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Table 3 Predictive power of the SVM classifiers

From: Mining protein networks for synthetic genetic interactions

Set of input features to SVM classifier Positive predictive value
All graph theoretic protein characteristics 0.08
All graph theoretic protein characteristics + 2Hop SS 0.50
All graph theoretic protein characteristics + 2Hop SP 0.15
All graph theoretic protein characteristics + 2Hop SS + 2Hop SP 0.14
  1. Positive predictive values for classifiers trained with and without 2Hop characteristics at a threshold level of 0.999.