The first method of the feature selection employed in this work was "greedy" stepwise selection (SEQ_ADD). MD were added one by one. At each step, the MD that allows achieving the most The prediction accuracy of this approach is demonstrated in Table . Confidence intervals of the accuracy measures are also shown. Standard deviations for various error measures are in the range of 9 -11 units. Such relatively large values of standard deviation show that the comparison of accuracy of prediction methods must be done very carefully, the accuracy varies with random modification of the data set. However, in many works it was done based only on one cross-validation experiment .