Understanding complex predictive models with ghost variables Article Swipe

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Pedro Delicado , Daniel Peña ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1007/s11749-022-00826-x

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Mathematical Analysis

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Variable (mathematics) Measure (data warehouse) Relevance (law) Covariate Mathematics Design matrix Set (abstract data type) Test statistic Variables Random variable Statistics Covariance matrix Linear model Computer science Statistical hypothesis testing Data mining Programming language Law Political science Mathematical analysis

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Type: article
Language: en
Landing Page: https://doi.org/10.1007/s11749-022-00826-x
PDF: https://link.springer.com/content/pdf/10.1007/s11749-022-00826-x.pdf
OA Status: hybrid
Cited By: 3
References: 41
Related Works: 10
OpenAlex ID: https://openalex.org/W2996571993

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DOI: https://doi.org/10.1007/s11749-022-00826-x

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Title: Understanding complex predictive models with ghost variables

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-08-24

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Authors: Pedro Delicado, Daniel Peña

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Landing page: https://doi.org/10.1007/s11749-022-00826-x

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PDF URL: https://link.springer.com/content/pdf/10.1007/s11749-022-00826-x.pdf

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Concepts: Variable (mathematics), Measure (data warehouse), Relevance (law), Covariate, Mathematics, Design matrix, Set (abstract data type), Test statistic, Variables, Random variable, Statistics, Covariance matrix, Linear model, Computer science, Statistical hypothesis testing, Data mining, Programming language, Law, Political science, Mathematical analysis

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Cited by: 3

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Citations by year (recent): 2024: 2, 2023: 1

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References (count): 41

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referenced_works_count	41
abstract_inverted_index
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cited_by_percentile_year.min	89
corresponding_author_ids	https://openalex.org/A5084761843
countries_distinct_count	1
institutions_distinct_count	2
corresponding_institution_ids	https://openalex.org/I1312409250
sustainable_development_goals[0].id	https://metadata.un.org/sdg/15
sustainable_development_goals[0].score	0.46000000834465027
sustainable_development_goals[0].display_name	Life in Land
citation_normalized_percentile.value	0.65951369
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citation_normalized_percentile.is_in_top_10_percent	False