Model Interpretability

Browse all content tagged with Model Interpretability

Glossary

Model Interpretability

Model interpretability refers to the ability to understand, explain, and trust the predictions and decisions made by machine learning models. It is critical in AI, especially for decision-making in healthcare, finance, and autonomous systems, bridging the gap between complex models and human comprehension.

Model Interpretability AI Machine Learning +3
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