The average (over 200 repeats) number of rounds of the Boruta algorithm, in each of which the MD is considered as important, is shown. The confidence intervals (N = 200, p = 0.95) are shown. However, the accuracy of the OLS linear regression built using MD selected using the Boruta algorithm is very low (see Table ), much worse than with step-by-step selection. Consequently, this algorithm is not suitable for constructing linear QSRR, although it allows evaluating the importance of the MD in reproducible way.