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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.

Options

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.

Capabilities

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

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