Description:

MLWizard is a software wizard that guides the user in three simple steps from his dataset at hand to an optimized classification system. The dataset is analyzed and classification algorithms are recommended by predicting their accuracy for the given dataset. Additionally, the most important parameters of the used classifier are optimized automatically using a meta-learning approach as well. Finally, MLWizard automatically creates a classification pipeline within RapidMiner that is tailored to the users datasets and can be used immediately.

Changes to previous version:

Faster parameter optimization using genetic algorithm with predefined start population.

BibTeX Entry: Download

Supported Operating Systems: Platform Independent

Data Formats: Arff, Csv, Xrff

Tags: Classification, Meta Learning, Parameter Optimization, Recommendation

Archive: download here

Other available revisons

Version	Changelog	Date
5.2	Faster parameter optimization using genetic algorithm with predefined start population.	July 26, 2012, 15:04:14
2.0	Initial Announcement on mloss.org.	April 23, 2012, 14:25:24

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