1. Add a Data Asset node that points to drug_long_name.csv.
2. Add a Type node after the Data Asset node. Double-click the Type node to open its properties, and select Cholesterol_long as the target.
3. Add a Logistic Regression node after the Type node. Double-click the node and select the Binomial procedure (instead of the default Multinomial procedure).
4. Right-click the Logistic Regression node and run it. An error message warns you that the Cholesterol_long string values are too long. When you encounter this type of message, follow the procedure described in the rest of this example to modify your data.

   

5. Add a Reclassify node after the Type node and double-click it to open its properties.
6. For the Reclassify Field, select Cholesterol_long and type Cholesterol for the new field name.
7. Click Get values to add the Cholesterol_long values to the original value column.
8. In the new value column, type High next to the original value of High level of cholesterol and Normal next to the original value of Normal level of cholesterol.

   

9. Add a Filter node after the Reclassify node. Double-click the node, choose Filter the selected fields, and select the Cholesterol_long field.

   

10. Add a Type node after the Filter node. Double-click the node and select Cholesterol as the target.

    

11. Add a Logistic node after the Type node. Double-click the node and select the Binomial procedure.

You can now run the binomial Logistic node and generate a model without encountering the error as you did before.