I'm guessing by classification accuracy they mean that you predict the outcome to be 0 if the predicted probability is less than .5 and predict it to be 1 if the predicted probability is >= .5 (I guess one could toy with the cutoff to find the optimal accuracy). Then you can look at the proportion of cases you correctly predicted - call that your classification accuracy.