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At the end you mentioned a few metrics to test if your "novel" compounds were actually novel. I would suggest also something like a min-max distance from top performers. For example, you predict compound X. Take the distance of compound X from the top 20 known good performers and see what is the closest known good performer. The most novel compounds are the ones with the maximum distance from any known top performer.
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Great suggestion by @computron after @sp8rks 's Materials Project seminar
The text was updated successfully, but these errors were encountered: