Feature selection - maximize recall performance
I'm a bit out in the blue on this one. How is it possible to maximize the recall performance metric in the feature selection phase with the Automate Feature Selection operator? Normally when I use this operator I minimized the classification error metric and then it don't generate any errors. Though when I try with the recall performance metric it throws an error. So I guess I'm not using the correct operator for maximize the recall in the feature optimize phase, but if someone could point in the right direction that would be nice.