estimate_numtrees: Estimate the required number of trees

In optRF: Optimising Random Forest Stability by Determining the Optimal Number of Trees

Estimate the required number of trees

Description

Estimate the number of trees required to achieve certain stability of random forest

Usage

estimate_numtrees(
  optRF_object,
  measure = c("selection", "importance", "prediction"),
  for_stability = 0.95
)

Arguments

optRF_object	An optRF_object, either the result from the opt_importance or the opt_prediction function.
measure	A character string indicating which stability measure is to be analysed. One of "selection" (default, analyses selection stability), "prediction" (analyses prediction stability) or "importance" (analyses variable importance stability).
for_stability	Either a single stability value or a vector containing multiple stability values for which the number of trees should be estimated.

Value

A data frame summarising the estimated stability and run time in seconds for the given num.trees values.

Examples

## Not run: 
data(SNPdata)
set.seed(123)
result_optpred = opt_prediction(y = SNPdata[,1], X=SNPdata[,-1]) # optimise random forest
estimate_numtrees(result_optpred, measure="prediction", for_stability=0.95)

## End(Not run)

optRF documentation built on June 8, 2025, 10:24 a.m.