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"p-Value of zero from linear regression"

dysprosiumdysprosium Member Posts: 7 Contributor I
edited June 2019 in Help
Just a quick question - I'm getting a p-Value of 0 for one of the attributes In the output from the linear regression operator. Is this a genuine zero, or an extremely small value?  If the latter, what's the threshold below which Rapid Miner returns zero for a p-Value? 
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Answers

  • David_ADavid_A Administrator, Moderator, Employee, RMResearcher, Member Posts: 251  RM Research
    It can be both.
    For very small numbers RapidMiner just shows a 0 in the result view, but the actual value is used for further calculations (for example you can sort according to the p-values).
    But for very small values it can happen that the p-value becomes a genuine 0, this depends on the underlying distribution functions and their parameters, so a fixed threshold cannot be  given.
    For all practical concerns the differences between a genuine 0 and a very small, non-zero, p-value should not matter.
  • dysprosiumdysprosium Member Posts: 7 Contributor I
    I was getting 0 for the p-Value of one attribute, and 0.000 for another attribute, and wondering  how they were different. I've just sorted the results by the p-Value, and that shows 0 to be smaller than 0.000. That's probably precise enough for my purpose (although it would be interesting to know if it's a genuine 0). Thanks for the explanation.
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