Building Predictive Models in R Using the caret Package
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TLDR
The caret package, short for classification and regression training, contains numerous tools for developing predictive models using the rich set of models available in R to simplify model training and tuning across a wide variety of modeling techniques.Abstract:
The caret package, short for classification and regression training, contains numerous tools for developing predictive models using the rich set of models available in R. The package focuses on simplifying model training and tuning across a wide variety of modeling techniques. It also includes methods for pre-processing training data, calculating variable importance, and model visualizations. An example from computational chemistry is used to illustrate the functionality on a real data set and to benchmark the benefits of parallel processing with several types of models.read more
Citations
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Journal ArticleDOI
Radiomics and Machine Learning With Multiparametric Preoperative MRI May Accurately Predict the Histopathological Grades of Soft Tissue Sarcomas.
TL;DR: Preoperative prediction of the grade of soft tissue sarcomas (STSs) is important because of its effect on treatment planning.
Journal ArticleDOI
Gene transcript analysis blood values correlate with 68Ga-DOTA-somatostatin analog (SSA) PET/CT imaging in neuroendocrine tumors and can define disease status
Lisa Bodei,Mark Kidd,Irvin M. Modlin,Vikas Prasad,Stefano Severi,Valentina Ambrosini,Dik J. Kwekkeboom,Eric P. Krenning,Richard A. Baum,Giovanni Paganelli,Ignat Drozdov +10 more
TL;DR: 68Ga-SSA PET imaging parameters (SUVmax) correlated with a circulating NET transcript signature and disease status could be predicted by an elevated quotient of gene expression (MORF4L2) and SUVmax.
Journal ArticleDOI
Clinical indicators of treatment-resistant psychosis.
Sophie E. Legge,Charlotte Dennison,Antonio F. Pardiñas,Elliott Rees,Amy Lynham,Lucinda Hopkins,Lesley Bates,George Kirov,Michael John Owen,Michael Conlon O'Donovan,James T.R. Walters +10 more
TL;DR: People with an earlier age at onset of psychosis and poor premorbid functioning are more likely to be treatment resistant and the genetic architecture of susceptibility to schizophrenia may be distinct from that of treatment outcomes.
Journal ArticleDOI
Compositional changes to the ileal microbiome precede the onset of spontaneous ileitis in SHIP deficient mice.
TL;DR: Findings indicate that SHIP is involved in maintaining ileal microbial homeostasis, and have broader implications for humans, since reduced SHIP protein levels have been reported in people with Crohn’s disease.
Journal ArticleDOI
Comparison of Machine Learning Algorithms for Predictive Modeling of Beef Attributes Using Rapid Evaporative Ionization Mass Spectrometry (REIMS) Data.
Devin A. Gredell,Amelia R. Schroeder,Keith E. Belk,Corey D. Broeckling,Adam L. Heuberger,Soo Young Kim,D. Andy King,Steven D. Shackelford,Julia L. Sharp,Tommy L. Wheeler,Dale R. Woerner,Jessica E. Prenni +11 more
TL;DR: An evaluation of REIMS as a tool to generate molecular scale information as an objective measure for the assessment of beef quality attributes revealed that the optimal machine learning algorithm, as assessed by predictive accuracy, was different depending on the classification problem, suggesting that a “one size fits all” approach to developing predictive models from REIMs data is not appropriate.
References
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