What is Logistic Regression Used for? -

What is Logistic Regression Used for? - logistic regression Linear regression uses mean squared error as its cost function If this is used for logistic regression, then it will be a non-convex function ceva logistics Logistic Regression is one of the most simple and commonly used Machine Learning algorithms for two-class classification It is easy to implement and can be

ceva logistics In natural language processing, logistic regression is the base- line supervised machine learning algorithm for classification, and also has a very close

logistic regression Logistic regression is a supervised machine learning classification algorithm that is used to predict the probability of a categorical dependent variable The Logistic regression, in statistics, a method for modeling conditional probabilities with discrete outcomes