Difference between revisions of "Classification analysis"

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m (Protected "Classification analysis": Autogenerated page (‎[edit=sysop] (indefinite)))
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* '''Classification mode''' – Select classification mode
 
* '''Classification mode''' – Select classification mode
 
* '''Classification type''' – Select classification type
 
* '''Classification type''' – Select classification type
* '''Path to table with data matrix''' – Path to table with data matrix
+
* '''Are covariance matrices equal?''' – Are covariance matrices (within classes/groups/clusters) equal?
 +
* '''Path to data matrix''' – Path to table or file with data matrix
 
* '''Variable names''' – Select variable names
 
* '''Variable names''' – Select variable names
* '''Classifier name''' – Select classifier name
+
* '''Classifier name''' – Select classifier name: classifier consists of names of classes (samples, groups, clusters)
 
* '''Path to folder with saved model''' – Path to folder with saved model
 
* '''Path to folder with saved model''' – Path to folder with saved model
 
* '''Percentage of data for training''' – Percentage of input data set (this part of input data set will be used as training set)
 
* '''Percentage of data for training''' – Percentage of input data set (this part of input data set will be used as training set)

Latest revision as of 16:32, 12 March 2019

Analysis title
Default-analysis-icon.png Classification analysis
Provider
Institute of Systems Biology
Class
ClassificationAnalysis
Plugin
biouml.plugins.bindingregions (Binding-regions related analyses)

[edit] Description

Create and save classification model or load classification model for prediction of classes or cross-validation of classification model

[edit] Parameters:

  • Classification mode – Select classification mode
  • Classification type – Select classification type
  • Are covariance matrices equal? – Are covariance matrices (within classes/groups/clusters) equal?
  • Path to data matrix – Path to table or file with data matrix
  • Variable names – Select variable names
  • Classifier name – Select classifier name: classifier consists of names of classes (samples, groups, clusters)
  • Path to folder with saved model – Path to folder with saved model
  • Percentage of data for training – Percentage of input data set (this part of input data set will be used as training set)
  • Path to output folder – Output folder will be created under this location when it doesn't exist
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