CROC 1.0.58

A package for calculating ROC curves and Concentrated ROC (CROC) curves.

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The CROC Package
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|A CROC Stronger than ROC: Measuring, Visualizing, and Optimizing Early Retrieval
|S. Joshua Swamidass, Chloe-Agathe Azencott, Kenny Daily and Pierre Baldi
|Bioinformatics, April 2010, doi:10.1093/bioinformatics/btq140
|http://bioinformatics.oxfordjournals.org/cgi/content/abstract/btq140

This pure-python package is designed to be a standard implementation of performance curves
and metrics for use either in python scripts or through a simple commandline interface.

With this package, one can easily:

#. Compute the coordinates of both Accumulation Curves and ROC curves.
#. Handle ties appropriately using several methods.
#. Compute the BEDROC metric.
#. Vertically add and average the performance curves of several cross-validation folds.
#. Focus on the early part of the ROC curve by using several soon to be published x-axis transforms.

Please cite the paper when using this implementation.
Please email the author if you discover any bugs.
Full documentation can be found at http://swami.wustl.edu/CROC