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Python tools for working with the AUROC

Project description

pyroc is a package for analyzing receiver operator characteristic (ROC) curves. It includes the ability to statistically compare the area under the ROC (AUROC) for two or more classifiers.

Quick start


pip install pyroc


import pyroc import numpy as np

pred = np.random.rand(100) target = np.round(pred) # flip 10% of labels target[0:10] = 1 - target[0:10] W = pyroc.auroc(target, pred)

# second prediction pred2 = pred pred2[10:20] = 1 - pred2[10:20] auroc, ci = pyroc.auroc_ci(target, [pred, pred2]) print(auroc) print(ci)


Documentation is available on readthedocs. An executable demonstration of the package is available on GitHub as a Jupyter Notebook.


To install the package with pip, run:

pip install pyroc

To install this package with conda, run:

conda install -c conda-forge pyroc

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