Researchers to use AI and machine learning for predicting online gambling addiction early

By IANS on Oct 24, 2015 at 3:10 PM comments News A new ‘early warning’ system that automatically informs gamblers as soon as their behavior shows signs of turning into an addiction may help people engage in the pastime more responsibly, says a study. The system pinpoints whether a player’s gambling patterns are exhibiting signs of risk and starting to match those of previous players who asked online gambling sites to block them, for a fixed period, to stop them becoming ‘hooked’ – an option known as ‘self-exclusion’. The researchers found that by harnessing a machine learning method known as ‘random forests’ and applying it to a real-world online gambling dataset, the system could achieve 87 percent accuracy in predicting playing patterns which were likely to evolve in an unhealthy…


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