DSCI4520_Scoring_7

DSCI4520_Scoring_7 - DSCI 4520/5240 DATA MINING DSCI...

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Lecture 7 - 1 DSCI 4520/5240 DATA MINING Some slide material taken from SAS Education DSCI 4520/5240 Lecture 7 Model deployment and  Scoring Code DSCI 4520/5240 DBDSS (DATA MINING)
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Lecture 7 - 2 DSCI 4520/5240 DATA MINING Objectives Discuss the tasks involved in scoring data. Be aware of some pitfalls in developing and deploying models. Generate and use score code within SAS Enterprise Miner. Use score code outside of SAS Enterprise Miner.
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DSCI 4520/5240 DATA MINING Scoring The predictive modeling task is not completed until the model is practically applied to new cases. This is called scoring. In database marketing, this process can be very burdensome, because the data to be scored may be many times more massive that the data used to develop the model. Moreover, the data may be stored in different format on a different system using different software. In other applications, such as fraud detection, the model
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DSCI4520_Scoring_7 - DSCI 4520/5240 DATA MINING DSCI...

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