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

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

Prediction 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. Co-data are incorporated in the Random Forest by replacing the uniform …