testing-and-validation-tasks-and-how-tos-data-mining.md

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Testing and Validation Tasks and How-tos (Data Mining) | Microsoft Docs	Learn how to compare the predictive accuracy of the mining models in your mining structure by using Data Mining Designer in SQL Server Data Tools.	10/31/2023	analysis-services	data-mining	conceptual	kfollis	kfollis	kfollis

Testing and Validation Tasks and How-tos (Data Mining)

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You can use the Mining Accuracy Chart tab of Data Mining Designer in [!INCLUDEssBIDevStudioFull] to compare the predictive accuracy of the mining models in your mining structure.

You can create four kinds of charts:

• Lift chart

• Profit chart

• Classification matrix

• Cross-validation report

The first three charts use the Input Selection tab to define the data that is used for generating the chart.

The Cross-validation chart is created by using additional inputs, available on the Cross-Validation tab. For more information, see Cross-Validation (Analysis Services - Data Mining).

For more information about how to use the mining accuracy chart, see Testing and Validation (Data Mining).

In This Section

• Create a Lift Chart, Profit Chart, or Classification Matrix

• Create a Cross-Validation Report

• Choose and Map Model Testing Data

• Apply Filters to Model Testing Data

• Choose the Column to Use for Testing a Mining Model

• Using Nested Table Data as an Input for an Accuracy Chart