forestFloor-package: forestFloor: visualize the random forest model structure

In sorhawell/forestFloor: Visualizes Random Forests with Feature Contributions

Description

forestFloor visualizes randomForests models(RF). Package enables users to understand a non-linear, regression problem or a binary classification problem through RF. Any model can be separated into a series of main effect and interactions with the concept of feature contributions.

Details

Package:	forestFloor
Type:	Package
Version:	1.9
Date:	2015-12-25
License:	GPL-2

Author(s)

Soren Havelund Welling

References

Interpretation of QSAR Models Based on Random Forest Methods, http://dx.doi.org/10.1002/minf.201000173
Interpreting random forest classification models using a feature contribution method, http://arxiv.org/abs/1312.1121

sorhawell/forestFloor documentation built on Oct. 23, 2021, 2:20 a.m.