Cost-Sensitive Support Vector Machine Using Randomized Dual Coordinate Descent Method for Big Class-Imbalanced Data Classification

Table 3

Specification of the benchmark datasets and cost-sensitive parameters on the dataset.

Dataset	Fault diagnosis of wind turbine
Number of ex.	20000
Number of feat.	56
Ratio	190
Positive class	Local crack fault
𝐶𝛾	190
𝐶(1−𝛾)	1