Variable importance evaluation with personalized odds ratio for machine learning model interpretability with applications to electronic health records‐based mortality prediction
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9642
Abstract: The interpretability of machine learning models, even though with an excellent prediction performance, remains a challenge in practical applications. The model interpretability and variable importance for well‐performed supervised machine learning models are investigated in this… read more here.
Keywords: machine learning; importance; variable importance; model ... See more keywords
Using variable importance measures to identify a small set of SNPs to predict heading date in perennial ryegrass
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-03232-8
Abstract: Prior knowledge on heading date enables the selection of parents of synthetic cultivars that are well matched with respect to time of heading, which is essential to ensure plants put together will cross pollinate. Heading… read more here.
Keywords: importance measures; using variable; predict heading; variable importance ... See more keywords
Elastic Correlation Adjusted Regression (ECAR) scores for high dimensional variable importance measuring
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-02706-0
Abstract: Investigation of the genetic basis of traits or clinical outcomes heavily relies on identifying relevant variables in molecular data. However, characteristics such as high dimensionality and complex correlation structures of these data hinder the development… read more here.
Keywords: variable importance; ecar; ecar scores; elastic correlation ... See more keywords
A general framework for inference on algorithm-agnostic variable importance
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2021.2003200
Abstract: In many applications, it is of interest to assess the relative contribution of features (or subsets of features) toward the goal of predicting a response — in other words, to gauge the variable importance of… read more here.
Keywords: importance; variable importance; agnostic variable; general framework ... See more keywords
On what to permute in test-based approaches for variable importance measures in Random Forests
Sign Up to like & getrecommendations! Published in 2019 at "Bioinformatics"
DOI: 10.1093/bioinformatics/bty1025
Abstract: In bioinformatics applications, it is currently customary to permute the outcome variable in order to produce inference on covariates to test novel methods or statistics whose distributions are poorly known. The seminal publication of Altmann… read more here.
Keywords: test based; importance; permute test; variable importance ... See more keywords
Intervention in prediction measure: a new approach to assessing variable importance for random forests
Sign Up to like & getrecommendations! Published in 2017 at "BMC Bioinformatics"
DOI: 10.1186/s12859-017-1650-8
Abstract: BackgroundRandom forests are a popular method in many fields since they can be successfully applied to complex data, with a small sample size, complex interactions and correlations, mixed type predictors, etc. Furthermore, they provide variable… read more here.
Keywords: intervention prediction; importance; measure; variable importance ... See more keywords
Accurate quantification of alkalinity of sintered ore by random forest model based on PCA and variable importance (PCA-VI-RF).
Sign Up to like & getrecommendations! Published in 2020 at "Applied optics"
DOI: 10.1364/ao.382102
Abstract: The alkalinity of sintered ore has an important impact on the quality, output, and energy consumption of blast furnace smelting, and there is an urgent need for a method for accurate quantifying of the alkalinity… read more here.
Keywords: alkalinity sintered; variable importance; sintered ore; model ... See more keywords