Package
weka.attributeSelection
Synopsis
OneRAttributeEval :
Evaluates the worth of an attribute by using the OneR classifier.
Options
The table below describes the options available for OneRAttributeEval.
Option |
Description |
|---|---|
evalUsingTrainingData |
Use the training data to evaluate attributes rather than cross validation. |
folds |
Set the number of folds for cross validation. |
minimumBucketSize |
The minimum number of objects in a bucket (passed to OneR). |
seed |
Set the seed for use in cross validation. |
Capabilities
The table below describes the capabilites of OneRAttributeEval.
Capability |
Supported |
|---|---|
Class |
Binary class, Missing class values, Nominal class |
Attributes |
Date attributes, Nominal attributes, Empty nominal attributes, Missing values, Unary attributes, Numeric attributes, Binary attributes |
Min # of instances |
1 |