And so , if you can get  @ @  Uh again , my prescription would be that you would , with a mixed signal , you would take a collection of possible uh , features  look at them , look at how these different classes that you 've marked , separate themselves ,   and then collect , uh in pairs ,  and then collect ten of them or something , and then proceed  with a bigger classifier.
Yeah. Yeah.
And then if you can get that to work well , then you go to the other signal. And then , and you and you know , they won't work as well , but how m you know , how much
Right.