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What are some good ways to reduce instance number as keeping the accuracy at large scale data?
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I have a very huge dataset with ~300.000 instances for each class. I would like to pick descriptive instances for each classes tor reduce the data size into reasonable quantities. What are the trustworthy methods in order to pick representationally powerful instances for next coming classification task as keeping the expected accuracy close to exact dataset ?
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