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Table 2 Structural classification performance using KNN for the Full-SCOP dataset

From: Cutoff Scanning Matrix (CSM): structural classification and function prediction by protein inter-residue distance patterns

SCOP Level Before SVD After SVD ∆Prec. ∆Rec.
  Precision Recall Precision Recall   
Class 0.927 0.926 0.954 0.954 +2.7% +2.8%
Fold 0.868 0.869 0.922 0.923 +5.4% +5.4%
Superfamily 0.871 0.872 0.926 0.927 +5.5% +5.5%
Family 0.888 0.889 0.938 0.938 +5.0% +4.9%
  1. Prediction performance for the full-SCOP dataset using KNN. The experiment was performed for each classification level of SCOP. The precision and recall metrics are weighted averages. A 10-fold cross validation was employed.