SQB: Sequential Bagging on Regression

Methodology: Remove one observation. Training the rest of data that are sampled without replacement and given this observation's input, predict the response back. Replicate this N times and for each response, take a sample from these replicates with replacement. Average each responses of sample and again replicate this step N time for each observation. Approximate these N new responses by using bootstrap method and generate another N responses y'. Training these y' and predict to have N responses of each testing observation. The average of N is the final prediction. Each observation will do the same.

Getting started

Package details

AuthorMoshu Xie <mxie622@gmail.com>
MaintainerMoshu Xie <mxie622@gmail.com>
Package repositoryView on CRAN
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SQB documentation built on May 2, 2019, 9:27 a.m.