How to Select Variables Robustly in a Scoring Model

# Building Better Prediction Models: Quality Over Quantity The key to creating accurate prediction models isn't cramming in more data—it's choosing the right pieces of data that stay reliable over time. When businesses build systems to score customers (like predicting who'll repay a loan), they need variables that perform consistently, not ones that change unpredictably. The article explains practical methods for identifying which data points are actually trustworthy enough to include in these models.