Define Logistic Regression In Ml. The output of Logistic Regression problem can be only between the 0 and 1. Except now we are dealing with classification problems as opposed to regression problems so well be predicting probability distributions as opposed to a discrete value.
Logistic regression works with binary data where either the event happens 1 or the event does not happen 0. For example it may be used to determine if an email is spam or not using the rate of misspelled words a common sign of spam. It establishes a relation between dependent class variables and independent variables using regression.
It is mostly used for finding out the relationship between variables and forecasting.
Jun 15 2020 You can think of multinomial logistic regression as logistic regression more specifically binary logistic regression on steroids. Logistic regression works with binary data where either the event happens 1 or the event does not happen 0. It establishes a relation between dependent class variables and independent variables using regression. Logistic regression is a classification algorithm used to assign observations to a discrete set of classes.
