Definitely the easiest way to proceed is that if you have the original dataset from which these values are drawn, then you can use the various Performance operators to generate the ROC curve from the underlying data (e.g., scored records and a corresponding label and from that RapidMiner will calculate its own version of threshold, sensitivity, and specificity to draw the ROC curve). Otherwise, you could simply load this as a dataset and then use Studio's graphing capability to draw graph of it, although you may need to play around with the options quite a bit to actually make it look like an ROC curve.
Brian T. Lindon Ventures Data Science Consulting from Certified RapidMiner Experts
Answers
Otherwise, you could simply load this as a dataset and then use Studio's graphing capability to draw graph of it, although you may need to play around with the options quite a bit to actually make it look like an ROC curve.
Lindon Ventures
Data Science Consulting from Certified RapidMiner Experts