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An information theoretic approach to quantify the stability of feature selection and ranking algorithms
We illustrate the use of this stability metric with data generated in a fully controlled way and compare it with popular metrics including the Spearmans rank correlation and the Kunchevas index on feature ranking and selection outcomes, respectively.
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