It is vital to find a good middle ground for both these parameters or else the curves will either altogether drop too quickly with all significant features eliminated in a single round, or runtime is wasted without benefit.
removals and vector size need to be balanced so as to optimally capture enough of the highly significant features and not only the tail of the distribution.