#Logistic Regression

For its accuracy and its communicability, the logistic regression model is one the most frequently used methods in the field of predctive modeling for models in which the dependent variable is binary. Results from logistic regressions are often reported “the academic way”, i.e., in the form of estimates and its standard error. While estimates indeed are interesting, what’s perhaps even more interesting is the accuracy of the model. In this post I will provide you with a number of visualizations we can do to to illustrate this. [Read More]