print.train

0th

Percentile

Print Method for the train Class

Print the results of a train object.

Keywords
print
Usage
"print"(x, printCall = FALSE, details = FALSE, selectCol = FALSE, showSD = FALSE, ...)
Arguments
x
an object of class train.
printCall
a logical to print the call at the top of the output
details
a logical to show print or summary methods for the final model. In some cases (such as gbm, knn, lvq, naive Bayes and bagged tree models), no information will be printed even if details = TRUE
selectCol
a logical whether to add a column with a star next to the selected parameters
showSD
a logical whether to show the standard deviation of the resampling results within parentheses (e.g. "4.24 (0.493)")
...
options passed to format
Details

The table of complexity parameters used, their resampled performance and a flag for which rows are optimal.

Value

A matrix with the complexity parameters and performance (invisibly).

See Also

train

Aliases
  • print.train
Examples
## Not run: 
# data(iris)
# TrainData <- iris[,1:4]
# TrainClasses <- iris[,5]
# 
# options(digits = 3)
# 
# library(klaR)
# rdaFit <- train(TrainData, TrainClasses, method = "rda",
#                 control = trainControl(method = "cv"))
# rdaFit
# print(rdaFit, showSD = TRUE)
# ## End(Not run)
Documentation reproduced from package caret, version 6.0-70, License: GPL (>= 2)

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