MultivariateRandomForest (1.1)

Multivariate Random Forest for Linearly Related Output Features.

In Random Forest, prediction has been done for single output feature, while linear relation between the output features has not been considered in other packages. In this package, using linear relation of the output features, a multivariate random forest prediction has been done, which can predict all the output features with one Random forest. If there is high correlation among the features, this MRF prediction gives better result than the individual RFs.

Maintainer: Raziur Rahman
Author(s): Raziur Rahman <>

License: GPL-3

Uses: bootstrap

Released over 3 years ago.