FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2969476445> ?p ?o ?g. }

• W2969476445 abstract "Variable importance (VI) tools describe how much covariates contribute to a prediction model's accuracy. However, important variables for one well-performing model (for example, a linear model $f(mathbf{x})=mathbf{x}^{T}beta$ with a fixed coefficient vector $beta$) may be unimportant for another model. In this paper, we propose model class reliance (MCR) as the range of VI values across all well-performing model in a prespecified class. Thus, MCR gives a more comprehensive description of importance by accounting for the fact that many prediction models, possibly of different parametric forms, may fit the data well. In the process of deriving MCR, we show several informative results for permutation-based VI estimates, based on the VI measures used in Random Forests. Specifically, we derive connections between permutation importance estimates for a single prediction model, U-statistics, conditional variable importance, conditional causal effects, and linear model coefficients. We then give probabilistic bounds for MCR, using a novel, generalizable technique. We apply MCR to a public data set of Broward County criminal records to study the reliance of recidivism prediction models on sex and race. In this application, MCR can be used to help inform VI for unknown, proprietary models." @default.
• W2969476445 created "2019-08-29" @default.
• W2969476445 creator A5007008626 @default.
• W2969476445 creator A5027347026 @default.
• W2969476445 creator A5040468715 @default.
• W2969476445 date "2018-01-04" @default.
• W2969476445 modified "2023-10-17" @default.
• W2969476445 title "All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously" @default.
• W2969476445 cites W147186041 @default.
• W2969476445 cites W1710423945 @default.
• W2969476445 cites W1875061881 @default.
• W2969476445 cites W1967956032 @default.
• W2969476445 cites W1981485067 @default.
• W2969476445 cites W1996031526 @default.
• W2969476445 cites W2017665047 @default.
• W2969476445 cites W2018502278 @default.
• W2969476445 cites W2026925128 @default.
• W2969476445 cites W2027735689 @default.
• W2969476445 cites W2044256871 @default.
• W2969476445 cites W2058416167 @default.
• W2969476445 cites W2065230098 @default.
• W2969476445 cites W2065565905 @default.
• W2969476445 cites W2083685419 @default.
• W2969476445 cites W2083844448 @default.
• W2969476445 cites W2084341220 @default.
• W2969476445 cites W2084710828 @default.
• W2969476445 cites W2088286197 @default.
• W2969476445 cites W2090204095 @default.
• W2969476445 cites W2095600447 @default.
• W2969476445 cites W2097296149 @default.
• W2969476445 cites W2100960835 @default.
• W2969476445 cites W2103012681 @default.
• W2969476445 cites W2108708644 @default.
• W2969476445 cites W2110780281 @default.
• W2969476445 cites W2111296615 @default.
• W2969476445 cites W2122759946 @default.
• W2969476445 cites W2124005542 @default.
• W2969476445 cites W2125372574 @default.
• W2969476445 cites W2134914451 @default.
• W2969476445 cites W2140214428 @default.
• W2969476445 cites W2141833813 @default.
• W2969476445 cites W2143481518 @default.
• W2969476445 cites W2155163959 @default.
• W2969476445 cites W2156332695 @default.
• W2969476445 cites W2164423611 @default.
• W2969476445 cites W2169053895 @default.
• W2969476445 cites W2169178923 @default.
• W2969476445 cites W2169281690 @default.
• W2969476445 cites W2169986380 @default.
• W2969476445 cites W2171589180 @default.
• W2969476445 cites W2207674461 @default.
• W2969476445 cites W2270712421 @default.
• W2969476445 cites W2328176404 @default.
• W2969476445 cites W2510508396 @default.
• W2969476445 cites W2529251251 @default.
• W2969476445 cites W2584805976 @default.
• W2969476445 cites W2601087514 @default.
• W2969476445 cites W2735727547 @default.
• W2969476445 cites W2750812801 @default.
• W2969476445 cites W2751886678 @default.
• W2969476445 cites W2797333853 @default.
• W2969476445 cites W2798886417 @default.
• W2969476445 cites W2909062687 @default.
• W2969476445 cites W2911964244 @default.
• W2969476445 cites W2945976633 @default.
• W2969476445 cites W2962977061 @default.
• W2969476445 cites W2963480832 @default.
• W2969476445 cites W2964031043 @default.
• W2969476445 cites W2964907782 @default.
• W2969476445 cites W3003605245 @default.
• W2969476445 cites W3102711907 @default.
• W2969476445 cites W81972919 @default.
• W2969476445 hasPublicationYear "2018" @default.
• W2969476445 type Work @default.
• W2969476445 sameAs 2969476445 @default.
• W2969476445 citedByCount "124" @default.
• W2969476445 countsByYear W29694764452018 @default.
• W2969476445 countsByYear W29694764452019 @default.
• W2969476445 countsByYear W29694764452020 @default.
• W2969476445 countsByYear W29694764452021 @default.
• W2969476445 countsByYear W29694764452022 @default.
• W2969476445 countsByYear W29694764452023 @default.
• W2969476445 crossrefType "posted-content" @default.
• W2969476445 hasAuthorship W2969476445A5007008626 @default.
• W2969476445 hasAuthorship W2969476445A5027347026 @default.
• W2969476445 hasAuthorship W2969476445A5040468715 @default.
• W2969476445 hasConcept C105795698 @default.
• W2969476445 hasConcept C117251300 @default.
• W2969476445 hasConcept C119043178 @default.
• W2969476445 hasConcept C121332964 @default.
• W2969476445 hasConcept C134306372 @default.
• W2969476445 hasConcept C149782125 @default.
• W2969476445 hasConcept C150921843 @default.
• W2969476445 hasConcept C154945302 @default.
• W2969476445 hasConcept C159985019 @default.
• W2969476445 hasConcept C177264268 @default.
• W2969476445 hasConcept C182365436 @default.
• W2969476445 hasConcept C192562407 @default.
• W2969476445 hasConcept C199360897 @default.
• W2969476445 hasConcept C204323151 @default.

• next