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Table 7 Confusion matrix for the EL-based SCOA in the testing phase

From: Enhanced fault diagnosis of wind energy conversion systems using ensemble learning based on sine cosine algorithm

 

Predicted classes

 

True classes

C1

C2

C3

C4

C5

C6

C7

Recall

C1

1858

0

0

0

142

0

0

92.90

C2

0

2000

0

0

0

0

0

100

C3

0

0

20

0

0

0

0

100

C4

0

0

0

1991

900

0

0

99.55

C5

75

0

0

100

1924

0

0

96.20

C6

4

0

0

0

0

1996

0

99.80

C7

0

0

0

0

0

0

2000

100

Precision

95.92

100

100

99.95

92.72

100

100

98.35