error minimization techniques
Question
How do linear and logistic regression differ in their error minimization techniques?
in progress
0
Machine Learning
4 years
1 Answer
1085 views
Member 0
Answer ( 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)