Package

weka.classifiers.meta

Synopsis

Class for boosting a 2-class classifier using the Real Adaboost method.

For more information, see

J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.

The table below describes the options available for RealAdaBoost.

Option	Description
classifier	The base classifier to be used.
debug	If set to true, classifier may output additional info to the console.
numIterations	The number of iterations to be performed.
seed	The random number seed to be used.
shrinkage	Shrinkage parameter (use small value like 0.1 to reduce overfitting).
useResampling	Whether resampling is used instead of reweighting.
weightThreshold	Weight threshold for weight pruning.

The table below describes the capabilites of RealAdaBoost.

Capability	Supported
Class	Binary class, Missing class values
Attributes	Missing values, Date attributes, Unary attributes, Empty nominal attributes, Numeric attributes, Binary attributes, Nominal attributes
Min # of instances	1