emil (version 2.2.10)

fit_randomForest: Fit random forest.

Description

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

Usage

fit_randomForest(x, y, ...)

Arguments

x

Dataset, numerical matrix with observations as rows.

y

Class labels, factor.

...

Sent to randomForest.

Value

Fitted random forest.

References

Breiman L (2001). Random Forests. Machine Learning, 45(1), 5<U+2013>32. doi:10.1023/a:1010933404324.

See Also

emil, predict_randomForest, importance_randomForest, modeling_procedure