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weka.CfsSubsetEval

weka.CfsSubsetEval

Visibility: public Uploaded 15-05-2014 by Joaquin Vanschoren Weka_3.7.10 0 runs
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M. A. Hall (1998). Correlation-based Feature Subset Selection for Machine Learning. Hamilton, New Zealand.

Parameters

DOutput debugging info.
EThe number of threads to use, which should be >= size of thread pool. (default 1)default: 1
LDon't include locally predictive attributes.
MTreat missing values as a separate value.
PThe size of the thread pool, for example, the number of cores in the CPU. (default 1)default: 1
ZPrecompute the full correlation matrix at the outset, rather than compute correlations lazily (as needed) during the search. Use this in conjuction with parallel processing in order to speed up a backward search.

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