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Table 6 Central tendency and variation of the performance of all runs submitted to ACT on the official BC3 gold standard, including our original and our corrected runs.

From: A linear classifier based on entity recognition tools and a statistical approach to method extraction in the protein-protein interaction literature

 

Accuracy

F 1

MCC

AUCiP/R

Mean

0.7909

0.4624

0.3885

0.5048

Median

0.8452

0.5399

0.4608

0.5367

Std. dev.

0.1324

0.1732

0.1740

0.1505

Mean + 95% CI

0.8257

0.5079

0.4343

0.5444

Std. error

0.0174

0.0227

0.0229

0.0198

  1. Shown are the values obtained by the F-Score, Accuracy, Matthew’s Correlation Coefficient, and Area Under the interpolated Precision and Recall Curve (computed with the official script, adding F-Score),
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BMC Bioinformatics

ISSN: 1471-2105

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