Harry Cheon @scheon.com · Apr 24

Current approaches are unable to inform consumers when: 1. features are not responsive 2. features are not monotonically responsive (e.g., can't increase income "too much") 3. features must change in counterintuitive ways (e.g., decrease income) to obtain the desired prediction

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Harry Cheon · Apr 24

We develop methods to compute responsiveness scores for any dataset and models. Three main advantages: 1. Can be swapped in place of existing methods 2. Highlight responsive features 3. Flag instances where such features don't exist!