier; they also give us the probability that…
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