Module 1: Basics and Background
Lecture 3: Error Measures
Example
=
{O
1
,O
2
,O
3
,O
4
,O
5
,O
6
,O
7
,O
8
}
Correct answer set
=
{O
1
,O
5
,O
7
}
Algorithm returns
=
{O
1
,O
3
,O
5
,O
6
}
=
{O
1
,O
5
,O
7
}
=
{O
2
,O
3
,O
4
,O
6
,O
8
}
=
{O
1
,O
5
}
= {O
2
,O
4
,O
8
}
=
{O
3
,O
6
}
=
{O
7
}
Recall
=
Sensitivity
=
2/3 = 0.67
Precision
=
2/4 = 0.5
Specificity
=
3/5 = 0.6
F-score
=
4/7 = 0.571
Accuracy
=
= {O1,O2,O3,O4,O5,O6,O7,O8}
