Support of data sets that contain missing values

When you create decision tree models, you can use data sets that contain missing values. Be aware, however, that missing values affect operations that rely on the availability of attribute values.

Note: This feature is available starting from Db2® version 11.5.4.
If the values of one or more attributes are missing for some data sets, you cannot do the following actions as usual:
  1. Class distribution calculation because a class counts for each node-attribute-value
  2. Split evaluation because class impurity counts for each node-attribute-value
  3. Split application because the splitting data is based on equality conditions or inequality conditions