Musk v2
Introduced by Dietteric et al. in Solving the multiple instance problem with axis-parallel rectangles
The Musk2 dataset is a set of 102 molecules of which 39 are judged by human experts to be musks and the remaining 63 molecules are judged to be non-musks. Each instance corresponds to a possible configuration of a molecule. The 166 features that describe these molecules depend upon the exact shape, or conformation, of the molecule.
Source: Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance DataPapers
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