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Table 2 Zero-one and Balanced error rates for the remote homology detection problem optimized for the balanced 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

 

11.5

23.1

10.9

13.0

Two-Level Approaches Without Hierarchy Information

 

Scaling

9.3

16.1

10.9

13.9

Ranking Perceptron

Scale & Shift

10.1

19.5

12.1

15.8

 

Crammer Singer

14.7

28.9

17.6

24.1

 

Scaling

9.0

15.9

11.8

15.7

SVM-Struct

Scale & Shift

10.7

19.9

12.1

15.1

 

Crammer Singer

11.6

19.4

13.0

16.3

Two-Level Approaches With Fold-level Nodes

 

Scaling

11.2

19.6

14.7

21.4

SVM-Struct

Scale & Shift

10.1

19.3

12.1

16.9

 

Crammer Singer

14.7

26.0

13.0

18.2

Two-Level Approaches With Class-level and Fold-level Nodes

 

Scaling

11.2

20.2

13.0

18.8

SVM-Struct

Scale & Shift

13.5

24.7

12.1

16.8

 

Crammer Singer

14.7

26.1

13.0

17.5

  1. ZE and BE denote the zero-one error and balanced error percent rates respectively. The results were obtained by optimizing the balanced loss function.