OpenCV 中的 SVM：如何处理不平衡数据？
SVM in OpenCV: how to handle unbalance data?
例如我有2个类的分类问题，但是数据是倾斜的（不同类的数据样本是成比例的1:10）
如何使用 SVM 处理不平衡数据？
我没有找到不同权重的参数 类 (OpenCV seems have no parameters for this?)
它在 CvSVMParams::CvSVMParams 中有 class_weights 个参数。
class_weights – Optional weights in the C_SVC problem , assigned to
particular classes. They are multiplied by C so the parameter C of
class #i becomes class_weights_i * C. Thus these weights affect the
misclassification penalty for different classes. The larger weight,
the larger penalty on misclassification of data from the corresponding
class.
例如我有2个类的分类问题，但是数据是倾斜的（不同类的数据样本是成比例的1:10）
如何使用 SVM 处理不平衡数据？
我没有找到不同权重的参数 类 (OpenCV seems have no parameters for this?)
它在 CvSVMParams::CvSVMParams 中有 class_weights 个参数。
class_weights – Optional weights in the C_SVC problem , assigned to particular classes. They are multiplied by C so the parameter C of class #i becomes class_weights_i * C. Thus these weights affect the misclassification penalty for different classes. The larger weight, the larger penalty on misclassification of data from the corresponding class.