Table 3

Combined performance results

Exp

Method

P

r

F

signif

% alt


A

CRF noalt, nom and word

0.9255

0.8885

0.9066

1-19, C-F

13.62

B

BDT nom and word

0.9221

0.8885

0.9050

1-19, C-F

25.67

C

BDT nom and word, top 10 teams

0.9118

0.8768

0.8940

1-19, E, F

23.37

D

BDT nom only

0.9092

0.8773

0.8929

1-19, E, F

25.42

E

BDT noalt, nom and word

0.9242

0.8165

0.8670

7-19, F

9.58

F

BDT word only

0.7165

0.6187

0.6640

18-19

37.07


The precision, recall, and F score of machine learning experiments to learn gene mentions using the data extracted from all submitted runs as features. Method column: BDT, boosted decision trees; CRF, conditional random fields; nom, all nomination features; word, words of candidate; noalt, alternate gene data not used. The column signif indicates the ranks of runs for which there was a significant difference, and the letters indicate the machine learning experiments for which there was a significant difference. The column % alt gives the percentage of alternate gene mentions among the resulting true positives.

Smith et al. Genome Biology 2008 9(Suppl 2):S2   doi:10.1186/gb-2008-9-s2-s2

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