RapidMiner 9.8 Beta is now available
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"Feature Selection operator"
I am interested in using the Feature Selection tool of RapidMiner but though i understand the logic i am not able to grasp how this this tool works in RM .
To give a little background : I have a tab delimited file with 115 regular attributes + 1 target attribute with 110 examples . My objective is to select the optimal set of regular attributes which have the maximum contribution to the target attribute so that i can use them in a prediction model .
I dont want to use all the attributes in order to avoid over- training.
The tutorial says that i can connect the Feature selection operator directly to my ExampleSource .But when i actually do it , i checked the help stuff and it says i am suppose to use an ExampleSetGenerator in between (no idea y ?). In the end i still get errors and am not able to do it ??
Any help or comments or suggestions are highly appreciated.