I'm doing a work where i need experiment several methods of Feature Selection in rapid miner and then compare them. I'm testing rapid miner to do this work but i don't be well succeed with some operators. One of them are ANOVA. What i have to do to use use this operator. ???
For example in the operator CFSFeatureSetEvaluator i use this inside another operator (FeatureSelection) but with ANOVA i don't now what to do ???
Someone can help?
My idea is not integrate the ANOVA operator inside these setting but test separately ANOVA operator and CFSFeatureSetEvaluator in a data and then observe and conclude how can be better using for example SimpleValidation. I don't now if i am explicit... Basically my question is what operator i can apply to my data before use ANOVA to do work this operator...
You cannot use ANOVA as a performance calculator which could then be used to guide the feature selection - this is simply not what ANOVA does. As I said before, ANOVA can only be used for
comparing two performances with respect to the question if they significanctly differ. But ANOVA cannot be used to
create a performance measure.
You could get an idea of what can be done with ANOVA by looking into the samples delivered together with RapidMiner. There is also a sample process showing how ANOVA can be used.