Boost Properties |
The Boost type exposes the following members.
| Name | Description | |
|---|---|---|
| CVFolds |
If CVFolds greater than 1 then algorithms prunes the built decision tree using K-fold
| |
| MaxCategories |
Cluster possible values of a categorical variable into K less than or equals maxCategories clusters to find a suboptimal split
| |
| MaxDepth |
The maximum possible depth of the tree
| |
| MinSampleCount |
If the number of samples in a node is less than this parameter then the node will not be split
| |
| Ptr |
Pointer to the unmanaged object
(Inherited from UnmanagedObject.) | |
| RegressionAccuracy |
Termination criteria for regression trees
| |
| TruncatePrunedTree |
If true then pruned branches are physically removed from the tree
| |
| Use1SERule |
If true then a pruning will be harsher
| |
| UseSurrogates |
If true then surrogate splits will be built
|