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Table 7 Error rates (top1, top3) for the fold recognition problem.

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

  

fd25

fd40

  

top1

top3

top1

top3

Two-Level Approaches Without Hierarchy Information

     
 

Scaling

38.5

24.5

25.6

15.4

SVM-Struct

Scale & Shift

37.4

24.8

24.7

15.1

 

Crammer Singer

36.3

22.7

25.0

13.4

Two-Level Approaches With Class-level Nodes

     
 

Scaling

36.7

21.9

20.6

11.9

SVM-Struct

Scale & Shift

36.3

21.6

21.2

12.2

 

Crammer Singer

37.1

22.3

25.3

13.4

Two-Level Approaches With Superfamily-level Nodes

     
 

Scaling

39.9

24.5

27.9

19.5

SVM-Struct

Scale & Shift

39.6

23.4

25.3

16.0

 

Crammer Singer

40.6

27.3

26.7

15.1

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

     
 

Scaling

39.2

25.2

20.6

13.7

SVM-Struct

Scale & Shift

38.5

23.0

20.9

12.2

 

Crammer Singer

37.1

23.7

24.1

12.5

  1. The results shown in the table are optimized for the balanced loss function.