Chewing on logistic regression
In this article, we will analyze the theoretical calculations of transforming a linear regression function into an inverse logit transformation function (in other words, a logistic response function). Then, using the arsenal of the maximum likelihood method, in accordance with the logistic regression model, we will derive the Logistic Loss function, or in other words, we will define the function with which the parameters of the weight vector are selected in the logistic regression model […]