I am currently working on logistic regression in R and I have trained the model but when I am looking at features of model, I am not able to understand what is Null and Residual deviance explains ?
Call: glm(formula = vs ~ wt + disp, family = “binomial”, data = mtcars)
(Intercept) wt disp
1.60859 1.62635 -0.03443
Degrees of Freedom: 31 Total (i.e. Null); 29 Residual
Null Deviance: 43.86
Residual Deviance: 21.4 AIC: 27.4