Machine learning in trading: theory, models, practice and algo-trading - page 3605
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Your code removes rows from the sample that belong to clusters that have a mean of (as you write 0.5) units.
I haven't done that. But, in essence, this is a binarisation. Again, if the probabilities are preserved on new data, the effect will be there, but if not, it's fucked.
I get a similar effect through quantisation in essence.My code doesn't do that and it shows in the code. This is wishful thinking.
Yes, I misunderstood - it is reflected in the second message.
More guesswork. I feel like a fortune teller.
I don't get it.
Any resources would be appreciated.