leastMedSquared · Implements a least median squared linear regression utilizing the existing weka LinearRegression class to form predictions. Least squared regression functions are generated from random subsamples of the data. The least squared regression with the lowest meadian squared error is chosen as the final model. The basis of the algorithm is Peter J. Rousseeuw, Annick M. Leroy (1987). Robust regression and outlier detection.

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• Latest Stable: 1.0.2.jar

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Version		Vulnerabilities	Size	Updated
1.0.x	leastMedSquared-1.0.2.jar		9.96 KB	Apr 26, 2012
	leastMedSquared-1.0.1.jar		9.96 KB	Apr 24, 2012

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weka.classifiers.functions

├─ weka.classifiers.functions.LeastMedSq.class - [JAR]