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Table 1 Confusion matrix for the classification results

From: PlanktoVision - an automated analysis system for the identification of phytoplankton

 

PlanktoVision

 

det

ukw

1

2

3

4

5

6

7

8

9

10

% recognition

% false positive

det

11061

0

0

1

0

0

0

0

0

0

0

0

99.99

0.00

ukw

0

371

0

2

0

4

3

0

7

3

0

13

92.06

8.09

1

0

3

91

0

0

0

0

0

1

0

1

0

94.79

6.59

2

0

5

3

182

0

0

0

0

2

0

0

1

94.30

3.85

3

0

1

0

0

57

1

1

0

0

0

0

0

95.00

0.00

4

0

0

0

2

0

115

0

0

0

0

0

0

98.29

8.70

5

0

1

0

0

0

0

124

2

8

3

0

0

89.86

4.03

6

0

7

0

2

0

0

0

94

0

0

1

0

90.38

2.13

7

0

2

1

0

0

0

0

0

253

2

1

2

96.93

7.51

8

0

0

0

0

0

0

0

0

0

59

3

0

95.16

13.56

9

0

1

0

0

0

5

0

0

0

0

127

0

95.49

4.72

10

0

10

2

0

0

0

1

0

1

0

0

240

94.49

6.25

Ø

            

94.73

5.45

  1. The data were classified into detritus (det), unknown plankton organism (ukw), Cyclotella (1), Anabeana (2), Chlorogonium (3), Cryptomonas (4), Desmodesmus (5), Staurastrum (6), Botryococcus (7), Pediastrum (8), Trachelomonas (9) and Crucigenia (10). The test set included images of 4 different samples that were independently prepared, imaged and analyzed on different days to prevent the selection of an over fitted classifier. The results of PlanktoVision (columns) were compared to a manual classification (rows). Correctly classified results are shown in bold.