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Open the TK 70-448 Mining Models Project you created in the previous practices Double-click the TK448 Ch09 Prediction mining structure to open the Data Mining Designer On the Mining Models tab, right-click the filtered Decision Trees model (displayed in the last column on the right), and then select Delete Click OK to confirm the deletion You are deleting the model to get a less cluttered lift chart Deploy and process the solution Click the Mining Accuracy Chart tab In the top pane, make sure that the check boxes for all mining models are selected in the Select Predictable Mining Model Columns To Show In The Lift Chart and that the Synchronize Prediction Columns And Values check box is selected Also verify that in the Select Data Set To Be Used For Accuracy Chart area, the Use Mining Model Test Cases option is selected Leave the Filter Expression box empty.

Automatic Updates client (SUS Server 1.0 with Service Pack 1 (SP1).)

Partial Public Class StoredProcedures <Microsoft.SqlServer.Server.SqlProcedure()> _ Public Shared Sub SampleSP() ' start a transaction block Using tx As New TransactionScope()

A second CD-ROM contains a 180-day evaluation edition of Microsoft Windows Server 2003, Enterprise Edition.

In the Predict Value column of the Select Predictable Mining Model Columns To Show In The Lift Chart, select 1 in the drop-down list of any row Because the Synchronize Prediction Columns And Values check box is selected, you should get the same value in all rows of the Predict Value column automatically Your completed selection should be similar to the one shown in Figure 9-23 Click the Lift Chart tab Examine the lift chart Click the Classification Matrix tab Examine the matrix Click the Cross Validation tab Use the following parameters: Fold Count equal to 3, Max Cases equal to 3,000, Target Attribute equal to bike buyer, Target State equal to 1, and Target Threshold equal to 05 Click Get Results, and then examine the results For example, check the True Positive measure for each of the models (the first measure for each of the models).

Important The 180-day evaluation edition provided with this training kit is not the full retail product and is provided only for the purposes of training and evaluation. Microsoft Technical Support does not support this evaluation edition.

For additional support information regarding this book and the supplemental CD-ROM (including answers to commonly asked questions about installation and use), visit the Microsoft Press Technical Support Web site at http://www.microsoft.com/mspress/support/. You can also e-mail tkinput@microsoft.com or send a letter to Microsoft Press, Attn: Microsoft Press Technical Support, One Microsoft Way, Redmond, WA 98052-6399.

' connect to the context connection Using conn As New SqlConnection("context connection=true") conn.Open() ' do some changes to the local database End Using ' connect to a remote server (don't hardcode the conn string in real code) Using conn As New SqlConnection("server=MyServer; database=AdventureWorks;" & _ "user id=MyUser; password=MyPassword") conn.Open() ' do some changes to the remote database End Using ' mark the transaction as completed tx.Complete() End Using End Sub End Class

The True Positive measure shows how many times positive predictions (such as Bike Buyer = 1) were actually positive You should see that the standard deviation of the number of the True Positive predictions for three different splits of the training data is higher for Decision Trees than for Neural Network, although the number of True Positive predictions is higher for Decision Trees; this means that although the Decision Trees.

8

the DHCP: Requested Address field. The DHCP: Server Identifier field in the DHCP: Option Field section shows the IP address of the DHCP server offering the lease.

3. 4. 5.