Hi all, Could anyone tell me if there's a tangible difference between using the LinearNuSVMC() and LinearCSVMC() classifiers? Also, in order to have the classifier choose its own best "fit," is it best practice to leave the area between the brackets blank, or to but in a value of C=-1 ? I think I've heard of doing either/both, but may be misremembering. I've posted before about searchlight analyses not running with LinearCSVMC unless specific a C-parameter is input, so I'm wondering the best choice to make.
Best, Mike
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