Regression analysis advanced (analysis) - Revision history

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;Analysis title
:[[File:Default-analysis-icon.png]] Regression analysis advanced
;Provider
:[[Institute of Systems Biology]]
;Class
:{{Class|biouml.plugins.machinelearning.analysis.RegressionAnalysisAdvanced}}
;Plugin
:[[Biouml.plugins.machinelearning (plugin)|biouml.plugins.machinelearning (Machine learning)]]

==== Description ====
Create and save regression model or load regression model for prediction of response or cross-validation of regression model.

==== Parameters: ====

* '''Regression mode''' – Select regression mode
* '''Regression type''' – Select regression type
* '''Path to data matrix''' – Path to table or file with data matrix
* '''Variable names''' – Select variable names
* '''Response name''' – Select response name
* '''Path to folder with saved model''' – Path to folder with saved model
* '''Percentage of data for training''' – Proportion (in %) of data for training
* '''Parameters for OLS-regression''' – Please, determine parameters for Odinary least squares regression
** '''Max number of rotations''' – Maximal number of rotations for calculation of inverse matrix or eigen vectors
** '''Epsilon for rotations''' – Epsilon for calculation of inverse matrix or eigen vectors
* '''Parameters for WLS-regression''' – Please, determine parameters for Weighted least squares regression
** '''Max number of rotations''' – Maximal number of rotations for calculation of inverse matrix or eigen vectors
** '''Epsilon for rotations''' – Epsilon for calculation of inverse matrix or eigen vectors
* '''Parameters for PC-regression''' – Please, determine parameters for Principal component regression
** '''Max number of rotations''' – Maximal number of rotations for calculation of inverse matrix or eigen vectors
** '''Epsilon for rotations''' – Epsilon for calculation of inverse matrix or eigen vectors
** '''Number of principal components''' – Number of principal components
** '''Principal component sorting type''' – Sorting type of principal components
* '''Parameters for Tree-based regression''' – Parameters for Tree-based regression
** '''Minimal node size''' – Minimal size of node
** '''minimal variance''' – minimal variance
* '''Path to output folder''' – Path to output folder

[[Category:Analyses]]
[[Category:Machine learning (analyses group)]]
[[Category:ISB analyses]]
[[Category:Autogenerated pages]]

@@ Line 19: / Line 19: @@
 * '''Response name''' – Select response name
 * '''Path to folder with saved model''' – Path to folder with saved model
 * '''Parameters for OLS-regression''' – Please, determine parameters for Odinary least squares regression
 ** '''Max number of rotations''' – Maximal number of rotations for calculation of inverse matrix or eigen vectors
@@ Line 31: / Line 30: @@
 ** '''Number of principal components''' – Number of principal components
 ** '''Principal component sorting type''' – Sorting type of principal components
-* '''Parameters for Tree-based regression''' – Parameters for Tree-based regression
+* '''Parameters for Tree-based regression''' – Please, determine parameters for Tree-based regression
 ** '''Minimal node size''' – Minimal size of node
-** '''minimal variance''' – minimal variance
+** '''Minimal variance''' – Minimal variance
 * '''Path to output folder''' – Path to output folder