Hello, all
I have a lot of independents and one dependent, finally, I want to build
one model using them, and predict the new samples value, that is regression.
before it, I must remove some independents according to some criterion:
1. constant values independent. 2. variant near zero. 3. percentage of zero
values > what?? 4. have other critorion?
for 3. and 4.
3. I have no idea, generally sepeaking, the corresponding independent with
what is percentage of zero values should be removed (20% or 50% or others,
have paper support?).
4. statistical, have any critorions that are used to removed independent?
give me a hand.
Actually, my questions is about feature selections, it is so complex, I hope
any friends can give me a guidance.
how can I leave those independent which is good to correlate to
dependent.(i.e. high correlation coefficent R and small predictive error
etc.). And removel "bad" independents.
thank you!
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