fit_randomForest: Fit random forest.

Description Usage Arguments Value Author(s) References See Also

View source: R/randomForest.r

Description

Directly calling the randomForest package implementation. See randomForest for parameter specification.

Usage

1

Arguments

x

Dataset, numerical matrix with observations as rows.

y

Class labels, factor.

...

Sent to randomForest.

Value

Fitted random forest.

Author(s)

Christofer Bäcklin

References

Breiman L (2001). Random Forests. Machine Learning, 45(1), 5–32. doi:10.1023/a:1010933404324.

See Also

emil, predict_randomForest, importance_randomForest, modeling_procedure


emil documentation built on Aug. 1, 2018, 1:03 a.m.

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