predict.logicBagg {logicFS} | R Documentation |
Prediction of test data Using an object of class logicBagg
.
## S3 method for class 'logicBagg': predict(object, newData, prob.case = 0.5, type = c("class", "prob"), ...)
object |
an object of class logicBagg |
newData |
a matrix containing new data. If omitted
object\$data , i.e. the original training data, are used.
Each row of newData must correspond
to a new observation. newData must have the same number
of columns as object\$data , and the order of the variables
must be same in both matrices |
prob.case |
a numeric value between 0 and 1. A new observation will be
classified as case (or more exactly, as 1) if the class probability, i.e.
the average of the predicted probabilities of the models (if the logistic
regression approach of logic regression has been used), or the percentage of
votes for class 1 (if the classification approach of logic regression has been used)
is larger than prob.case . Ignored if type = "prob" |
type |
character vector indicating the type of output. If "class" , a numeric
vector of zeros and ones containing the predicted classes of the observations (using the specification
of prob.case ) will be returned. If "prob" , the class probabilities or
percentages of votes for class 1, respectively, for all observations are returned |
... |
Ignored |
A numeric vector containing the predicted classes (if type = "class"
) or the
class probabilities (if type = "prob"
) of the new observations.
Holger Schwender, holger.schwender@udo.edu