Exporting ROC Curve underlying data
Is there anyway to export the underlying data used to create the ROC curve from the performance operator? I want a table where each row has a decision threshold, TPR, and FPR.
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Altair EmployeeHi,
Converters extension has a operator called ROC Curve to Example Set which does this for you.
Best,
Martin
The converter operator has one parameter - number of evaluation points. How is the converter generating the evaluation points? For example, if I have a dataset with 250 examples, but the evaluation points are set to 500. Is it just extrapolating points from a best fit curve?
Altair EmployeeHi @malcolmhaynes ,
been a while since I dived into this (when writing the AUPRC operator). The short answer is yes. The usual way how we implement a ROC curve is using an interpolation. The code for it is available here: https://github.com/rapidminer/rapidminer-studio/blob/master/src/main/java/com/rapidminer/tools/math/ROCData.java (and in other classes of the math package).
I hope this helps,
Martin
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Altair EmployeeHi,
Converters extension has a operator called ROC Curve to Example Set which does this for you.
Best,
Martin