making ROC curve for cost sensitive learning
Find more posts tagged with
Sort by:
1 - 4 of
41
Altair EmployeeHi 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.
Altair EmployeeSort by:
1 - 1 of
11
Altair EmployeeHi 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.
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.