Glossary

What is Model Output?

Model Output definition
February 3, 2025
Model Risk Management

Model output is the prediction or decision made by a machine learning model based on input data.

In supervised learning, the model output is a predicted target value for a given input. In unsupervised learning, the model output may include cluster assignments or other learned patterns in the data.

Model output can be a single value, a probability distribution, a class label, or a series of continuous or discrete values, and is often used to evaluate the performance of a machine learning model.

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Yields

Behind Yields is a team of experts in risk, regulation, and technology. When we write as Yields, we share our combined knowledge to make complex topics clear and actionable.

Yields Model Risk Management (MRM) Suite

Staying compliant with evolving regulations, especially across different countries, is challenging. The Yields MRM Suite provides advanced tools specifically designed to help with Model Risk Management regulations, ensuring you meet these specific requirements effectively.

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