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

title	Testing and Validation Tasks and How-tos (Data Mining) | Microsoft Docs
ms.custom
ms.date	06/13/2017
ms.prod	sql-server-2014
ms.reviewer
ms.technology	analysis-services
ms.topic	conceptual
helpviewer_keywords	Mining Accuracy Chart [Analysis Services] predictive modeling [Analysis Services] mining structures [Analysis Services], predictive modeling Mining Accuracy Chart [Analysis Services], how-to topics mining models [Analysis Services], predictive modeling predictive accuracy [data mining]
ms.assetid	3a0b4dc9-5b64-4be1-aa5f-6ff26f43dbf8
author	minewiskan
ms.author	owend
manager	craigg

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

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