RandomForestLearning Properties

Gets or sets the collection of attributes to be processed by the induced decision tree.

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).

Gets or sets how many times the same variable can enter a tree's decision path. Default is 100.

Gets or sets the number of trees in the random forest.

Gets or sets the parallelization options for this algorithm.

Gets the proportion of samples used to train each of the trees in the decision forest. Default is 0.632.

Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.

Gets or sets the number of trees in the random forest.