eh What , I  I mean , what what is the effect of the low ' signal to  to  to noise relation , you know , eh with
N u We Well , I think  I think  I think it 's not a  it 's not at all unreasonable. It makes sense to start with the simpler signal because if you have features which don't  aren't even helpful in the high signal - to - noise ratio , then there 's no point in putting them into the low signal ratio , one would think , anyway.
Yeah.
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.