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RandomForestLearning Properties

The RandomForestLearning type exposes the following members.

Properties
  NameDescription
Public propertyAttributes
Gets or sets the collection of attributes to be processed by the induced decision tree.
Public propertyCoverageRatio
Gets or sets the proportion of variables that can be used at maximum by each tree in the decision forest. Default is 1 (always use all variables).
Public propertyJoin
Gets or sets how many times the same variable can enter a tree's decision path. Default is 100.
Public propertyNumberOfTrees
Gets or sets the number of trees in the random forest.
Public propertyParallelOptions
Gets or sets the parallelization options for this algorithm.
(Inherited from ParallelLearningBase.)
Public propertySampleRatio
Gets the proportion of samples used to train each of the trees in the decision forest. Default is 0.632.
Public propertyToken
Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.
(Inherited from ParallelLearningBase.)
Public propertyTrees Obsolete.
Gets or sets the number of trees in the random forest.
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