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Scoring Systems - At the Extreme of Interpretable Machine Learning - Cynthia Rudin - Duke University
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- 1 Intro
- 2 Can a typo lead to extra prison time
- 3 Blackbox vs interpretable models
- 4 Are blackbox models more accurate
- 5 History of scoring systems
- 6 Designing optimal scoring systems
- 7 Elastic net example
- 8 Validation
- 9 RiskSlim
- 10 Cutting planes
- 11 Mixed integer programs
- 12 Lattice cutting plane
- 13 Recap
- 14 Applications
- 15 Accuracy
- 16 Criminal recidivism
- 17 ProPublica
- 18 Age vs Compass
- 19 Compass depends on race
- 20 Inputting data reliably
- 21 Compass is interpretable
- 22 Summary
