for RF than for LR. This supports the commonly formulated assumption that RF copes better with large numbers of features. As a consequence, the difference between RF and LR (bottom-right) increases with p′ from negative values (LR better than RF) to positive values (RF better than LR). In contrast, as n increases the performances of RF and LR increase slightly but quite similarly (yielding a relatively stable difference), while—as expected—their variances decrease; see the left column of Fig. 4.
