Threshold independent performance measures for probabilistic classifiers.

This package includes functions to compute the area under the curve of selected measures: The area under the sensitivity curve (AUSEC), the area under the specificity curve (AUSPC), the area under the accuracy curve (AUACC), and the area under the receiver operating characteristic curve (AUROC). The curves can also be visualized. Support for partial areas is provided.


Change log:

  • Version 0.3.0: July 2013
  • Set the ties.method in rank to min for sensitivity and max for specificity and accuracy
  • Version 0.2.0: July 2013
  • Added the option perc.rank to sensitivity, specificity, and accuracy
  • Version 0.1.0: July 2013
  • Package submitted to CRAN with functions sensitivity, specificity, accuracy, roc, auc, and plot

Reference manual

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0.3.0 by Michel Ballings, 7 years ago

Browse source code at

Authors: Michel Ballings and Dirk Van den Poel

Documentation:   PDF Manual  

GPL (>= 2) license

Imported by hybridEnsemble, iRF, interpretR, kernelFactory, optiRum, rmRNAseq.

Depended on by randnet.

Suggested by broom, cvms.

See at CRAN