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Crossvalidation with SVM

Workflow Entry: Crossvalidation with SVM

Created at: 29/04/10 @ 16:42:49

Version 1 (of 1)

Version created on: 29/04/10 @ 16:42:49 by: Simon Fischer | Revision comments Expand

Title: Crossvalidation with SVM

Type: RapidMiner

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Description

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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Workflow Components

Inputs (1)

Input	Location
1	//Samples/data/Sonar

Operators (5)

Name
Process
Validation
SVM
Apply Model
Performance

Outputs (0)

Information Workflow Type

RapidMiner

Information Original Uploader

Simon Fischer

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Information Statistics

498 viewings

429 downloads

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Version History

Earliest Version:
[1] - Crossvalidation with SVM

Created on: Thursday 29 April 2010 @ 16:42:49 (GMT)

Created by: Simon Fischer

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Comments (1)

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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