Skip to main content

Table 5 The classification results of multiple view features using MKL with three kinds of kernel

From: Automatic plankton image classification combining multiple view features via multiple kernel learning

Datasets

C

Gaussian+Polynomial+Linear

  

R

1−P

F measure

WHOI

1

89.64%

10.17%

0.897

 

10

89.88%

10.03%

0.899

 

100

90%

9.91%

0.9

ZooScan

1

85.42%

11.38%

0.87

 

10

88.34%

9.58%

0.894

 

100

88.31%

9.81%

0.892

Kaggle

1

80.3%

16.12%

0.82

 

10

83.67%

14.49%

0.846

 

100

83.46%

14.88%

0.843

  1. The entries in boldface indicate the best classification results with the highest F measure
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us