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making ROC curve for cost sensitive learning
Contributor IIBest Answer
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yyhuang
Posts: 364 
RM Data Scientist
Hi latii,
I did not notice you were trying to "compare roc". To use the metacost togehter with compare ROCs, you simply put your learners inside metacost nest, and put metacost inside 'compare ROCs'.
The ROCs plot:
The compareROC.rmp is zipped and attached. Feel free to use it.
1
Answers
Hi,
The ROC curve can be generated using 'performance(Bionominal Classification)' operator.
If you open the tutorial process for 'MetaCost' operator from the help page. Replace the 'performance(classification)' with performance (Binominal Classfication), you can select accuracy, AUC, f measure, etc. for your performance outputs.
In the results view for performanceVector, click AUC for the plot of ROC
The roc.rmp is attached for re-generating the plot. Please download and unzip it and import the process in your RM studio.
What GA operator are you trying to use?