Continuous attributes are used as input attributes in decision tree
creation. Buckets are created by dividing the range of values for the
continuous attribute into sub-ranges of equal extent. These buckets form
initial partitions. Mergers of adjacent partitions are considered to
determine score gains from such mergers, and the most useful mergers
occur. The resulting partitions are used as the discretization of the
continuous attribute for use as an input attribute.