Beyond Accuracy: Measuring Productivity Weaknesses Caused by Excessive, Unwanted, and Underlying Signs of Regression
At first glance, adding more features to the model seems like an obvious way to improve performance. If the model can learn from more information, it should be able to make better predictions. However, in practice, this natural environment often presents subtle structural hazards. Every added feature creates additional dependencies on upstream data pipelines, external … Read more