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We also trained a regression tree with full cross-validation.
Using the randomly-selected observations, a regression tree is fit to the pseudo residuals.o 5.
A regression tree model was used to explain the characteristics associated with the violations.
A classification and a regression tree were made to identify prognostic models for the development of severe graft dysfunction.
A recursive splitting of cluster nodes describing a regression tree as has been described in [18] reiterates these advantages.
Pedotransfer functions were built using a regression tree model on a subset of the data for which total Si concentration was measured.
This includes multiple hypothesis testing and a regression tree that builds a parsimonious and predictive model of the suitable configurations of the parameters.
A regression tree analysis was undertaken to identify which of the constraining variables (forest disturbance types) best explained the observed forest loss in the field.
Typically, a decision tree is created in case of discrete response attribute, while a regression tree is developed if the response attribute is continuous [41].
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A supervised classification is performed for the building and the RSU scales using a regression trees model based on these indicators and on 10 urban fabric typological classes defined by urbanists and architects.
In this context, our study proposes a regression-tree model to predict the concentration level of zinc in the soils of northern Lebanon (as a case study of Mediterranean landscapes) under a GIS environment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com