print.train {caret} | R Documentation |
Print the results of a train
object.
## S3 method for class 'train': print(x, digits = min(3, getOption("digits") - 3), printCall = TRUE, details = FALSE, ...)
x |
an object of class train . |
digits |
an integer specifying the number of significant digits to print. |
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 |
... |
options passed to the generic print method |
The table of complexity parameters used, their resampled performance and a flag for which rows are optimal.
A data frame with the complexity parameter(s) and performance (invisibly).
Max Kuhn
data(iris) TrainData <- iris[,1:4] TrainClasses <- iris[,5] library(klaR) rdaFit <- train(TrainData, TrainClasses, "rda", control = trainControl(method = "cv")) print(rdaFit)