Module 1: Basics and Background
  Lecture 3: Error Measures
 

                                            


ROC curve
  • Sensitivity vs - specificity
  • True positive rate vs false positive rate
  • A random guess algorithm is a line
  • Area under the curve measures accuracy (or "discrimination")
  • A perfect algorithm has an area of
  • A random (or useless) algorithm has an area of
  • Grading
  • 0.9-1.0: excellent; 0.8-0.9: good; 0.7-0.8: fair; 0.6-0.7: poor; 0.5-0.6:
    fail