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coffeecoffeecoffeee t1_j6o260e wrote

Reply to comment by qalis in [D] Have researchers given up on traditional machine learning methods? by fujidaiti

For interpretable ML, I really like what Cynthia Rudin's lab at Duke has been putting out. They have a great paper on building ML models that generate rules with integer scores for classification, like what doctors typically use (Arxiv).

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qalis t1_j6o5zha wrote

Yeah, I like her works. iModels library (linked in my comment under "rule-based learning" link) is also written by her coworkers IIRC, or at least implements a lot of models from her works. Although I disagree with her arguments in "Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead", paper which she is arguably the most well known for.

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