Adam N. H. Smith

pyRforest integrates Python's Random Forest algorithms into R for efficient genomic data classification and analysis, offering improved interpretability and additional statistical methods.

The paper addresses the absent levels problem in random forest models by proposing a novel ordinal encoding method using principal coordinates analysis, showing it is unbiased and performs as well as target-based approaches.