Monday, December 7, 2015

ML notes : linear regression vs logistic regression

In the linear regression model the dependent(output) variable y is
considered continuous, whereas in logistic regression it is
categorical, i.e., discrete. In application, the former is used in
regression settings while the latter is used for binary classification
or multi-class classification (where it is called multinomial logistic

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