Improved high-dimensional prediction with Random Forests by the use of co-data

摘要

BackgroundPrediction in high dimensional settings is difficult due to the large number of variables relative to the sample size. We demonstrate how auxiliary ‘co-data’ can be used to improve the performance of a Random Forest in such a setting.