Again for completeness sake. As the name suggests a weighted version of the classification loss (zero one loss) which penalizes the errors differently according to a hyper parameter. (see p. 24, example 2.5 in Steinwart 2008)
Steinwart, Ingo, and Andreas Christmann. Support vector machines. Springer Science & Business Media, 2008.
Again for completeness sake. As the name suggests a weighted version of the classification loss (zero one loss) which penalizes the errors differently according to a hyper parameter. (see p. 24, example 2.5 in Steinwart 2008)