Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users. Explanation methods that help users understand and trust machine-learning models often describe how much certain features used in the model contribute to its prediction. Credit: Christine Daniloff, MIT; stock image
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.
Explanation methods that help users understand and trust machine-learning models often describe how much certain features used in the model contribute to its prediction. For example, if a model predicts a patient’ …
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