Hi, My questions concerns the ROCR package and I hope somebody here on the list can help - or point me to some better place.
When evaluating a model's performane, like this: pred1 <- predict(model, ..., type="response") pred2 <- prediction(pred1, binary_classifier_vector) perf <- performance(pred, "sens", "spec") (Where "prediction" and "performance" are ROCR-functions.) How can I then retrieve the cutoff value for the sensitivity/specificity tradeoff with regard to the data in the model (e.g. model = glm(binary_classifier_vector ~ data, family="binomial", data=some_dataset)? Perhaps I missed something in the manual? Or do I need an entirely different approach for this? Or is there an alternative solution? Thanks, Christian -- ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
