AODEsr
- Former user (Deleted)
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 |