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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 |
| classprob | Class probabilities |
| cutcategories | Cut categories |
| cutpoint | Returns 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 |
| nodeerr | Return vector of node errors |
| nodeprob | Node probabilities |
| nodesize | Return node size |
| numnodes | Number of nodes |
| parent | Parent node |
| prune | Prune tree |
| risk | Node risks |
| subsasgn | Subscripted reference for classregtree object |
| subsref | Subscripted reference for classregtree object |
| 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.
Regression and Classification by Bagging Decision Trees, Classification Trees
![]() | classprob (classregtree) | classregtree | ![]() |

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