These steps describe how to configure a fuzzy logic script, and then test the script to determine how well it works when used on your data.
Steps
Configure the script as described in the following table.
Section | Description | Required / Optional |
---|---|---|
Standard List | Select the standard list that is relevant to the script that you are testing. | Required |
Query or Dataset |
Select Notes:
|
Required |
Standard List Reference Field |
Select a column from the query or dataset that contains values that identify sub-sets of the specified Standard List (e.g., Equipment Class values). When the script is run, values in the specified field are compared to values in the List Reference field in Classifier Standard List records to determine which sub-set(s) of the script’s Standard List to use. |
Optional |
Classifier Input Fields |
Select the check box for each column in the query that you want to use as an input to the script. Tip: By default, the field selected in the Standard List Reference Field box is not included as an input to the script. If you want the script to process values in this field, include the column twice in your query or dataset. |
Required |
The script is configured.
Select
-or-
Select the Test Results tab.
The script processes the data and then predicts the result for each record. The Test Results workspace appears with 50 results per page.
Tip: To view a single row of the test results, select
The following columns appear in the grid:
Review the results to ensure they are as expected.
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