articleComputer applications in the biosciencesAug 11, 2005BRONZE OA

ROCR: visualizing classifier performance in R

Max Planck Society · Max Planck Institute for Informatics · +1 more institution

PubMed
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Abstract

UNLABELLED: ROCR is a package for evaluating and visualizing the performance of scoring classifiers in the statistical language R. It features over 25 performance measures that can be freely combined to create two-dimensional performance curves. Standard methods for investigating trade-offs between specific performance measures are available within a uniform framework, including receiver operating characteristic (ROC) graphs, precision/recall plots, lift charts and cost curves. ROCR integrates tightly with R's powerful graphics capabilities, thus allowing for highly adjustable plots. Being equipped with only three commands and reasonable default values for optional parameters, ROCR combines flexibility with…

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3,332
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Authors

4

Topics & keywords

Keywords
  • Computer science
  • Receiver operating characteristic
  • Lift (data mining)
  • Graphics
  • Classifier (UML)
  • Flexibility (engineering)
  • Precision and recall
  • Artificial intelligence
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