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Table 10 LDA Plankton images

From: Deriving image features for autonomous classification from time-series recurrence plots

STANDARD

Annelida

Appendicularia

Bacillariophyceae

Cnidaria

Crustacea

Dinoflagellata

Marine snow

Mollusca

Vertebrata

Prediction success

Annelida

15

1

0

2

30

0

0

0

2

0.30

Appendicularia

0

37

0

0

8

1

0

0

4

0.74

Bacillariophyceae

0

0

34

0

8

16

37

5

0

0.34

Cnidaria

8

9

0

29

8

2

3

1

0

0.48

Crustacea

21

2

6

4

455

0

15

4

3

0.89

Dinoflagellata

0

1

3

0

0

38

0

3

0

0.84

Marine snow

4

2

23

0

103

0

18

0

0

0.12

Mollusca

0

0

8

0

6

3

2

9

0

0.32

Vertebrata

3

10

0

0

8

0

0

0

4

0.16

Model

         

0.628

RQA

          

Annelida

5

1

0

15

29

0

0

0

0

0.10

Appendicularia

0

24

0

0

23

0

0

0

3

0.48

Bacillariophyceae

0

0

35

0

22

26

12

5

0

0.35

Cnidaria

6

2

0

13

33

0

0

0

6

0.22

Crustacea

7

6

10

16

432

0

28

0

11

0.85

Dinoflagellata

0

0

12

0

6

22

4

1

0

0.49

Marine snow

0

0

14

3

107

8

17

1

0

0.11

Mollusca

0

0

4

0

19

2

3

0

0

0.00

Vertebrata

0

8

0

1

4

0

0

0

12

0.48

Model

         

0.550

STANDARD & RQA

          

Annelida

22

1

0

3

24

0

0

0

0

0.44

Appendicularia

0

39

0

0

6

0

0

0

5

0.78

Bacillariophyceae

1

0

48

0

3

20

20

8

0

0.48

Cnidaria

10

1

1

39

5

0

1

2

1

0.65

Crustacea

18

3

6

2

437

0

33

7

4

0.86

Dinoflagellata

0

1

3

0

0

34

0

7

0

0.76

Marine snow

2

2

20

1

86

1

33

5

0

0.22

Mollusca

0

0

5

0

6

2

4

11

0

0.39

Vertebrata

1

7

0

0

7

0

0

0

10

0.40

Model

         

0.661

STANDARD & RQA & ESQ

          

Annelida

24

1

0

3

22

0

0

0

0

0.48

Appendicularia

0

40

0

0

5

0

0

0

5

0.80

Bacillariophyceae

1

0

47

0

2

21

22

7

0

0.47

Cnidaria

6

1

0

36

6

0

4

4

3

0.60

Crustacea

19

4

5

2

436

0

30

7

7

0.85

Dinoflagellata

0

1

3

0

0

33

0

8

0

0.73

Marine snow

2

2

19

1

89

1

31

5

0

0.20

Mollusca

0

0

4

0

5

2

5

12

0

0.43

Vertebrata

1

7

0

0

6

0

0

0

11

0.44

Model

         

0.658

  1. Confusion matrices of the different parameter combinations used for the LDA analyses
  2. Values in bold represent true positive classifications of the LDA model and overall discriminative success