New BOLE ensemble boosts accuracy in detecting changing data patterns
The article introduces a new method called BOLE to improve online learning when the data changes over time. By making some changes to existing methods, BOLE was able to achieve higher accuracy in predicting outcomes compared to other methods tested. This improvement was especially noticeable when dealing with datasets that had frequent changes in patterns.