Common in machine learning, overfitting makes a system that knows its training data but can't predict patterns in new data.

What Can Cause Overfitting? In some ways, overfitting stems from issues with how the original data model was built, creating gaps in the machine’s understanding. This can happen for many reasons — ...

Unlock the secrets of overfitting and underfitting in machine learning. Learn how to optimize model performance and avoid common pitfalls.

A phenomenon similar to such overfitting is occurring not only in the field of machine learning but also in various situations in society as a whole.

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...