Ensemble Learning for Robust Predictive Models

A single decision tree can be great at explaining a decision, but it's often fragile — a tiny change in the data can grow a completely different tree. Ensemble methods solve this by asking many models to vote. Think of it like asking a panel of experts instead of trusting one shaky opinion: the group is usually more accurate and far more stable.