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Table 4 Prediction performance on biological process classes, over the cross-validation dataset.

From: Protein Function Prediction using Text-based Features extracted from the Biomedical Literature: The CAFA Challenge

Function

# Training Protein

# Test Protein

Text-KNN

Base-Prior

Base-Seq

   

P

R

F

P

R

F

P

R

F

GO:0065007

3626

906

0.23

0.52

0.31

0.20

0.24

0.22

0.32

0.48

0.38

GO:0032502

3338

835

0.22

0.19

0.20

0.12

0.17

0.14

0.22

0.24

0.23

GO:0009987

1790

447

0.24

0.29

0.26

0.17

0.14

0.15

0.26

0.27

0.27

GO:0050896

1780

445

0.25

0.16

0.19

0.10

0.10

0.10

0.16

0.09

0.11

GO:0008152

1658

415

0.23

0.14

0.17

0.08

0.06

0.07

0.28

0.34

0.31

GO:0051234

1204

301

0.32

0.20

0.25

0.05

0.05

0.05

0.44

0.45

0.45

GO:0016043

1145

286

0.13

0.05

0.07

0.06

0.05

0.06

0.15

0.12

0.13

GO:0023052

965

241

0.18

0.11

0.14

0.05

0.04

0.04

0.30

0.28

0.29

GO:0032501

606

151

0.12

0.02

0.04

0.04

0.03

0.04

0.24

0.11

0.16

GO:0022414

346

86

0.51

0.15

0.24

0.02

0.02

0.02

0.14

0.03

0.05

GO:0051704

272

68

0.29

0.09

0.14

0.01

0.01

0.01

0.09

0.04

0.05

GO:0040011

170

42

0.13

0.01

0.01

0.01

0.01

0.01

1.00

0.05

0.09

GO:0040007

165

41

0.01

0.01

0.01

0.01

0.01

0.01

0.00

0.00

0.00

GO:0051179

151

38

0.03

0.01

0.01

0.01

0.01

0.01

0.00

0.00

0.00

GO:0022610

128

32

0.07

0.02

0.03

0.01

0.01

0.01

0.00

0.00

0.00

GO:0008283

118

29

0.01

0.01

0.01

0.01

0.01

0.01

0.00

0.00

0.00

GO:0000003

96

24

0.00

0.00

0.00

0.01

0.01

0.01

0.00

0.00

0.00

GO:0002376

74

19

0.06

0.03

0.04

0.00

0.00

0.00

0.00

0.00

0.00

GO:0016265

64

16

0.00

0.00

0.00

0.01

0.01

0.01

0.00

0.00

0.00

GO:0071554

46

11

0.38

0.08

0.13

0.01

0.00

0.00

0.00

0.00

0.00

GO:0048511

43

11

0.31

0.06

0.10

0.00

0.00

0.00

0.00

0.00

0.00

GO:0023046

35

9

0.01

0.01

0.01

0.00

0.00

0.00

0.00

0.00

0.00

GO:0044085

16

4

0.01

0.01

0.01

0.00

0.00

0.00

0.00

0.00

0.00

GO:0043473

13

3

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

  1. The text-based classifier, Text-KNN, is compared with two baselines: Base-Prior, and Base-Seq. The columns P, R, and F refer, respectively, to the Precision, Recall, and F-measure of the classifier over individual GO categories. A precision and recall values of 0 on a class indicates that all the proteins belonging to that class are misclassified into another class.