Chi Square Feature Evaluation
Contact: Martin Gütlein
Categories: Feature selection
Exposed methods:
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Feature selection |
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|---|---|
| Input: | |
| Output: | |
| Input format: | Weka's ARFF format |
| Output format: | Weka's ARFF format |
| User-specified parameters: | |
| Reporting information: | |
Description:
Feature Selection via chi square (X2) test is another, very commonly used method [LIU95]. The X2 method
evaluates features individually by measuring their chi-squared statistic with respect to the classes.
Background (publication date, popularity/level of familiarity, rationale of approach, further comments)
Widely used standard feature selection method, disadvantage: does not take into
account feature interaction
Class-blind/class-sensitive feature selection
Class-sensitive feature selection
Filter/wrapper/hybrid approach
Filter
Type of Descriptor:
Interfaces:
Priority: Medium
Development status:
Homepage:
Dependencies:
External components: WEKA
Technical details
Data: No
Software: Yes
Programming language(s): Java
Operating system(s): Linux, Win, Mac OS
Input format: Weka's ARFF format
Output format: Weka's ARFF format
License: GPL
References
References:
[LIU95] Liu, H. and Setiono, R., Chi2: Feature selection and discretization of numeric attributes, Proc. IEEE 7th International Conference on Tools with Artificial Intelligence, 338-391, 1995
