Why Powerful Machine Learning Is Deceptively Easy

Impressive machine learning metrics can be dangerously misleading, often concealing a model's fundamental methodological fragility. Common pitfalls like data leakage, the uncritical acceptance of default settings, and poorly chosen evaluation metrics can create an illusion of high performance. For example, mishandling time-series data with a