What happens if a machine learning model makes nearly all of its training predictions correctly but still fails when it encounters fresh information? Surprisingly, a stronger model isn’t always associated with greater accuracy. Overfitting or underfitting, two frequent causes of model’s inability to generalize beyond their training data could be the issue. What is Model […]

Overfitting vs Underfitting: Why Machine Learning Models Get It Wrong