A package for calculating ROC curves and Concentrated ROC (CROC) curves written by Dr. S. Joshua Swamidass.
Please cite this paper when reporting any work which uses this software:
A CROC Stronger than ROC: Measuring, Visualizing, and Optimizing Early RetrievalS. Joshua Swamidass, Chloe-Agathe Azencott, Kenny Daily and Pierre BaldiBioinformatics, April 2010, doi:10.1093/bioinformatics/btq140
This pure-python package is designed to be a standardized implementation of performance curves and metrics for use either in python scripts or through a simple commandline interface. As a standardized implementation its output is robust enough to be using in publishable scientific work.
With this package, one can easily:
The docstrings in this module are fairly complete and the scripts provide simple access to the most common functions. Further documentation can be found here:
Daniel Himmelstein has written up a basic R interface to CROC which is avialable on github (here).
On 3/14/2010 this project officially moved out of beta and is now designated a stable release. Please email the author if you discover any bugs.
Future versions will include several enhancements, including:
The priority of these improvements will be, in part, directed by interest from users.