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:
https://github.com/bcjaeger/aorsf-bench/blob/main/paper/arxiv/main.pdf