machine-learning
model-interpretation
The process of understanding and explaining the predictions made by a machine learning model.
Expanded definition
Model interpretation is crucial for trust and transparency in machine learning applications, especially in sensitive areas like healthcare and finance. Techniques such as SHAP values and LIME help elucidate how individual features contribute to a model's predictions. The goal is to make complex models more understandable to practitioners and stakeholders.
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