rf_params {creditmodel} | R Documentation |
Random Forest Parameters
Description
rf_params
is the list of parameters to train a Random Forest using in training_model
.
Usage
rf_params(ntree = 100, nodesize = 30, samp_rate = 0.5, tune_rf = FALSE, ...)
Arguments
ntree |
Number of trees to grow. This should not be set to too small a number, to ensure that every input row gets predicted at least a few times. |
nodesize |
Minimum size of terminal nodes. Setting this number larger causes smaller trees to be grown (and thus take less time). Note that the default values are different for classification (1) and regression (5). |
samp_rate |
Percentage of sample to draw. Default is 0.2. |
tune_rf |
A logical.If TRUE, then tune Random Forest model.Default is FALSE. |
... |
Other parameters |
Details
See details at : https://www.stat.berkeley.edu/~breiman/Using_random_forests_V3.1.pdf
Value
A list of parameters.
See Also
training_model
, lr_params
, gbm_params
, xgb_params
[Package creditmodel version 1.3.1 Index]