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From this chart, you can easily identify the performance of different models. As you can see in Figure 9-12, the chart shows four curved lines and two straight lines. The four curves show the predictive models (Decision Trees, Na ve Bayes, Neural Network, and Clustering), and the two straight lines represent the Ideal Model (top) and the Random Guess (bottom). The x-axis represents the percentage of population (all cases), and the y-axis represents the percentage of the target population (bike buyers). From the Ideal Model line, you can see that approximately 50 percent of Adventure Works customers buy bikes. If you could predict with 100 percent probability which customers will buy a bike and which will not, you would need to target only 50 percent of the population. The Random Guess line indicates that if you were to pick cases out of the population randomly, you would need 100 percent of the cases for 100 percent of bike buyers. Likewise, with 80 percent of the population, you would get 80 percent of all bike buyers, with 60 percent of the population 60 percent of bike buyers, and so on. Data mining models give better results in terms of percentage of bike buyers than the Random Guess line but worse results than the Ideal Model line. From the lift chart, you can measure the lift of the data mining models from the Random Guess line, which explains where the name lift chart comes from. Of course, a model predicts the outcome with less than 100 percent of probability in all ranges of the population therefore, to get 100 percent of bike buyers, you still need

Adding Members to the DnsUpdateProxy Group You can configure the DnsUpdateProxy global security group through the Active Directory Users And Computers console, as shown in Figure 7-14.

Developers should be aware that there are a number of significant enhancements to the T-SQL query language in SQL Server 2005 that augment the power of the T-SQL query language; they should ensure that they are taking full advantage of them before writing procedural code, whether in the CLR or otherwise New features in T-SQL that should be considered before writing CLR code are the ability to write recursive queries to traverse recursive hierarchies in a table; new analytical functions such as RANK and ROW_NUMBER that enable ranking rows in a result set; and new relational operators such as EXCEPT, INTERSECT, APPLY, PIVOT, and UNPIVOT Developers should view the CLR as an efficient alternative for logic that cannot be expressed declaratively in the query language In T-SQL, query language statements such as SELECT, INSERT, UPDATE, and DELETE are simply embedded within procedural code CLR code uses the ADO.

Figure 7-14

100 percent of the population. Data mining models give you interesting results somewhere between zero and 100 percent of the population. For example, if you take the highest curve, directly below the Ideal Model line, you can see that if you select 70 percent of the population based on this model, you would get nearly 90 percent of bike buyers. From the Mining Legend window, you can see that this is the Decision Trees curve. In terms of accuracy of predictions from the sample data used for analysis, the Decision Trees algorithm generates the best predictions, the Neural Network algorithm generates the second best, the Na ve Bayes algorithm generates the third best, and the Clustering algorithm generates the fourth best. In this case, you should deploy the Decision Trees model into production. The question is what is the correct percent of the population to target in order to maximize profit. This question is answered by another graph called a profit chart. A profit chart displays the estimated profit increase that is associated with using a mining model. Figure 9-13 shows a profit chart, which is based on the lift chart.

Important If you are using multiple DHCP servers for fault tolerance, and secure DNS dynamic updates are required on zones serviced by these DHCP servers, be sure to add each of the computers operating a Windows Server 2003 DHCP server to the DnsUpdateProxy glo bal security group.

NET data access provider for SQL Server (SqlClient) Using this approach, all query language statements are represented by dynamic strings that are passed as arguments to methods and properties in the ADONET API Because of this, data access written using the CLR can be more verbose than T-SQL More importantly, because the SQL statements are encoded in dynamic strings, they are not compiled or validated until they are executed, which affects both the debugging of the code and its performance It is important to note that both T-SQL-based and CLR-based programming models use the same SQL query language; only the procedural portions differ One issue that developers have with programming CLR code inside of SQL Server is the fact that data access is not as easy as it is with T-SQL In T-SQL, returning data is as simple as using a SELECT statement.