Testing Conditional Independence in Supervised Learning Algorithms

28 Jan 2019David S. WatsonMarvin N. Wright

We propose a general test of conditional independence. The conditional predictive impact (CPI) is a provably consistent and unbiased estimator of one or several features' association with a given outcome, conditional on a (potentially empty) reduced feature set... (read more)

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