StAR: a simple tool for the statistical comparison of ROC curves

  title={StAR: a simple tool for the statistical comparison of ROC curves},
  author={Ismael A. Vergara and Tom{\'a}s Norambuena and Evandro Ferrada and Alex W. Slater and Francisco J Melo},
  journal={BMC Bioinformatics},
  pages={265 - 265}
As in many different areas of science and technology, most important problems in bioinformatics rely on the proper development and assessment of binary classifiers. A generalized assessment of the performance of binary classifiers is typically carried out through the analysis of their receiver operating characteristic (ROC) curves. The area under the ROC curve (AUC) constitutes a popular indicator of the performance of a binary classifier. However, the assessment of the statistical significance… CONTINUE READING
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