Detecting experimental techniques and selecting relevant documents for protein-protein interactions from biomedical literature

Table 2 IMT results on the development dataset

System	Precision	Recall	F1 score	AUC iP/R
m-LR	41.36	53.81	46.37	22.85
m-SVM	72.12	51.31	59.96	39.05
b-SVM (*)	68.35	61.05	64.49	42.02
union(m-SVM,b-SVM) (*)	65.62	63.11	64.33	44.98
union(m-LR,b-SVM)	42.33	64.36	50.73	27.76
union(m-LR,m-SVM)	41.39	54.01	46.46	22.94
intersect(m-LR,b-SVM) (*)	75.24	54.96	63.52	44.02
intersect(m-LR,m-SVM,b-SVM) (*)	78.22	50.17	61.13	40.92

Macro-averaged results on the IMT development dataset with 10 best models selected by cross-validation on the training data (%). m-LR – multi-label Logistic Regression; m-SVM – multi-label Support Vector Machines; b-SVM – binary Support Vector Machines. Asterisks (*) denote systems that were submitted to the challenge.

ISSN: 1471-2105