In the world of Machine Learning (ML), defining the success criteria for your models is a crucial but often complex task. Many people tend to fixate on the idea of achieving a high percentage of accuracy, like 80% or 90%, as a one-size-fits-all benchmark. However, the reality is far more nuanced. Model success is not…
