comparison between different classifier in different dataset
Hi
I'm looking for a way to compare performance of different classifier (like MLP, SVM, simplecartTree,..) with each other in different dataset (e.g. a dataset with outliers and a dataset without them). I know we can do that in Weka by experimenter but about Rapidminer?
any Idea?
Moreover, I'd appreciate if there is any template to do that,send it to me.
thank you for your time and consideration
Regards
REZA
I'm looking for a way to compare performance of different classifier (like MLP, SVM, simplecartTree,..) with each other in different dataset (e.g. a dataset with outliers and a dataset without them). I know we can do that in Weka by experimenter but about Rapidminer?
any Idea?
Moreover, I'd appreciate if there is any template to do that,send it to me.
thank you for your time and consideration
Regards
REZA
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if I understood you correct, you are going to iterate over several files and test on each file how well a classifier will work? Then you could use the FileIterator to iterate over arbitrary files and then insert the macro containing the filename into an ExampleSource.
Then you could use the ParameterIteration and a Operator selector to iterate over the different learning algorithms.
Although this might sound confusing this should be very easy for everyone ever seen a for loop. The process then looks like that: Greetings,
Sebastian