Interpretable machine learning for insurance
02 April 2021
Machine learning algorithms fit models based on patterns identified in data and can be very complex. In this report, we describe and illustrate a range of methods for interpreting machine learning models from the growing field of Interpretable Machine Learning (IML).
This report was originally published by the Society of Actuaries.
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About the Author(s)
Eric J Xu
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We’re here to help you break through complex challenges and achieve next-level success.