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Which learner to use with a particular data type
Greetings,
Is it possible to make some simple tests on data and according to the results decide, which learner will most probably give best performance? Could anyone recommend me some papers (or books) where get some information for this purpose?
Thanks in advance.
Is it possible to make some simple tests on data and according to the results decide, which learner will most probably give best performance? Could anyone recommend me some papers (or books) where get some information for this purpose?
Thanks in advance.
0
Answers
apart from the information you will find in the literature, let me just mention how you can easily choose the best learning scheme with RapidMiner. Just wrap a cross validation inside a ParameterOptimization, add an OperatorSelector with various learning operators as the first child of the cross validation, and let the ParameterOptimization optimize the operator selected by the OperatorSelector.
Cheers,
Simon
Would you kind enough to explain how this can be done in RM 5.0 beta ? Detailed steps would be nice.
thanks.
the solution is quite equal: Instead of a OperatorSelector you have to use the Select Subprocess operator, which does quite the same. Inside this operator, you might create new subprocesses by clicking on the button with the green plus.
For easy understanding I paste an example process below. Greetings,
Sebastian