The WEKA data mining software: an update
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Cites methods from "The WEKA data mining software: an u..."
...We evaluate all algorithms using our open-source WEKA-based (Hall et al. 2009) software,2 which also provides a wrapper around the MULAN software3 that contains additional methods....
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...Improving these algorithms, including threshold selection, was a focus of the work in Kiritchenko (2005). AdaBoost-based methods have mainly been used in bioinformatics applications (where boosting and decision trees are particularly popular (Kiritchenko 2005))....
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...We evaluate all algorithms under a WEKA-based [17] framework running under Java JDK 1.6 with the following settings....
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References
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"The WEKA data mining software: an u..." refers methods in this paper
...• Wrapper classifiers: allow the well known algorithms provided by the LibSVM [5] and LibLINEAR [9] thirdparty libraries to be used in WEKA....
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...Supported .le formats include WEKA s own ARFF format, CSV, LibSVM s format, and C4.5 s format....
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...6 is the ability to read and write data in the format used by the well known LibSVM and SVM-Light support vector machine implementations [5]....
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...This complements the new LibSVM and LibLIN-EAR wrapper classi.ers....
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...Wrapper classi.ers: allow the well known algorithms provided by the LibSVM [5] and LibLINEAR [9] thirdparty libraries to be used in WEKA....
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