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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.