Deviance Logistic Regression R. Logistic regression is an instance of classification technique that you can use to predict a qualitative response. In logistic regression the model predicts the logit transformation of the probability of the event.
Stepwise Logistic Regression with R Akaike information criterion. Or rather its a measure of badness of fithigher numbers indicate worse fit. Log p X 1-p X β0 β1X1 β2X2 βpXp.
23467 on 188 degrees of freedom Residual deviance.
Since logistic regression uses the maximal likelihood principle the goal in logistic regression is to minimize the sum of the deviance residuals. The dependent variable should have mutually exclusive and exhaustive categories. The smaller the deviance the closer the fitted value is to the saturated model. Logistic regression uses a method known as maximum likelihood estimation to find an equation of the following form.
