Package
weka.attributeSelection
Synopsis
Classifier subset evaluator:
Evaluates attribute subsets on training data or a seperate hold out testing set. Uses a classifier to estimate the 'merit' of a set of attributes.
Available in Weka 3.6.x - 3.7.1. Available via the package management system for Weka >= 3.7.2 (classifierBasedAttributeSelection).
Options
The table below describes the options available for ClassifierSubsetEval.
Option | Description |
---|---|
classifier | Classifier to use for estimating the accuracy of subsets |
holdOutFile | File containing hold out/test instances. |
useTraining | Use training data instead of hold out/test instances. |
Capabilities
The table below describes the capabilites of ClassifierSubsetEval.
Capability | Supported |
---|---|
Class | Binary class, Date class, Missing class values, Numeric class, Nominal class |
Attributes | Missing values, Empty nominal attributes, Relational attributes, Unary attributes, Nominal attributes, Binary attributes, Date attributes, Numeric attributes, String attributes |
Min # of instances | 0 |