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The risk assessment process is the core functionality of Datafactory. While care must be taken in choosing and defining the risk factors and in producing the groups of cases that capture sufficient variation in all of the risk factors, the value of the models that can be produced from the dataset depends heavily on the quality of the subjective risk assessments for each case.
Risk assessments are done using a tabular presentation of the cases in a particular group or set of groups. Risk assessments are entered as default probability values (between 0.0 and 1.0) for each of the cases in the group. For the risk range group (at the top level of the group hierarchy) all of the cases can be given a risk assessment. For all sub-groups, the reference group for that sub-group cannot have its risk assessment modified. Instead its risk assessment must be modified in the group in which it is not a reference group.
Cases in a variation group are presented in order from lowest risk to highest risk. When risk assessments are modified, click on the update button to reorder the cases to reflect the new information.
Cases in an evolution group are presented in the order in which they were created, from the original reference case to the case that will be the new reference case. This ensures that adjacent cases differ only with regard to a single risk factor.
It is valuable to ensure that the relative risk assessments make sense across groups rather than within groups. To do comparisons across cases in a sub-tree of groups, click on the name of the group at the top of the group risk assessment table. Doing so will bring up a tabular presentation of all cases in the entire subtree of groups starting from the current group. The cases are again ordered by their risk assessment.
This kind of cross-group risk assessment process is generally best done in a second pass through the cases in a dataset, once the within-group risk assessments have been completed. It ensures that users have provided input on the relative importance of the different risk factors.