Which of the following evaluation metrics can be used to evaluate a model with categorical

output variable with more than two categories? $($check tree best answers$)$

sensitivity $($true positive rate, recall$)$

deviance

cross$-$entropy

accuracy $($proportion of correctly predicted outputs$)$

AUC and ROC

root mean squared error

specificity $($true negative rate$)$

false positive rate