Description:

Visualizing the performance of scoring classifiers.: 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.

Changes to previous version:

Fetched by r-cran-robot on 2013-04-01 00:00:08.344833

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Tags: R-Cran

Archive: download here

Other available revisons

Version	Changelog	Date
1.0-4	Fetched by r-cran-robot on 2013-04-01 00:00:08.344833	August 12, 2010, 12:52:49
1.0-3	Fetched by r-cran-robot on 2009-11-17 07:16:06.812103	November 7, 2009, 07:16:06
1.0-2	Fetched by r-cran-robot on 2009-10-03 07:16:04.501838	June 24, 2008, 13:38:45

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