Merging or cascading classifiers

I wonder if I can use more than one classifier on the same data for classification, whether cascading or merging? if this is a possibility please anybody let me know. and can I see the exact code of my model?

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IngoRM

Hi,

yes, you can use the meta learners for exactly this. Try things like Stacking, Bagging or Boosting. We also have some hierarchical classifiers here but I am not sure if they are part of the Community Edition.

and can I see the exact code of my model?

What do you mean?

Cheers,
Ingo

nawafpower

Like if I need to modify some parts of the algorithm lets say to check if it does better for my data? can I do that?
And how does the bagging work? Do I have to drag more than one classifier inside? can you gave me an example?
Thanks

nawafpower

Hi Mr. Ingo,
Did you get the chance to read my reply on your question? I hope that you can get me with any helpful reply soon

earmijo

The best (probably the only) way to learn to use RapidMiner is to go through the examples in the REpository Samples. For instance you can find examples of Bagging, Boosting, Stacking in the Folder Sample/Processes/Learner. Play with them.

nawafpower

thanks earmijo