plot.Accuracy: plot method for 'Accuracy' objects

In ODRF: Oblique Decision Random Forest for Classification and Regression

plot method for Accuracy objects

Description

Draw the error graph of class ODRF at different tree sizes.

Usage

## S3 method for class 'Accuracy'
plot(x, lty = 1, digits = NULL, main = NULL, ...)

Arguments

x	Object of class Accuracy.
lty	A vector of line types, see par.
digits	Integer indicating the number of decimal places (round) or significant digits (signif) to be used.
main	main title of the plot.
...	Arguments to be passed to methods.

Value

OOB error and test error, misclassification rate (MR) for classification or mean square error (MSE) for regression.

See Also

ODRF Accuracy

Examples

data(breast_cancer)
set.seed(221212)
train <- sample(1:569, 80)
train_data <- data.frame(breast_cancer[train, -1])
test_data <- data.frame(breast_cancer[-train, -1])

forest <- ODRF(diagnosis ~ ., train_data, split = "gini",
parallel = FALSE, ntrees = 30)
(error <- Accuracy(forest, train_data, test_data))
plot(error)

ODRF documentation built on May 31, 2023, 8:22 p.m.