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Results for detecting the address bits of different scalings of the Mulitplexer benchmark problem. Each problem is ‘clean’, epistatic, and heterogeneous. Note that all features in these datasets are predictive in at least one subset of the training instances, and power reflects the ability to rank the subset of features that are important in all training instances (address bits), from those that are important only in a given subset (register bits).
