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[SOLVED] Standard Deviation

I'm aware of operators for average, min, max.. etc.. But I see none for standard deviation. I'm trying to filter data to include only values that are within 3 standard deviations from the mean for a given attribute. How is the best way to go about this in Rapidminer?

Thanks,
Josh

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Accepted answers

dan_agape

Hi Josh,

Use Generate Attribute to make a copy of the given attribute (assume C is the new attribute), then use Normalize to modify the values of C using the Z-transformation method, and then use Filter Examples to keep only the rows for which the values of C are between -3 and 3 in the dataset. Finally you can discard the attribute C.

Dan

All comments

frito

hi
u can use generate attribute operator to implement the STD formula and then use filter examples operator.

Or try the operator Weight by deviation.

josh321

Hi. Thanks for the reply, but I'm not sure I understand. I've tried the weight by deviation operator, but it appears to weight entire attributes against the data set, rather than a sample vs the attribute mean. And I'm not sure how to implement a STD formula that results in a standard deviation.

Thanks,
Josh

dan_agape

josh321

That did the trick, thanks!