Strange rules - what can I do?
I'm building a rule induction model that's working well but is producing some strange rules. An example is:
if AvgClausRxrT > 453.805 and AvgClausRxrT > 499.515 then Down (18 / 3)
Even I can simplify this rule
. While these rule don't cause mistakes they do lower confidence in the results if a human expert sees them and gets to wondering - "If the program is dumb enough to produce this rule whay should I believe the rest of what it's doing?"
Does anyone have a suggestion on how to configure RapidMiner so it doesn't produce these sorts of flaky rules? Or is that just the way it is and I should learn to live with it?
if AvgClausRxrT > 453.805 and AvgClausRxrT > 499.515 then Down (18 / 3)
Even I can simplify this rule
. While these rule don't cause mistakes they do lower confidence in the results if a human expert sees them and gets to wondering - "If the program is dumb enough to produce this rule whay should I believe the rest of what it's doing?"Does anyone have a suggestion on how to configure RapidMiner so it doesn't produce these sorts of flaky rules? Or is that just the way it is and I should learn to live with it?