What is Model Issue Classification?

Model issue classification is the process of identifying and categorizing problems that may occur during the development or use of machine learning models.

Common model issues include overfitting, underfitting, bias, variance, and poor generalization performance. Identifying and classifying model issues through techniques such as error analysis can help to determine root causes and suggest solutions for improving model performance and accuracy.

Scale your model risk management

Learn how technology can transform how you and your team manage model risk.