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Table 4 Comparison of the STSS algorithm with traditional self-training on the edge detection dataset.

From: Self-training in significance space of support vectors for imbalanced biomedical event data

Class label Precision (%) Precision (%) F-measure (%)
  Self-training STSS Self-training STSS Self-training STSS
AtLoc 0.0 0.0 0.0 0.0 0.0 0.0
Cause 47.36 49.21 43.54 43.61 45.36 46.24
Cause-Theme 76.2 67.85 53.72 80.6 63.01 73.67
Site 29.82 29.25 33.2 33.0 31.4 31.01
Theme 57.11 57.72 90.33 90.92 69.97 70.61
ToLoc 48.42 48.94 96.42 96.68 64.46 64.98
Negative 100.0 100.0 100.0 100.0 100.0 100.0
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