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#Weka.classifiers.rules Classes and Interfaces - 10 results found.
Name | Description | Type | Package | Framework |
C45PruneableDecList | Class for handling a partial tree structure pruned using C4. | Class | weka.classifiers.rules.part | Weka |
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ClassifierDecList | Class for handling a rule (partial tree) for a decision list. | Class | weka.classifiers.rules.part | Weka |
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DecisionTable | Class for building and using a simple decision table majority classifier. | Class | weka.classifiers.rules | Weka |
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DecisionTableHashKey | Class providing hash table keys for DecisionTableSee Also:Serialized Form | Class | weka.classifiers.rules | Weka |
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OneR | Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizing | Class | weka.classifiers.rules | Weka |
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PART | Class for generating a PART decision list. | Class | weka.classifiers.rules | Weka |
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PruneableDecList | Class for handling a partial tree structure that can be pruned using aVersion:$Revision: 10153 $Author:Eibe Frank (eibe@cs. | Class | weka.classifiers.rules.part | Weka |
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Rule | Abstract class of generic ruleVersion:$Revision: 8034 $Author:Xin Xu (xx5@cs. | Class | weka.classifiers.rules | Weka |
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RuleStats | This class implements the statistics functions used in the propositional rule learner, from the simpler ones like count of true/false positive/negatives, | Class | weka.classifiers.rules | Weka |
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ZeroR | Class for building and using a 0-R classifier. | Class | weka.classifiers.rules | Weka |