کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1144718 957429 2015 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Bias corrections for Random Forest in regression using residual rotation
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آمار و احتمال
پیش نمایش صفحه اول مقاله
Bias corrections for Random Forest in regression using residual rotation
چکیده انگلیسی

This paper studies bias correction methods for Random Forest in regression. Random Forest is a special bagging trees that can be used in regression and classification. It is a popular method because of its high prediction accuracy. However, we find that Random Forest can have significant bias in regression at times. We propose a method to reduce the bias of Random Forest in regression using residual rotation. The real data applications show that our method can reduce the bias of Random Forest significantly.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the Korean Statistical Society - Volume 44, Issue 2, June 2015, Pages 321–326
نویسندگان
,