Bagging: The Jury System That Taught Machine Learning the Wisdom of Crowds

Why does a jury have 12 members instead of 1? Because one person might be biased, distracted, or simply wrong — but 12 people voting together average out individual errors. This is exactly what Bagging does: train multiple models on different samples of data and let them vote. Here's how this simple idea dramatically reduces variance and creates more stable predictions.