iterativeAbsoluteErrorRegression: A meta learner that fits a regression model to minimize absolute error.

URL: http://weka.sourceforge.net/doc.packages/iterativeAbsoluteErrorRegression
Author: Eibe Frank
Maintainer: Weka team <wekalist{[at]}list.scms.waikato.ac.nz>

Provides a regression scheme that uses Schlossmacher's iteratively reweighted least squares method to fit a model that minimizes absolute error. The scheme can be used with any base learner in WEKA that performs least-squares regression.

All available versions:
Latest
1.0.0

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