Faster ROC-AUC

Fast calculation of AUC of an ROC for binary classification problems, written in C++.

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Updated Mon, 24 Jun 2013 15:02:32 +0000

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AUC = fastAUC(labels,scores,posclass)

Calculates the Area under the ROC curve (AUC) for problems involving two distinct targets (i.e. binary classification problems). Main advantages of using this function are:

*speed
Written in C++, it performs much faster than perfcurve (Matlab statistics toolbox). On a benchmark of 20 million instances this function achieves a speed up factor of more than 100 with respect to perfcurve.

*independence
Works without needing to install the statistics toolbox.

Please send any questions, comments and/or suggestions by mail.

Cite As

Enric Junque de Fortuny (2023). Faster ROC-AUC (https://www.mathworks.com/matlabcentral/fileexchange/41258-faster-roc-auc), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired: RADIOMICS

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Version Published Release Notes
1.6.0.0

Bugfix (abs).

1.5.0.0

Description

1.4.0.0

Updated install file.

1.0.0.0