Module 1: Basics and Background
  Lecture 3: Error Measures
 

                                            


Example
= {O1,O2,O3,O4,O5,O6,O7,O8}
                                  Correct answer set = {O1,O5,O7}
                                    Algorithm returns = {O1,O3,O5,O6}
                                                           = {O1,O5,O7}
                                                           = {O2,O3,O4,O6,O8}
                                                         = {O1,O5}
                                                        = {O2,O4,O8}
                                                        = {O3,O6}
                                                        = {O7}
                               Recall = Sensitivity = 2/3 = 0.67
                                                Precision = 2/4 = 0.5
                                              Specificity = 3/5 = 0.6
                                                   F-score = 4/7 = 0.571
                                                Accuracy =