Table 13

Evaluation (P: Precision, R: Recall, F: F-Measure) and number of corrected queries (Q) with Levenshtein and Stoilos combinations

Levenshtein


< 0.05

< 0.1

< 0.15

< 0.2

< 0.3

< 0.4

< 0.5

< 0.6

< 0.7

< 0.8

< 0.9


Stoilos

> 0.9

Q:50

P = 100

R = 30.67

F = 46.94

Q:74

P = 95.94

R = 43.55

F = 59.91

Q:83

P = 93.97

R = 47.85

F = 63.41

Q:84

P = 96.42

R = 46.69

F = 65.58



> 0.8

Q:89

P = 96.62

R = 52.76

F = 68.25

Q:109

P = 93.57

R = 62.57

F = 75.00

Q:110

P = 92.72

R = 62.57

F = 74.72

Q:114

P = 91.20

R = 63.81

F = 75.09

Q:115

P = 90.43

R = 63.80

F = 74.82



> 0.7

Q: 6

P = 100

R = 03.60

F = 07.10

Q:119

P = 87.39

R = 63.80

F = 73.75

Q:123

P = 85.36

R = 64.41

F = 73.42

Q:130

P = 82.30

R = 65.64

F = 73.03



> 0.6

Q:59

P = 100

R = 36.19

F = 53.15

Q:97

P = 96.90

R = 57.66

F = 72.30

Q:121

P = 94.21

R = 69.93

F = 80.28

Q:127

P = 83.46

R = 65.03

F = 73.10

Q:130

P = 81.53

R = 65.03

F = 72.35



> 0.5

Q:129

P = 83.72

R = 66.25

F = 73.97

Not evaluated



> 0.4

Q:122

Q:130


> 0.3

P = 94.26

P = 83.84


> 0.2

R = 70.55

R = 66.87


> 0.1

F = 80.70

F = 74.75


Soualmia et al. BMC Bioinformatics 2012 13(Suppl 14):S11   doi:10.1186/1471-2105-13-S14-S11

Open Data