predictive modeling
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predictive modeling



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DEFINITION - Predictive modeling is a process used in predictive analytics to create a statistical model of future behavior. Predictive analytics is the area of data mining concerned with forecasting probabilities and trends. A predictive model is made up of a number of predictors, variable factors that are likely to influence future behavior or results. In marketing, for example, a customer's gender, age, and purchase history might predict the likelihood of a future sale.

To create a predictive model, data is collected for the relevant predictors, a statistical model is formulated, predictions are made and the model is validated (or revised) as additional data becomes available. The model may employ a simple linear equation or a complex neural network, mapped out by sophisticated software. The Data Mining Group, a vendor consortium, uses a XML-based language called the Predictive Model Markup Language (PMML) to enable the definition and sharing of predictive models between applications.

LAST UPDATED: 10 Nov 2005

Read more about predictive modeling:
- This DM Review article reminds readers that the ability to interpret and apply model insights depends on knowledge of the specific industry and market being modeled.
- FCW.com has more information in their document, "Analyze this.".
- The Open Data Group explores "Three Trends in Predictive Modeling."


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