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rowSubsample

Subsample ratio of the training set in each iteration of tree construction.

Declaration

var rowSubsample: Double

Discussion

This is called the bagging trick and can usually help prevent overfitting. Setting this to a value of 0.5 results in the model randomly sampling half of the examples (rows) to grow each tree. Must be in the range (0, 1).

See Also

Inspecting the configuration