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Table 5 Performance of submitted classifiers on test 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

AUCiP/R

VTT0

SP

0.5399

0.8097

0.456

0.4935

VTT0

Bigrams

0.5243

0.8382

0.4318

0.4287

VTT1

SP

0.5667

0.8213

0.4909

0.5402

VTT1

Bigrams

0.5575

0.8402

0.472

0.5015

VTT5

SP

0.6483

0.864

0.5897

0.7339

VTT5

Bigrams

0.6366

0.85.9

0.5752

0.7127

VTT3

SP

0.628

0.8387

0.5735

0.7143

  1. Shown are the values obtained on the official BC3 gold standard by the F-Score, Accuracy, Matthew’s Correlation Coefficient, and Area Under the interpolated Precision and Recall Curve (computed with the official script, and adding F-Score). Boldfaced values represent best performance in table.
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BMC Bioinformatics

ISSN: 1471-2105

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