BMC Bioinformatics

Table 5 Performance of the submitted classifiers over the test data

From: Erratum to: 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	.5399	.8097	.456	.5399
VTT⁰	Bigrams	.5243	.8382	.4318	.5117
VTT¹	SP	.5667	.8213	.4909	.5843
VTT¹	Bigrams	.5575	.8402	.472	.5769
VTT⁵	SP	.5502	.8378	.4629	.5654
VTT⁵	Bigrams	.5265	.8300	.4336	.536
VTT³	SP	.5682	.8265	.4906	.5879

Values obtained over the official BC3 gold standard using 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). The highest value for each measure is shown in boldface.

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ISSN: 1471-2105

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