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Table 3 IMT results on the test dataset

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

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
  1. 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.