# What does it imply when the sensitivity = 1.000 and specificity = 0.000?

What adjustments do I need to make when I have extreme values in the confusion matrix as stated above i.e
sensitivity = 1 and specificity = 0?

Sensitivity $$=1= 1$$ means you had some true positives and no false negatives: all actual cases were correctly predicted as positive
Specificity $$=0= 0$$ means you had some false positives and no true negatives: all actual non-cases were incorrectly predicted as positive