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This paper presents an approach for comparing various feature ranking (FR) methods. First, six classification benchmarks are created using Exhaustive Search (ES) to select the best feature subsets. The subset selections have been done within double (nested) cross-validation procedures guaranteeing realistic accuracy predictions to unseen examples. Next, seven filter FR approaches are compared and...
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