In a test where there were $12$ cases where the infection was known to be present $($i$.$e$.,$ actual positives$),$ and $8$ cases where the infection was known to be absent $($i$.$e$.,$ actual negative$).$ Out of $10$ predictions of positive condition of infection by a data mining model, $2$ predictions turned out to be incorrect. Identify the correct statements below $($select all that apply$)$:Group of answer choicesPrecision is $80\%$Misclassification is $20\%$True positives are $5$Recall is $2/3$Accuracy is $70\%$Sensitivity is $80\%$Specificity is $75\%$