Which machine learning technique is most commonly used by major performing arts venues to implement dynamic ticket pricing based on demand forecasting?

The performing arts industry has been revolutionizing its audience engagement strategies through advanced retail technologies. Modern venues and production companies are implementing sophisticated machine learning algorithms to optimize ticket sales, personalize marketing, and predict attendance patterns. This poll tests your knowledge of how machine learning is transforming the business side of performing arts venues and productions in the digital age.

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Reinforcement learning algorithms that adjust prices in real-time based on purchase patterns and remaining inventory
Simple linear regression models that only consider historical sales data from the same day of week
Facial recognition systems that gauge audience sentiment during performances to set future prices
Blockchain-based bidding systems where audience members compete for the best seats