handling continuous attribute
Handling Continuous Attributes in Decision Trees
It can be seen that the computation of splitting measures assumes finite (read: discrete) attribute values. This begs the question, How are continuous-valued attributes handled in decision trees? The test condition for continuous-valued attributes can either be expressed using a comparison operator (,). Alternatively, the continuous-valued attribute can be split into a finite set of range buckets. It is important to note that a comparison-based test condition gives us a binary split whereas range buckets give us a multiway split.