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PredictiveModeling

README.md

Predictive Modeling

Example 1: Predictive Modeling in SAS® Enterprise Miner™

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Goal:

The goal is to create a model to predict which home loans will be bad loans (that is, will be defaulted on).

Files:

PredictiveModeling.xml, PredictiveModeling.pdf

Example 2: High-Performance Predictive Modeling Using SAS® Enterprise Miner™

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Goal:

The goal is to create a model for a binary target that predicts which home loans are likely to be defaulted. This flow uses high-performance nodes in SAS Enterprise Miner. If you set up a grid environment, the high-performance nodes run in a distributed computing environment, enabling you to use a large number of observations and variables to train and assess a predictive in a shorter period of time. These high-performance nodes are built on multithreaded procedures, so you might see performance gain even when you run these nodes on single-machine mode.

Files:

HPPredictiveModeling.xml, HPPredictiveModeling.pdf

Example 3: SAS® High-Performance Analytics tip #3: Example flow diagram in SAS® Enterprise Miner™

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Goal:

Read about this example on SAS communities site at: https://communities.sas.com/t5/SAS-Communities-Library/SAS-High-Performance-Analytics-tip-3-Example-flow-diagram-in-SAS/ta-p/248960

Files:

HPPredictiveModelingTip.xml, HPPredictiveModelingTip.pdf

License: http://www.apache.org/licenses/LICENSE-2.0