Tobias Sing
2005-Feb-28 14:03 UTC
[R] [R-pkgs] New package: ROCR (Visualizing classifier performance)
Dear R users, we are glad to announce the release of our new R package ROCR, for visualizing the performance of scoring classifiers (available on CRAN). We hope that the package might be useful for those of you working on classification problems. For details, see the package description below, or the ROCR website: http://rocr.bioinf.mpi-sb.mpg.de. You can get a short overview by typing 'demo(ROCR)'. Any kind of feedback (questions, comments, suggestions, bug reports) is very welcome. Best regards, the ROCRs (Tobias Sing, Oliver Sander, Niko Beerenwinkel, Thomas Lengauer) Package description: ------------------------- ROC graphs, sensitivity/specificity curves, lift charts, and precision/recall plots are popular examples of trade-off visualizations for specific pairs of performance measures. ROCR is a flexible tool for creating cutoff-parametrized 2D performance curves by freely combining two from over 25 performance measures (new performance measures can be added using a standard interface). Curves from different cross-validation or bootstrapping runs can be averaged by different methods, and standard deviations, standard errors or box plots can be used to visualize the variability across the runs. The parametrization can be visualized by printing cutoff values at the corresponding curve positions, or by coloring the curve according to cutoff. All components of a performance plot can be quickly adjusted using a flexible parameter dispatching mechanism. Despite its flexibility, ROCR is easy to use, with only three commands and reasonable default values for all optional parameters. __________________________________________________________________________ Tobias Sing phone: +49 681 9325 315 Max-Planck-Institut f?r Informatik fax : +49 681 9325 399 Stuhlsatzenhausweg 85 email: tobias.sing at mpi-sb.mpg.de 66123 Saarbr?cken, Germany web : http://www.tobiassing.net _______________________________________________ R-packages mailing list R-packages at stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-packages