Random Forest Prediction Intervals.

Random forests are among the most popular machine learning techniques for prediction problems. When using random forests to predict a quantitative response, an important but often overlooked challenge is the determination of prediction intervals that will contain an unobserved response value with a...

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Detalles Bibliográficos

Publicado en:	American Statistician Vol. 74; no. 4; pp. 392 - 407
Autores principales:	Zhang, Haozhe, Zimmerman, Joshua, Nettleton, Dan, Nordman, Daniel J.
Formato:	Artículo
Publicado:	Taylor & Francis Ltd Nov2020
Materias:	Forecasting Random forest algorithms Quantile regression Machine learning
Acceso en línea:	Ver este registro en EBSCOhost