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Table 4 Performance of submitted classifiers on training data.

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

Classifier

Features

F 1

Accuracy

MCC

VTT0

SP

0.7637

0.8308

0.6325

VTT0

Bigrams

0.7541

0.832

0.6269

VTT1

SP

0.7755

0.8386

0.6502

VTT1

Bigrams

0.7568

0.8302

0.6265

VTT5

SP

0.7762

0.848

0.662

VTT5

Bigrams

0.7751

0.842

0.6533

VTT3

SP

0.771

0.8387

0.6466

  1. Shown are the mean values obtained in cross-validation by the F-Score, Accuracy, and Matthew’s Correlation Coefficient. Boldfaced values represent best performance in table.
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BMC Bioinformatics

ISSN: 1471-2105

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