Soeren H. Welling, Hanne H.F. Refsgaard, Per B. Brockhoff, Line H. Clemmensen
TL;DR提出了一种名为 Forest Floor 的可视化方法，用于解释 random forest 模型，通过使用特征的贡献值和降维投影的方法，能够准确识别模型的交互作用及局部细节。
Abstract
We propose a novel methodology, forest floor, to visualize and interpret
random forest (RF) models. RF is a popular and useful tool for non-linear
multi-variate classification and regression, which yields a good trade-off
between robustness (low variance) and adaptiveness (low bias). D