Welcome to the supplementary material of the Evolutionary Algorithm for Feature Interaction (EFI), a submission to the Fifth AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-2022). In the attached folders, you will find the source code for our algorithm, the data that was used to generate the results, and the figures that were used in the manuscript.
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A combination of the multi-objective genetic algorithm for feature selection and permutation based feature importance as a framework for discovering higher-order feature interactions in predictive models, submitted to the Artificial Intelligence, Ethics, and Society Conference (AIES 2022)
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A combination of the multi-objective genetic algorithm for feature selection and permutation based feature importance as a framework for discovering higher-order feature interactions in predictive models, submitted to the Artificial Intelligence, Ethics, and Society Conference (AIES 2022)
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