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 sp...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Mathematical Statistics,
2018-06-06T19:04:08Z.
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| Subjects: | |
| Online Access: | Get fulltext |