caTools (version 1.10)

predict.LogitBoost: Prediction Based on LogitBoost Classification Algorithm

Description

Prediction or Testing using logitboost classification algorithm

Usage

predict.LogitBoost(object, xtest, type = c("class", "raw"), nIter=NA, ...)

Value

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.

Details

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.

See Also

LogitBoost has training half of LogitBoost code

Examples

# See LogitBoost example}
<keyword>classif</keyword>