On Dec 19, 2012, at 4:47 AM, Ivana Cace wrote:
> Packages pROC and ROCR both calculate/approximate the Area Under (Receiver
> Operator) Curve. However the results are different.
>
> I am computing a new variable as a predictor for a label. The new variable is
> a (non-linear) function of a set of input values, and I'm checking how
> different parameter settings contribute to prediction. All my settings are
> predictive, but some are better.
>
> The AUC i got with pROC was much lower then expected, so i tried ROCR. Here
> are some comparisons:
> AUC from pROC AUC from ROCR
> 0.49465 0.79311
> 0.49465 0.79349
> 0.49701 0.79446
> 0.49701 0.79764
>
> When i draw the ROC (with pROC) i get the curve i expect. But why is the AUC
> according to pROC so different?
Why are you sending this to the Rhelp mailing list? You should instead be
reporting it to the package maintainers.
> maintainer('ROCR')
[1] "Tobias Sing <tobias.s...@mpi-sb.mpg.de>"
> maintainer('pROC')
[1] "Xavier Robin <xavier.ro...@unige.ch>"
--
David Winsemius
Alameda, CA, USA
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