Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
We aim to produce predictive models that are not only accurate, but are also interpretable to human experts. Our models are decision lists, which consist of a series of if … then. . . statements (e.g., if high blood pressure, then stroke) that discretize a high-dimensional, multivariate feature spac...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
Institute of Mathematical Statistics
2018
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| Online Access: | http://hdl.handle.net/1721.1/116158 |