From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression.

We introduce a pair of Shiny web applications that allow users to visualize random forest prediction intervals alongside those produced by linear regression models. The apps are designed to help undergraduate students deepen their understanding of the role that assumptions play in statistical modeli...

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Detalles Bibliográficos

Publicado en:	American Statistician Vol. 76; no. 4; pp. 414 - 430
Autores principales:	Sage, Andrew J., Liu, Yang, Sato, Joe
Formato:	Artículo
Publicado:	Taylor & Francis Ltd Nov2022
Materias:	Forecasting Random forest algorithms Regression analysis Statistical models Educational objectives Web-based user interfaces
Acceso en línea:	Ver este registro en EBSCOhost