We propose to compare the three pruning filters and the
combinations of the pruning filters, as presented in Table 4.
The first column is the reference for our experiments. The
rates of number of rules remaining after the three filters are
used separately are presented in columns 2, 3, and 4. We
can note that the MICF filter is the most discriminatory,
pruning 92.3 percent of rules, comparing to other two ones
pruning 71 percent and, respectively, 43 percent of rules.