Building Predictive Models in R Using the caret Package
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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
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Leaf to canopy upscaling approach affects the estimation of canopy traits
TL;DR: In remote sensing applications, leaf traits are often upscaled to canopy level using sunlit leaf samples collected from the upper canopy as mentioned in this paper, where the implicit assumption is that the top of canopy foliage m...
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Comparative analysis of rainfall prediction models using machine learning in islands with complex orography: Tenerife island
TL;DR: A comparative study between predictive monthly rainfall models for islands of complex orography using machine learning techniques shows that global predictors such as the North Atlantic Oscillation Index (NAO) have a very low influence, while the local Geopotential Height (GPH) predictor is relatively more important.
Journal ArticleDOI
Molecular diagnostics on the toxigenic potential of Fusarium spp. plant pathogens.
TL;DR: An efficient and rapid protocol for the detection of toxigenic Fusarium isolates producing three main types of Fus aquarium‐associated mycotoxins (fumonisins, trichothecenes and zearelanone) is proposed and tested.
Journal ArticleDOI
Germline cancer predisposition variants and pediatric glioma: a population-based study in California.
Ivo S. Muskens,Adam J. de Smith,Chenan Zhang,Helen M. Hansen,Libby M. Morimoto,Catherine Metayer,Xiaomei Ma,Kyle M. Walsh,Kyle M. Walsh,Kyle M. Walsh,Joseph L. Wiemels,Joseph L. Wiemels +11 more
TL;DR: A considerable fraction of pediatric glioma patients, especially those of higher grade, harbor a putatively pathogenic variant in a cancer predisposition gene, and some of these variants may be clinically actionable or may warrant genetic counseling.
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Early Detection of Sage (Salvia officinalis L.) Responses to Ozone Using Reflectance Spectroscopy.
Alessandra Marchica,Silvia Loré,Lorenzo Cotrozzi,Giacomo Lorenzini,Cristina Nali,Elisa Pellegrini,Damiano Remorini +6 more
TL;DR: The capability of full-range (350–2500 nm) reflectance spectroscopy to characterize responses of asymptomatic sage leaves under an acute O3 exposure is demonstrated and O3-tolerance was confirmed by trends of vegetation indices and leaf traits derived from spectra, further highlighting the capability of reflectanceSpectra to early detect the responses of crops to O3.
References
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