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Table 3 Zero-one and Balanced error rates for the remote homology detection problem optimized for the zero-one loss function.

From: Building multiclass classifiers for remote homology detection and fold recognition

   sf95 sf40
   ZE BE ZE BE
MaxClassifier   14.7 30.0 21.0 29.7
Direct K-way Classifiers   13.5 24.8 20.5 26.5
Two-Level Approaches Without Hierarchy Information
  Scaling 10.6 18.0 11.7 16.5
Ranking Perceptron Scale & Shift 13.2 24.5 10.9 13.4
  Crammer Singer 17.0 34.3 14.2 19.4
  Scaling 10.7 18.1 13.4 17.3
SVM-Struct Scale & Shift 12.4 23.7 13.4 17.3
  Crammer Singer 12.7 25.2 15.5 19.8
Two-Level Approaches With Fold-level Nodes
  Scaling 10.4 18.7 14.7 20.0
SVM-Struct Scale & Shift 12.4 23.7 14.7 21.4
  Crammer Singer 13.8 25.0 14.7 19.6
Two-Level Approaches With Class-level and Fold-level Nodes
  Scaling 10.9 19.1 12.6 17.7
SVM-Struct Scale & Shift 11.2 20.9 13.4 17.8
  Crammer Singer 14.1 27.6 12.6 17.1
  1. ZE and BE denote the zero-one error and balanced error percent rates respectively. The results were obtained by optimizing the zero-one loss function.