error minimization techniques


How do linear and logistic regression differ in their error minimization techniques?

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Rohitsingh 5 months 1 Answer 267 views Member 0

Answer ( 1 )

  1. Linear regression normally uses ordinary least squares method to minimize the
    errors and arrive at a best possible fit, while logistic regression uses maximum
    likelihood method to arrive at the solution (you can use maximum likelihood too for LR if
    you want)

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