[R] ROCR - best sensitivity/specificity tradeoff?
cbeleites at units.it
Thu Apr 7 09:23:20 CEST 2011
> 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?
a) look into the performance object, you find all values there
b) have a look at this thread
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