Which measure is most important for evaluating the performance of classifiers, models that predict class membership?

Hosmer$-$Lemeshow statistic

Root mean squared error $($RMSE$)$

Area under the receiver operating characteristic $($ROC$)$ curve

Percentage of correctly classified cases