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For example, it is often of interest to\nknow which, if any, of the predictors in a fitted model are relatively\ninfluential on the predicted outcome. Some modern algorithms---like random\nforests and gradient boosted decision trees---have a natural way of quantifying\nthe importance or relative influence of each feature. Other algorithms---like\nnaive Bayes classifiers and support vector machines---are not capable of doing\nso and model-free approaches are generally used to measure each predictor's\nimportance. In this paper, we propose a standardized, model-based approach to\nmeasuring predictor importance across the growing spectrum of supervised\nlearning algorithms. Our proposed method is illustrated through both simulated\nand real data examples. The R code to reproduce all of the figures in this\npaper is available in the supplementary materials.","url_abs":"http://arxiv.org/abs/1805.04755v1","url_pdf":"http://arxiv.org/pdf/1805.04755v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-simple-and-effective-model-based-variable","repo_url":"https://github.com/AFIT-R/vip","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"a-simple-and-effective-model-based-variable","repo_url":"https://github.com/koalaverse/vip","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"a-simple-and-effective-model-based-variable","repo_url":"https://github.com/monte-flora/scikit-explain","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1805.04755","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1805.04755"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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