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Formal Inference-based Recursive Modelling (FIRM)
Dear all,
I am trying to rebuild an algorithm called "ormal Inference-based Recursive Modelling Analysis " (FIRM) in RapidMiner, as explained here:
http://psy.cycu.edu.tw/download/temp/04%20LISREL%208.72/LISREL87F/PDF_files/firm.pdf
As far as I Understand it is a iterative search using Decision trees to select "good" attributes as judged by the Performance Operator.
Is Loop Feature Subset therefor the best mothod to build such a workflow? Is there anything I have be take care of, for example setting of the minumum information gain etc.?
Best,
Markus
I am trying to rebuild an algorithm called "ormal Inference-based Recursive Modelling Analysis " (FIRM) in RapidMiner, as explained here:
http://psy.cycu.edu.tw/download/temp/04%20LISREL%208.72/LISREL87F/PDF_files/firm.pdf
As far as I Understand it is a iterative search using Decision trees to select "good" attributes as judged by the Performance Operator.
Is Loop Feature Subset therefor the best mothod to build such a workflow? Is there anything I have be take care of, for example setting of the minumum information gain etc.?
Best,
Markus
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