Supplementary Data: Iterative Random Forests To Discover Predictive And Stable High-Order Interactions

Name: Supplementary Data: Iterative Random Forests To Discover Predictive And Stable High-Order Interactions
Creator: University of Birmingham; Lawrence Berkeley National Laboratory;; University of California, Berkeley; Preminon Inc.; Cornell University; University of California, Berkeley
Published: 2017-09-05T00:00:00+08:00

Zenodo2017-09-05 更新2026-04-07 收录

高阶交互发现

迭代随机森林

数据链接：

https://zenodo.org/record/1401347 数据链接链接失效反馈

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资源简介：

This repository contains scripts and data for the simulations and case studies described in <em>iterative Random Forests to discover predictive and stable high-order interactions.</em>

提供机构：

University of Birmingham; Lawrence Berkeley National Laboratory;; University of California, Berkeley; Preminon Inc.; Cornell University; University of California, Berkeley

创建时间：

2017-09-05