Dear Data Scientists. Please, do not get fooled by false claims that logistic regression is not a regression, if you don't want to fail interviews led by people with statistical background. So, let's clarify this briefly:
Regression is a statistical procedure for estimating the conditional expected response based on the relationship between DV and IVs. That fits the historic context of "regression towards the mean" by Galton. And that's exactly what LR does (recall what is the expectation here).
The logistic regression is an instance of the Generalized Linear Model with binomial response, namely it's the Binomial Regression. It has 2 cases, depending on the form of the link function: Logistic and Probit regression. Itself is does nothing with classification. Classification is an application of it, if a threshold is defined for the probability.
There is also ordinal and multinomial regression, for DV with more than 2 ordered and unordered categories, respectively. Both logit and probit link are used here too.
You may be interested in the history of the LR:
https://lnkd.in/gYChNvt
#DataScience #Statistics #RockYourR #MachineLearning
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv\
Regression is a statistical procedure for estimating the conditional expected response based on the relationship between DV and IVs. That fits the historic context of "regression towards the mean" by Galton. And that's exactly what LR does (recall what is the expectation here).
The logistic regression is an instance of the Generalized Linear Model with binomial response, namely it's the Binomial Regression. It has 2 cases, depending on the form of the link function: Logistic and Probit regression. Itself is does nothing with classification. Classification is an application of it, if a threshold is defined for the probability.
There is also ordinal and multinomial regression, for DV with more than 2 ordered and unordered categories, respectively. Both logit and probit link are used here too.
You may be interested in the history of the LR:
https://lnkd.in/gYChNvt
#DataScience #Statistics #RockYourR #MachineLearning
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv\