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Table 5 LDA Geometric shapes

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

STANDARD

Circle

Ellipse

Rectangle

Square

Triangle

Prediction success

Circle

50

0

0

0

0

1.00

Ellipse

0

45

0

5

0

0.90

Rectangle

0

0

50

0

0

1.00

Square

1

6

1

37

5

0.74

Triangle

0

0

7

4

39

0.78

Model

     

0.884

RQA

      

Circle

47

0

3

0

0

0.94

Ellipse

0

41

0

6

3

0.82

Rectangle

1

0

48

1

0

0.96

Square

1

10

6

31

2

0.62

Triangle

1

5

0

2

42

0.84

Model

     

0.836

STANDARD & RQA

      

Circle

50

0

0

0

0

1.00

Ellipse

0

46

0

4

0

0.94

Rectangle

0

0

50

0

0

1.00

Square

1

1

2

43

3

0.88

Triangle

0

0

0

0

50

1.00

Model

     

0.956

STANDARD & RQA & ESQ

      

Circle

50

0

0

0

0

1.00

Ellipse

0

46

0

4

0

0.92

Rectangle

0

4

49

1

0

0.90

Square

1

3

1

43

2

0.86

Triangle

0

0

0

0

50

1.00

Model

     

0.952

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