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PROPER: Performance visualization for optimizing and comparing ranking classifiers in MATLAB
Abstract
Background
One of the recent challenges of computational biology is development of new algorithms, tools and software to facilitate predictive modeling of big data generated by high-throughput technologies in biomedical research.Results
To meet these demands we developed PROPER - a package for visual evaluation of ranking classifiers for biological big data mining studies in the MATLAB environment.Conclusion
PROPER is an efficient tool for optimization and comparison of ranking classifiers, providing over 20 different two- and three-dimensional performance curves.Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.