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Table of Learner Capabilities and How to Try a Bunch of Learners Quickly
Gday,
I was wondering if there was a table somewhere listing all of the learners and perhaps columns for the different learner capabilities.
If nobody can suggest one then I will make one up as it seems like it would be useful.
Secondly, can anyone suggest the best way to try a bunch of learners with a single dataset and get the cross-validation accuracy for each? I want to try about 25 different learners on the data set and get accuracies, then change the preprocessing and get another set of accuracies etc.
Thanks!
I was wondering if there was a table somewhere listing all of the learners and perhaps columns for the different learner capabilities.
If nobody can suggest one then I will make one up as it seems like it would be useful.
Secondly, can anyone suggest the best way to try a bunch of learners with a single dataset and get the cross-validation accuracy for each? I want to try about 25 different learners on the data set and get accuracies, then change the preprocessing and get another set of accuracies etc.
Thanks!
0
Answers
http://www.nufocusinc.com/rapidminer/operators.htm
the simplest solution is the meta operator OperatorSelector. It selects one of its inner operators dependend on a parameter. This parameter might be iterated using the GridparameterOptimization. Then the index of the best Learner will be returned.
Greetings,
Sebastian
I will work out some way to get all of the results.
There are so many different operators it takes a while to get around to them all.