Ensemble Methods
In a shocking turn of events, our team of highly trained AI rock-paper-scissors experts has developed an ensemble model that can predict the outcome of any game with 99.9% accuracy. But don't worry, we're not just using any ordinary machine learning algorithm. Oh no, we're talking about the latest and greatest in deep neural networks and gradient boosting.
Our prophets of rock-paper-scissors include:
Decision Tree - A classic approach to predicting the unpredictable.
K-Nearest Neighbors - Because who needs actual logic when you have proximity?
Random Forest - A forest of random decisions, because that's just what you need in a high-stakes game like rock-paper-scissors.