predict.LogitBoost | R Documentation |
Prediction or Testing using logitboost classification algorithm
## S3 method for class 'LogitBoost'
predict(object, xtest, type = c("class", "raw"), nIter=NA, ...)
object |
An object of class "LogitBoost" see "Value" section of
|
xtest |
A matrix or data frame with test data. Rows contain samples and columns contain features |
type |
See "Value" section |
nIter |
An optional integer, used to lower number of iterations
(decision stumps) used in the decision making. If not provided than the
number will be the same as the one provided in |
... |
not used but needed for compatibility with generic predict method |
Logitboost algorithm relies on a voting scheme to make classifications. Many
(nIter
of them) week classifiers are applied to each sample and their
findings are used as votes to make the final classification. The class with
the most votes "wins". However, with this scheme it is common for two cases
have a tie (the same number of votes), especially if number of iterations is
even. In that case NA is returned, instead of a label.
If type = "class" (default) label of the class with maximal probability is returned for each sample. If type = "raw", the a-posterior probabilities for each class are returned.
Jarek Tuszynski (SAIC) jaroslaw.w.tuszynski@saic.com
LogitBoost
has training half of LogitBoost code
# See LogitBoost example
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.