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Operator that gives suggestions for changing attributes
Hello,
I have a model that is supposed to predict three different pollutant emissions. The target variable can take the value "good" (all 3 emissions below the limit), "problem 1" (emission 1 above limit, emissions 2&3 below limit), "problem 2", "problem 3", "problem 1&2" (emissions 1&2 above limit, emission 3 below limit), "problem 1&3", "problem 2&3" and "problem bad" (all 3 emissions above limit).
Is there an operator that suggests which attributes should be changed to which value when a problem occurs in order to reach the state "good"?
Many thanks in advance
Simon
I have a model that is supposed to predict three different pollutant emissions. The target variable can take the value "good" (all 3 emissions below the limit), "problem 1" (emission 1 above limit, emissions 2&3 below limit), "problem 2", "problem 3", "problem 1&2" (emissions 1&2 above limit, emission 3 below limit), "problem 1&3", "problem 2&3" and "problem bad" (all 3 emissions above limit).
Is there an operator that suggests which attributes should be changed to which value when a problem occurs in order to reach the state "good"?
Many thanks in advance
Simon
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Best Answer
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MartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,529 RM Data ScientistSounds like you want to check Prescriptive Analytics and Prescriptive Optimization operators.Best,Martin- Sr. Director Data Solutions, Altair RapidMiner -
Dortmund, Germany0