I have a Logisitc Regression model with a McFadden Pseudo-$R^2=0.7113$. Based on the answers to this question: McFadden's Pseudo-R2 Interpretation, it seems my model has a good fit. However if I want to present this result in a report, what is the interpretation of good fit? According to this link: http://www.statisticalassociates.com/logistic10.htm, Pseudo-$R^2$ is NOT a measure of percent of variance explained in the dependent variable by the model. This is exactly what I thought it was but apparently it is wrong.