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The script receives 9 arguments:
evaluation: User evaluation to inspect
class-name: Name of the positive class, or the class to inspect
cost-FP: False positive cost
cost-FN: False negative cost
cost-TP: True positive cost
cost-TN: True negative cost
benefit-TP: True positive benefit
perc-retention: Percentage (0-1) of retention in TPs
dataset-name: Name of the resources (Source inline and Dataset)
And returns as output a dataset-id which header is: "Threshold,TP,FP,TN,FN,Cost_Fx,Cost_Benefits"