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 |