Difference between revisions of "Classification analysis"
From BioUML platform
(Automatic synchronization with BioUML) |
(Automatic synchronization with BioUML) |
||
| Line 16: | Line 16: | ||
* '''Classification type''' – Select classification type | * '''Classification type''' – Select classification type | ||
* '''Are covariance matrices equal?''' – Are covariance matrices (within classes/groups/clusters) equal? | * '''Are covariance matrices equal?''' – Are covariance matrices (within classes/groups/clusters) equal? | ||
| − | * '''Path to | + | * '''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 consists of names of classes (samples, groups, clusters) | * '''Classifier name''' – Select classifier name: classifier consists of names of classes (samples, groups, clusters) | ||
Latest revision as of 16:32, 12 March 2019
- Analysis title
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
