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Table 4 Summary of data sets and algorithms used in five experiments

From: L2-norm multiple kernel learning and its application to biomedical data fusion

Nr.

Data Set

Problem

Samples

Classes

Algorihtms

Evaluation

1

disease relevant genes

ranking

620

1

1-4

LOO AUC

2

prostate cancer genes

ranking

9

1

1-4

AUC

3

rectal cancer patients

classification

36

2

5-8,13-16

LOO AUC

4

endometrial disease

classification

339

2

5-8,13-16

3-fold AUC

 

miscarriage

classification

2356

2

5-8,13-16

3-fold AUC

 

pregnancy

classification

856

2

9-12,17-20

3-fold AUC

5

UCI pen digit and optical digit

classification

1000-3000

10

1A,1B,5B,5C,13B,13C

CPU time