A Walk-through-guide for Using Decision Trees Software - Data Mining with Decision Trees: Theory and Applications - page 157

Fig. 10.6 Weka classifier results — Part B.
includes the split condition. The information for each leaf node includes
the suggested class (most frequent class) and the number of instances
belonging to this leaf. In case there are instances that do not belong to
the suggested class, their number would appear. For example, the numbers
48.0/1.0 presented in Figure 10.6 indicate that there are 48 instances in the
training set that fit the path: petalwidth>0.6 -> petalwidth<=1.7 ->
petallength<=4.9 .Fromwhich 47 are classified as Iris-versicolor whereas
one is classified differently (i.e. not Iris-versicolor).
It is possible to produce the tree in a graphics mode. For this purpose
right click the J48 classifier that is listed in the “resulted list” (located to
the left of the output sub-window) and select Visualize tree as illustrated