By SAS Institute

Information mining helps you to observe beneficial hidden info on your information and use it to resolve your online business difficulties. This introductory advisor to facts mining makes use of a case learn procedure that takes you thru the SAS company Miner interface from preliminary info entry to numerous accomplished analyses, similar to predictive modeling, clustering research, organization research, and hyperlink research. while you're a brand new SAS company Miner person, you will discover this pleasant consultant to be a useful source as you navigate the interface. After finishing the case reviews during this advisor, you'll be ready to take on the extra complex statistical analyses which are lined within the SAS company Miner on-line reference documentation.

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Extra info for Data Mining Using SAS Enterprise Miner - A Case Study Approach

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Create a new variable INDEROG that indicates whether DEROG is greater than 0. Repeat the process for DELINQ but name the new variable INDELINQ. To create the variable INDEROG: 1 Select Tools Create Variable from the main menu. Alternately, you can click the Create Variable ( icon in the toolbox). ) tool 2 Type INDEROG in the Name box. 3 Select Define. 4 Type in the formula DEROG > 0. This definition is an example of Boolean logic and illustrates a way to dichotomize an interval variable. The statement is either true or false for each observation.

In the Model Manager, select Tools Lift Chart A cumulative %Response chart appears. By default, this chart arranges observations (individuals) into deciles based on their predicted probability of response, and then plots the actual percentage of respondents. For this example, the individuals are sorted in descending order of their predicted probability of default on a loan. The plotted values are the cumulative actual probabilities of loan defaults. If the model is useful, the proportion of individuals that defaulted on a loan will be relatively high in the top deciles and the plotted curve will be decreasing.

1. If necessary, change the measurement level for DEROG and DELINQ to ordinal. This is not done in this example. To modify the measurement level information for DEROG, proceed as follows: 1 Right-click the Measurement Level column of the row for DEROG. 2 Select Set Measurement Level ordinal 3 Repeat steps 1 and 2 for DELINQ. Alternatively, you could have updated the model role information for both variables simultaneously by selecting the rows for both DEROG and DELINQ before following steps 1 and 2.

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