3 Ways to Test the Accuracy of Your Predictive Models

In data mining, data scientists use algorithms to identify previously unrecognized patterns and trends hidden within vast amounts of structured and unstructured information. These patterns are used to create predictive models that try to forecast future behavior.

There are many different tests to determine if the predictive models you create are accurate, meaningful representations that will prove valuable to your organization—but which are best? To find out, we spoke to three top data mining experts. Here, we reveal the tests they use to measure their own results, and what makes each test so effective.

Author: Victoria Garment

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