Some examples of studies that have used predictive models in obesity and nutrition research, and that have measured the quality of the predictions (rightmost column) are summarized in Table 1.

Predictive modeling is used in banking to identify fraud and illegal activities. For example, the amount and frequency of transactions are analyzed to recognize patterns or trends in money laundering.

There are a few different types of predictive modeling. Find out what makes each unique and how you can use them in your data projects.

In the 17th century, German astronomer Johannes Kepler figured out the laws of motion that made it possible to accurately ...

Predictive modeling is a common method of risk stratification, and although a number of predictive models have been developed for use in oncology care, they have rarely been tested alongside ...

It is well known that allowing the coefficients to be time-varying in a predictive model with possibly nonstationary regressors can help to deal with instability in predictability associated with ...

The analytics leader’s failure to make his model relatable to the CMO led to the model sitting on the shelf to this day and has limited his organization’s adoption of predictive modeling in general.

Predictive modeling is now viewed as a foundational tool in this modernization era, combining historical data with real-time signals from across the dealer ecosystem.