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Problems with the RAM
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OptionsBalazsBarany Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 955 UnicornHi SimonK,
for attributes that don't change a lot you would use "Remove useless attributes". This drops attributes that have little variation in them.
For rows you need a way to define what you mean by "hardly change" if you want to systematically remove them. But then you would probably change the data distribution.
If you have so much data, sampling is a good way to reduce the data size. You could try different sampling sizes. At some point, models don't change anymore even when throwing more data at them.
Regards,
Balázs0
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