Skip to main content

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