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Table 5 Comparison of stand-alone systems on training data

From: Concept selection for phenotypes and diseases using learn to rank

System

P

R

F1

M1: NCBO Annotator

0.0393

0.5044

0.0729

M2: BeCAS

0.0146

0.0134

0.0140

M3: Apache cTAKES

0.0933

0.5675

0.1602

M4: MetaMap -A -negex

0.0389

0.2992

0.0689

M5: MetaMap -A -y

0.0498

0.2505

0.0831

M6: MetaMap -g

0.0387

0.2905

0.0683

M7: MetaMap -i

0.0392

0.2994

0.0693

M8: MetaMap

0.0389

0.2992

0.0689

M9: MetaMap -A

0.0389

0.2992

0.0689

  1. Macro precision, recall and F1 of the individual systems on the training data. The highest scoring system F1 is shown in bold.