Correlation-based Feature Selection for Machine Learning
Feature selection degraded machine learning performance in cases where some features were eliminated which were highly predictive of very small areas of the instance space. Further experiments compared CFS with a wrapper—a well know n approach to feature selection that employs the target learning algorithmto evaluate feature sets. In many cases
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