Extreme Gradient Boosting Combined with Conformal Predictors for Informative Solubility Estimation
Molecules, 2023 We used the extreme gradient boosting (XGB) algorithm to predict the experimental solubility of chemical compounds in water and organic solvents and to select significant molecular descriptors.
Ozren Jovic, Rabah Mouras
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Remote Sensing, 2022 Tea is second only to water as the world’s most popular drink and it is consumed in various forms, such as black and green teas. A range of cultivars has therefore been developed in response to customer preferences.
Rei Sonobe, Yuhei Hirono
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Examining variable selection methods for the predictive performance of regression models and the proportion of selected variables and selected random variables [PDF]
Heliyon, 2021 The selection of a descriptor, X, is crucial for improving the interpretation and prediction accuracy of a regression model. In this study, the prediction accuracy of models constructed using the selected X was determined and the results of variable selection, according to the number of selected X and number of selected variables that are unrelated to ...
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Effectiveness of Variable Selection Methods for Machine Learning and Classical Statistical Models
Quantitative Methods in EconomicsIn line with new international financial supervision directives (IFRS9), banks should look at a new set of analytical tools, such as machine learning. The introduction of these methods into banking practice requires reformulation of business goals, both
Urszula Grzybowska, Marek Karwański
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Input variable selection in time-critical knowledge integration applications: A review, analysis, and recommendation paper [PDF]
, 2013 This is the post-print version of the final paper published in Advanced Engineering Informatics. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural ...
Tavakoli, S, Poslad, S, Mousavi, A
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Combining Variable Selection and Multiple Linear Regression for Soil Organic Matter and Total [PDF]
, 2022 The successful estimation of soil organic matter (SOM) and soil total nitrogen (TN) contents with mid-infrared (MIR) reflectance spectroscopy depends on selecting appropriate variable selection techniques and multivariate methods for regression analysis.
Tongqing Liu +11 more
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Two-step variable selection in quantile regression models
上海师范大学学报. 自然科学版, 2015 We propose a two-step variable selection procedure for high dimensional quantile regressions, in which the dimension of the covariates, pn is much larger than the sample size n.
FAN Yali
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Combining Quadratic Penalization and Variable Selection via Forward Boosting [PDF]
, 2011 Quadratic penalties can be used to incorporate external knowledge about the association structure among regressors. Unfortunately, they do not enforce single estimated regression coefficients to equal zero.
Tutz, Gerhard, Ulbricht, Jan
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Integrating biological knowledge into variable selection : an empirical Bayes approach with an application in cancer biology [PDF]
, 2012 Background: An important question in the analysis of biochemical data is that of identifying subsets of molecular variables that may jointly influence a biological response.
Bayani, Nora +23 more
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Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution [PDF]
, 2006 Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and related scientific fields, for instance to select a subset of genetic markers ...
Zeileis, Achim +11 more
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