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Table 6 The selected features and the performance evaluations of the evolved classification strategies

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

Global performance

Methods

Number of features

Selected features

Accuracy

Recall

Precision

CT(s)

EL

12

1, ...12

98.88

98.88

98.88

23.74

EL-SCOA

6

2, 3, 4, 7, 8,10

98.35

98.35

98.37

12.00