For classification (e.g., churn prediction):

Value of a true positive = value of the intervention (e.g., retained revenue) minus the cost of the intervention - Cost of a false positive = cost of the intervention applied to a non-churner - Cost of a false negative = lost revenue from a missed churner - Net model value = (TP x value_per_TP) - (F