AODEsr
Package
weka.classifiers.bayes
Synopsis
AODEsr augments AODE with Subsumption Resolution.AODEsr detects specializations between two attribute values at classification time and deletes the generalization attribute value.
For more information, see:
Fei Zheng, Geoffrey I. Webb: Efficient Lazy Elimination for Averaged-One Dependence Estimators. In: Proceedings of the Twenty-third International Conference on Machine Learning (ICML 2006), 1113-1120, 2006.
Available in Weka 3.6.x - 3.7.1. Available via the package management system for Weka >= 3.7.2 (averagedOneDependenceEstimators).
Options
The table below describes the options available for AODEsr.
Option |
Description |
|---|---|
criticalValue |
Specify critical value for specialization-generalization relationship (default 50). |
debug |
If set to true, classifier may output additional info to the console. |
frequencyLimit |
Attributes with a frequency in the train set below this value aren't used as parents. |
mestWeight |
Set the weight for m-estimate. |
useLaplace |
Use Laplace correction instead of m-estimation. |
Capabilities
The table below describes the capabilites of AODEsr.
Capability |
Supported |
|---|---|
Class |
Nominal class, Binary class, Missing class values |
Attributes |
Missing values, Empty nominal attributes, Binary attributes, Unary attributes, Nominal attributes |
Min # of instances |
0 |