classification learner app accuracy changed with every run command why?
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same feature dataset its accuracy changed for every classifier evrytime why? how can i get correct result?
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Walter Roberson
on 24 May 2016
I would suspect that some of the work involves random numbers. If you use rng() to set the same seed each time before classification then you would probably get the same result each time.
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Walter Roberson
on 25 May 2016
Call
rng(12345)
then invoke the learner app and train once. Then exit the learner app and repeat the sequence, rng(12345) and go back into the learner app and train once again. I suspect you will get the same results.
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