summary.stratified_rf: Summary statistics from a model

In david-cortes/StratifiedRF: Builds Trees by Sampling Variables in Groups

Description

Calculates error statistics for out-of-bag samples from a stratified_rf model.

Usage

## S3 method for class 'stratified_rf'
summary(object, ...)

Arguments

object	A stratified_rf model.
...	other options (not currently used)

Details

Predictions for a class are made by averaging class probabilities across trees rather than by a majority vote. All trees are weighted equally.

Examples

data(iris)
groups <- list(c("Sepal.Length","Sepal.Width"),c("Petal.Length","Petal.Width"))
mtry <- c(1,1)
m <- stratified_rf(iris,"Species",groups,mtry,ntrees=2,multicore=FALSE)
summary(m)

david-cortes/StratifiedRF documentation built on May 24, 2019, 7:25 p.m.