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| R2012a Documentation → Statistics Toolbox | |
Learn more about Statistics Toolbox |
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| Contents | Index |
Classification and regression trees
| classregtree | Construct classification and regression trees |
| catsplit | Categorical splits used for branches in decision tree |
| children | Child nodes |
| classcount | Class counts |
| classname | Class names for classification decision tree |
| classprob | Class probabilities |
| cutcategories | Cut categories |
| cutpoint | Decision tree cut point values |
| cuttype | Cut types |
| cutvar | Cut variable names |
| disp | Display classregtree object |
| display | Display classregtree object |
| eval | Predicted responses |
| isbranch | Test node for branch |
| meansurrvarassoc | Mean predictive measure of association for surrogate splits in decision tree |
| nodeclass | Class values of nodes of classification tree |
| nodeerr | Return vector of node errors |
| nodemean | Mean values of nodes of regression tree |
| nodeprob | Node probabilities |
| nodesize | Return node size |
| numnodes | Number of nodes |
| parent | Parent node |
| prune | Prune tree |
| prunelist | Pruning levels for decision tree nodes |
| risk | Node risks |
| subsasgn | Subscripted reference for classregtree object |
| subsref | Subscripted reference for classregtree object |
| surrcutcategories | Categories used for surrogate splits in decision tree |
| surrcutflip | Numeric cutpoint assignments used for surrogate splits in decision tree |
| surrcutpoint | Cutpoints used for surrogate splits in decision tree |
| surrcuttype | Types of surrogate splits used at branches in decision tree |
| surrcutvar | Variables used for surrogate splits in decision tree |
| surrvarassoc | Predictive measure of association for surrogate splits in decision tree |
| test | Error rate |
| type | Tree type |
| varimportance | Compute embedded estimates of input feature importance |
| view | Plot tree |
Objects of the classregtree class have no properties accessible by dot indexing, get methods, or set methods. To obtain information about a classregtree object, use the appropriate method.
Value. To learn how this affects your use of the class, see Comparing Handle and Value Classes in the MATLAB Object-Oriented Programming documentation.
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