Choosing the Right Modeling Techniques

Many modeling techniques are available in IBM® SPSS® Modeler. Frequently, data miners use more than one to approach the problem from a number of directions.

Task List

When deciding on which model(s) to use, consider whether the following issues have an impact on your choices:

• Does the model require the data to be split into test and training sets?
• Do you have enough data to produce reliable results for a given model?
• Does the model require a certain level of data quality? Can you meet this level with the current data?
• Are your data the proper type for a particular model? If not, can you make the necessary conversions using data manipulation nodes?

For more information on the model types in IBM SPSS Modeler and their requirements, see the IBM SPSS Modeler documentation or online Help.