predict.bagEarth
From caret v4.62
by Max Kuhn
Predicted values based on bagged Earth and FDA models
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.
See Also
Examples
data(trees)
fit1 <- bagEarth(Volume ~ ., data = trees, keepX = TRUE)
fit2 <- bagEarth(Volume ~ ., data = trees, keepX = FALSE)
hist(predict(fit1) - predict(fit2))
Community examples
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