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 |