Correlation-based Feature Selection for Machine Learning
on ideas from test theory, provides an operational definitio n of this hypothesis. CFS (Correlation based Feature Selection) is an algorithm that couples this evaluation formula with an appropriate correlation measure and a heuristic search strategy. CFS was evaluated by experiments on artificial and natural da tasets. Three machine learn-
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