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Table 2 Performances on agree and not agree subset of predictions

From: Improving the prediction of disease-related variants using protein three-dimensional structure

  Q2 P[D] S[D] P[N] S[D] C AUC PM
SEQ∩3D 0.87 0.85 0.89 0.89 0.84 0.74 0.93 91
SEQ-3D 0.66 0.70 0.70 0.62 0.62 0.32 0.71 9
3D-SEQ 0.34 0.38 0.30 0.30 0.38 -0.32 0.35 9
  1. SEQ∩3D indicates the subset of agree predictions between SVM-3D and SVM-SEQ. SEQ-3D and 3D-SEQ are respectively the predictions of SVM-SEQ and SVM-3D on the not agree prediction subset. The accuracy measures are defined in Methods section. PM is the fraction of the dataset. D and N are disease-related and neutral variants respectively.
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