In the intricate dance of balancing efficiency and performance within AI projects, the selection among sparse, small and large models isn't just a technical decision—it's a strategic imperative that ...

The purpose of statistical model selection is to identify a parsimonious model, which is a model that is as simple as possible while maintaining good predictive ability over the outcome of interest.

Model selection is a critical step in model development and brings with it a significant level of model risk. This analysis considers a real-world example and compares the forecasts and uncertainties ...