The paper extends mRMR feature selection with non-linear redundancy and model-based relevance measures, evaluates them on Uber marketing data, and selects FCQ for production deployment.
An improved maximum relevance and minimum redundancy feature selection algorithm based on normalized mutual information,
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Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform
The paper extends mRMR feature selection with non-linear redundancy and model-based relevance measures, evaluates them on Uber marketing data, and selects FCQ for production deployment.