Interactive adjustment of decision rules

A computer program product, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code executable by at least one processor to perform:

• receiving a modified decision rule with one or more decision rule conditions for adjusting an original decision tree, wherein at least one of the decision rule conditions has been modified;
• selecting a decision rule condition that has been modified and a corresponding decision tree node of the original decision tree;
• selecting data records from a database for a parent node of the corresponding decision tree node;
• filtering the selected data records that match the decision rule condition;
• generating a sub-tree using the filtered data records with a first splitting variable from the modified decision rule condition;
• replacing an original sub-tree with the generated sub-tree and the decision rule condition to form an adjusted decision tree;
• and
• using the adjusted decision tree to predict a value of a target variable based on available predictors.

A computer system, comprising:

• one or more processors, one or more computer-readable memories and one or more computer-readable, tangible storage devices;
• and
• program instructions, stored on at least one of the one or more computer-readable, tangible storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to perform operations comprising:
• receiving a modified decision rule with one or more decision rule conditions for adjusting an original decision tree, wherein at least one of the decision rule conditions has been modified;
• selecting a decision rule condition that has been modified and a corresponding decision tree node of the original decision tree;
• selecting data records from a database for a parent node of the corresponding decision tree node;
• filtering the selected data records that match the decision rule condition;
• generating a sub-tree using the filtered data records with a first splitting variable from the modified decision rule condition;
• replacing an original sub-tree with the generated sub-tree and the decision rule condition to form an adjusted decision tree;
• and
• using the adjusted decision tree to predict a value of a target variable based on available predictors.