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Table 2 IMT results on the development 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 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
  1. 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.