Benchmarking aorsf

Work in progress

By Byron C Jaeger in Machine learning survival analysis variable importance

July 29, 2022

aorsf is an R package for oblique random survival forests, designed with a fast core algorithm and a friendly API. aorsf-bench summarizes aorsf’s efficiency and prediction accuracy compared to obliqueRSF and several standard packages for risk prediction using machine learning.

I plan on filling this page with the contents of the readme file for aorsf-bench, and I plan to work on that readme file very soon. I will also be putting aorsf-bench on ArXiv soon. If you are eager to see the results, you can find everything here: