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Are we overfitting to our validation data?  How can we do better?

This one-day knowledge-exchange workshop to explore this question, primarily in a medical context, drawing together people from different perspectives (statistics, pharma and machine learning practitioners) to collaborate on this methodological issue and to develop more effective ways to use our medical (or other) data.  The ambition of this day is to build the network needed to write a consensus paper on this topic, targeted at a broad-reach journal.  Once the paper has been accepted, the intention is to run a follow-on symposium on the subject for a broader range of participants to discuss and disseminate our results, thereby helping to improve the practice of building ML models in medicine.

Schedule