In this session, we’ll predict the same outcome multiple ways to build intuition for how different model types operate and when to use each. We’ll compare framing the problem as classification (a yes/no or category outcome), regression (a numeric outcome), and time-series forecasting (predicting what happens next over time). You’ll leave with a practical understanding of the tradeoffs, evaluation metrics, and how model outputs translate into scenario-ready inputs in Lyric.