predict.bagEarth

From caret v4.62 by Max Kuhn

Predicted values based on bagged Earth and FDA models

Keywords: regression

Usage

predict.bagEarth(object, newdata = NULL, type = "response", ...)
predict.bagFDA(object, newdata = NULL, type = "class", ...)

Arguments

object: Object of class inheriting from bagEarth
newdata: An optional data frame or matrix in which to look for variables with which to predict. If omitted, the fitted values are used (see note below).
type: The type of prediction. For bagged earth regression model, type = "response" will produce a numeric vector of the usual model predictions. earth<
...: not used

Value

a vector of predictions

Note

If the predictions for the original training set are needed, there are two ways to calculate them. First, the original data set can be predicted by each bagged earth model. Secondly, the predictions form each bootstrap sample could be used (but are more likely to overfit). If the original call to bagEarth or bagFDA had keepX = TRUE, the first method is used, otherwise the values are calculated via the second method.

Examples

data(trees)
fit1 <- bagEarth(Volume ~ ., data = trees, keepX = TRUE)
fit2 <- bagEarth(Volume ~ ., data = trees, keepX = FALSE)
hist(predict(fit1) - predict(fit2))

Documentation reproduced from package caret, version 4.62, License: GPL-2

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