Support Vector Machines
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SVM - Support Vector Machines
Classification and Regression Statistics
  • [PubMed] [Free PDF] N. A. Obuchowski, M. L. Lieber, and F. H. Wians Jr., ROC curves in clinical chemistry: uses, misuses, and possible solutions. Clin. Chem. 2004, 50 1118-1125.
  • [PubMed] [Free PDF] C. Stephan, S. Wesseling, T. Schink, and K. Jung, Comparison of eight computer programs for receiver-operating characteristic analysis. Clin. Chem. 2003, 49, 433-439.
  • [PubMed] H. A. Kestler, ROC with confidence - a Perl program for receiver operator characteristic curves. Comput. Methods Programs Biomed. 2001, 64, 133-136.
  • [PubMed] P. S. Heckerling, Parametric receiver operating characteristic curve analysis using mathematica. Comput. Methods Programs Biomed. 2002, 69, 65-73.
ROCKIT uses maximum likelihood estimation to fit a binormal ROC curve to continuously-distributed data or to ordinal category data.

JROCFIT, developed by John Eng, is a Java program for Web-based calculation of the receiver operating characteristic (ROC) curves. JROCFIT is a direct translation of the ROCFIT program (developed by Charles Metz).

ROCtools is a Java source code for generating ROC curves. The code is provided in source code form licensed under the GNU general public license. ROCtools requires a Java Runtime Environment.

 ROC Tools
Links to ROC software

 ROC Tutorial
ROC links

 ROC Tutorial
ROC links

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