Few problems in statistics are as perplexing variable selection the presence of very many redundant covariates. The problem is most familiar parametric environments such linear model or additive variants thereof. In this work, we abandon framework, which can be quite detrimental when covariates impact outcome a non-linear way, and turn to tree-based methods for selection. Such screening traditi...