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

Table 3 IMT results on the test dataset

System	Precision	Recall	F1 score	AUC iP/R
m-LR	58.37	55.80	57.06	34.96
m-SVM	62.33	48.94	54.83	33.18
b-SVM (*)	52.56	52.45	52.50	28.45
union(m-SVM,b-SVM) (*)	53.21	59.61	56.23	35.85
union(m-LR,b-SVM)	52.51	64.67	57.96	39.06
union(m-LR,m-SVM)	57.43	56.18	56.80	35.26
intersect(m-LR,b-SVM) (*)	64.06	44.01	52.17	29.47
intersect(m-LR,m-SVM,b-SVM) (*)	64.86	44.42	52.73	30.52

Results on the IMT test dataset (%). The models were trained on the combined training and development datasets. 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