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 |