Chewing over logistic regression
In this article, we will discuss the theoretical derivation of transforming the linear regression function into the inverse logit transformation function (also known as the logistic response function). Then, utilizing the arsenal of the maximum likelihood method, according to the logistic regression model, we will derive the Logistic Loss function, or in other words, we will define the function that is used to optimize the weight vector parameters in the logistic regression model […]
