What does the Model Comparison tool in SAS Enterprise Miner select by default when a profit matrix is defined?

When a profit matrix is defined in the Model Comparison tool of SAS Enterprise Miner, the default selection is the model with the largest validation average profit. This approach is designed to evaluate the models not only based on overall accuracy but also on how effectively they generate profit based on the defined cost and benefit metrics in the profit matrix.

By prioritizing the model that maximizes profit, SAS Enterprise Miner helps ensure that business objectives are met. Rather than merely focusing on metrics like accuracy, which might not directly relate to profitability, the software accounts for the different outcomes and their respective financial impacts as defined in the profit matrix. This makes it possible to align model selection more closely with business goals, highlighting the practical relevance of the model's predictions in a real-world context.

In contrast, selecting based on the smallest validation average profit or training profit does not align with profit maximization objectives, nor does random model selection guarantee an optimal outcome. Therefore, choosing the model that yields the largest validation average profit is a strategic way to ensure that the selected model can deliver the best financial results according to the established metrics.