Difference between revisions of "Classification analysis"
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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 | + | * '''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
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
