I'm searching for a combination of
specificity cost function because i want have more weight for sensitivity ( sensitivity is more impotent for me rather than specificity). After searching i found this :
Final_Cost = ( (Cb/Cg)/( 1+(Cb/Cg) )*Bg + ( 1/( 1+(Cb/Cg) ) )*Gb
Cb is misclassification cost of positive and
Cg is misclassification cost of negative.
Bg is number of false positive detected and
Ggis number of false negative detected. We should specify
Cb/Cg. Is this a good function for calculating cost? Is there any other better functions?