Extensive Bibliography on ROC

good introduction to ROC

web page with Provost and Fawcett's papers (the talk is based on their work)

Slides for Talk on ROC Convex Hulls for Comparing Machine Learning Schemes

• Title
  
• Motivation #1
  
• Motivation #2
  
• Confusion Matrix
  
• ... illustrated with an ROC plot of 3 hypothetical classifiers
  
• output of a parameterized classifier (Naive Bayes)
  
• ROC curve of this parameterized classifier
  
• Traditional Uses of ROC Plots
  
• Analytical Properties of ROC Plots
  
• ... illustrated with an ROC plot of 3 hypothetical classifiers
  
• Dominance illustrated with 3 ROC curves
  
• Equivalence illustrated with 3 ROC curves
  
• Convex Hull illustrated with 2 ROC curves
  
• Convex Hull of a single ROC curve
  
• Application of ROC ideas to Machine Learning
  
• ROC curves from 2 cross-validation folds
  
• these two curves "averaged" by combining the underlying data
  
• Optimal Keyphrase Extraction
  
• ... illustrated
  
• Conclusion: Implications for Machine Learning Applications and Research