print.rfpredinterval: Print summary output

In RFpredInterval: Prediction Intervals with Random Forests and Boosted Forests

Print summary output

Description

Print summary output from pibf(), rfpi(), or piall() functions. This is the default print method for the package.

Usage

## S3 method for class 'rfpredinterval'
print(x, ...)

Arguments

x	An object of class ('rfpredinterval', 'piall'), ('rfpredinterval', 'pibf'), or ('rfpredinterval', 'rfpi').
...	Optional arguments to be passed to other methods.

See Also

pibf piall rfpi

Examples

## load example data
data(BostonHousing, package = "RFpredInterval")
set.seed(2345)

## define train/test split
testindex <- 1:10
trainindex <- sample(11:nrow(BostonHousing), size = 100, replace = FALSE)
traindata <- BostonHousing[trainindex, ]
testdata <- BostonHousing[testindex, ]
px <- ncol(BostonHousing) - 1

## construct 95% PI with "cv" calibration using 5-folds
out <- pibf(formula = medv ~ ., traindata = traindata,
  testdata = testdata, calibration =  "oob",
  params_ranger = list(num.trees = 40))

## print summary output
print(out)

## contruct 95% PI with "ls" split rule, "lm", "quant" and "spi" PI methods
## with calibration and use "ranger" package for RF training
out2 <- rfpi(formula = medv ~ ., traindata = traindata,
  testdata = testdata, split_rule = "ls", pi_method = c("lm", "quant", "spi"),
  rf_package = "ranger", params_ranger = list(num.trees = 50))

## print summary output
print(out2)

RFpredInterval documentation built on March 7, 2023, 7:17 p.m.