costSensitiveAttributeSelection · This package provides two meta attribute selection evaluators - one for performing cost-sensitive attribute evaluation (CostSensitiveAttributeEval) and a second for performing cost-sensitive subset evaluation (CostSensitiveSubsetEval). Both methods take a cost matrix and a base evaluator. If the base evaluator can handle instance weights, then the training data is weighted according to the cost matrix, otherwise the training data is sampled according to the cost matrix.

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• Latest Stable: 1.0.3.jar

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Version		Vulnerabilities	Size	Updated
1.0.x	costSensitiveAttributeSelection-1.0.3.jar		11.13 KB	Apr 29, 2014
	costSensitiveAttributeSelection-1.0.2.jar		11.12 KB	Apr 26, 2012
	costSensitiveAttributeSelection-1.0.1.jar		11.12 KB	Apr 23, 2012

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weka.attributeSelection

├─ weka.attributeSelection.CostSensitiveASEvaluation.class - [JAR]

├─ weka.attributeSelection.CostSensitiveAttributeEval.class - [JAR]

├─ weka.attributeSelection.CostSensitiveSubsetEval.class - [JAR]