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Table 8 Comparison of our kNN-Classifier used for participating in the challenge with the best systems and the MTI baseline on the test set of the week 2 of batch 3 consisting of 3009 documents. The used measures are: example-based precision (EBP), example-based recall (EBR), example-based f-measure (EBF) and micro f-measure (MiF) (Source BioASQ 2014)

From: Large scale biomedical texts classification: a kNN and an ESA-based approaches

Systems EBP EBR EBF MiF
Antinomyra [36] 0.59 0.62 0.59 0.60
L2R [38] 0.59 0.60 0.58 0.59
Hippocrates [37] 0.59 0.60 0.57 0.59
MTI 0.59 0.58 0.56 0.57
kNN-Classifier 0.55 0.49 0.49 0.51