Crossvalidation with SVM

Created: 2010-04-29 16:42:49

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Performs a crossvalidation on a given data set with nominal label, using a Support Vector Machine as a learning algorithm. Inside the cross validation, the first subprocess generates an SVM model, and the second subprocess evaluates it. applying it on a so-far unused subset of the data and counting the misclassifications.

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Simon Fischer

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Crossvalidation with SVM

Created by Simon Fischer on Thursday 29 April 2010 16:42:49 (UTC)

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Gutompf

I am new to rapidminer and I do not know how to get workflow from my experiment to rapidminer. When I press " Download Workflow File/Package (XML)" I get file without extension. Then I tried insert it to rapidminer with import process (with or without extensions xml, rmp) an it always gives error: content is not allowed in prolog.

I would be very happy if somebody helps me.

Milan

Lanem

Hi Milan

I am experiencing the same problem as well

So my question is similar to Milan's how do we import workflow processes into RapidMiner once these have been download from myexperiment.com???

Regards Michael

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