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Presentation - Collaboration and Sharing of Computat...

Created: 2010-10-21 20:16:46 | Last updated: 2010-10-21 20:19:25

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Training Data DAT

Created: 2010-10-21 18:15:51 | Last updated: 2010-10-21 18:15:52

Credits: Rapido

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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Training Data AML

Created: 2010-10-21 18:11:43

Credits: Rapido

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

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Compare SVM, Linear Regression, Linear Discriminant ...

Created: 2010-10-21 16:56:37 | Last updated: 2010-10-21 18:20:19

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X-Validation with One-Class SVM (1)

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With this example process, I intend to show how one might validate predictions done with a one class classifier. RapidMiner includes the One-Class SVM (part of libsvm) as introduced by Schoelkopf. I'm very interested in feedback concerning problems with or errors in this experiment. Note that the data set (Sonar) is just a toy data set chosen for demonstration - learning a one class classifier on it won't give you any good results! DESCRIPTION The basic idea is to partition the data set...

Created: 2010-10-20 | Last updated: 2010-10-20

Find best feature selection method. (1)

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This processes searches for the best method for feature selection and the best feature subset size. Inside a parameter loop the number of selected features and the feature selection methods are evaluated with a 10fold cross-validation. The Feature Selection Extension ( https://sourceforge.net/projects/rm-featselext ) is required. BUGFIX: Please note that the plugin downloaded before 5th November contains a bug. Due to a bug in RM the TopK-operator sorted the features in the wrong direction. ...

Created: 2010-10-19 | Last updated: 2010-12-10

Recursive Feature Elimination with fully o... (1)

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The Process shows how you can use the RecursiveFeatureElimination-Operator of the Feature Selection Extension ( https://sourceforge.net/projects/rm-featselext) to select relevant features from a highdimensional dataset.

Created: 2010-10-19 | Last updated: 2010-12-10

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Presentation - MyExperimentalScience, extending the ...

Created: 2010-10-17 15:54:22 | Last updated: 2010-10-17 15:56:54

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Presentation - Data Intensive Research in Computati...

Created: 2010-10-17 15:49:17 | Last updated: 2010-10-17 16:07:51

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Automatical Disabling / Enabling of Operat... (1)

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This meta process shows another possibility for automatically optimizing the process layout. The operator "OperatorEnabler" can be used to enable or disable one of its children. Together with one of the parameter optimization operators this can be used to check which operators should be used for optimal results. This is especially useful in order to determine which preprocessing operators should be used for a particular data set - learner combination or if you want to automatically test diffe...

Created: 2010-10-13