Which machine learning technique is most commonly used by major gaming companies to predict player churn (when a player is likely to stop playing)?

In the competitive gaming industry, understanding player behavior through advanced analytics has become crucial for game developers. Machine learning algorithms now help studios predict churn, personalize experiences, and optimize monetization strategies. This poll tests your knowledge about how gaming companies leverage customer analytics to enhance player engagement and retention in virtual worlds.

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Random Forest Classification
Simple Linear Regression
Convolutional Neural Networks (CNNs)
Association Rule Mining